Software & Analytics Engineer | Technical BA
Yusriyah Isnaini Mufidah
Results-driven Technical Business Analyst and Software & Analytics Engineer with 3+ years of experience across Full-Stack Web Development, Data Engineering, and Enterprise Business Intelligence. Proven track record architecting modular TypeScript SPAs, engineering high-throughput PostgreSQL stored procedures (PL/pgSQL RPCs), optimizing query execution plans from 30+ seconds to <1s, and automating complex financial/tax reconciliations (DJP Coretax, AR, Claims). Certified Google Cloud Professional Data Engineer with strong expertise translating complex logistics and financial operations into scalable, high-integrity technical systems.
Query Latency
>90% cut on million+ rows
Monthly GMV Lift
E-commerce bottleneck fixes
POD Docs / Cycle
95% manual time eliminated
Saved / Month
AI Bot & n8n automations
Google Cloud Certified
Professional Data Engineer & GenAI Leader
Bridging Deep Technical Engineering with Strategic Business Impact
I specialize in transforming intricate, data-heavy operational processes into high-speed, scalable software systems and crystal-clear business intelligence.
My professional journey combines the analytical precision of a Certified Google Cloud Professional Data Engineer with hands-on software development and user-centered design. Throughout my career, I have focused on solving real bottlenecks in high-velocity supply chain, e-commerce, and enterprise finance ecosystems.
At PT Jeje Harapan Transindo, I transformed legacy spreadsheet systems into an enterprise-grade TypeScript financial SPA (FATrack). By diving deep into database execution plans, I refactored slow relational queries from over 30 seconds to sub-second (<1s) execution, eliminated financial floating-point rounding errors via strict zero-threshold arithmetic, and automated the extraction of over 3,700 Proof of Delivery documents per cycle.
Previously at PT Titipbeliin Global Internasional, I analyzed cross-border e-commerce operations across SAP FI/SD modules and end-user platforms, pinpointing bottlenecks to boost monthly GMV by IDR 2.2 Billion while managing end-to-end quality assurance across 153 UAT test cases.
Whether architecting denormalized ClickHouse data marts, authoring PRDs in Jira, or deploying autonomous AI agent workflows with Gemini and n8n, my philosophy is grounded in one principle: technology must create measurable, defensible operational value.
- Defensive Data IntegrityZero-tolerance for financial calculation anomalies, strict |n| < 1 thresholds, and complete audit logging.
- Sub-Second ScalabilityOptimizing B-tree indexes, eliminating unindexed OR joins, and decoupling OLAP analytical loads from OLTP clusters.
- Autonomous WorkflowsCombining rule-based state machines with Google Gemini AI natural language processing to eliminate repetitive clerical work.
Database & Performance Engineering
Specialized in high-throughput PostgreSQL stored procedures (PL/pgSQL RPCs), query plan optimization (from 30+s to <1s), CTEs, LATERAL joins, and ClickHouse OLAP denormalization.
Financial & Logistics Reconciliation
Automated Account Receivable engines, DJP Coretax compliance (DPP, PPN 11%/12%, PPh 2%), logistics claims liability burden-splitting, and multi-entity debt ledger state machines.
AI & Workflow Automation
Engineering 24/7 operational WhatsApp bots integrated with Google Gemini AI, n8n workflow webhooks, and PostgreSQL logging, saving 40+ hours of manual administrative overhead per month.
Product Analytics & UI/UX Design
Translating complex logistics workflows into intuitive Figma design systems, authoring TMS Product Requirement Documents (PRDs), and executing comprehensive UAT testing (150+ test cases).
Work Experience & Quantified Impact
Detailed breakdown of engineering achievements, business results, and systems delivered across enterprise logistics and e-commerce.
Software Engineer (Data, BI & Enterprise Systems)
Additional Quantified Milestones
- Cut REST network calls by >65% via in-memory caching and batching
- Saved 40+ hours/month using Hybrid AI WhatsApp Bot and n8n workflows
Key Responsibilities & Deliverables
- Architected and refactored a legacy financial monolith into a modular, type-safe TypeScript Single Page Application (FATrack SPA) powered by Vite, Bootstrap 5/NiceAdmin tokens, and Supabase PostgreSQL BaaS, drastically improving UI responsiveness and system maintainability.
- Engineered high-throughput PostgreSQL stored procedures (PL/pgSQL RPCs) and relational views (get_all_invoice_dashboard, get_all_claims_dashboard, get_invoice_kpi_counts), managing complex financial joins, trip allocations, additional cost deductions, and dynamic audit logs across hundreds of thousands of logistics records.
- Built an automated Account Receivable (AR) & Invoice Reconciliation Engine featuring 40+ dynamic columns, 13 live KPI summary metrics, automated tax calculations (DPP, PPN 11%/12%/Free, PPh 2%), and discrepancy reconciliation factoring in 9 deduction categories with strict |n| < 1 absolute zero thresholds to eliminate floating-point rounding errors.
- Optimized PostgreSQL execution plans on multi-million-row tables (trips, invoices, points) by eliminating unindexed OR join conditions, refactoring aggregation CTEs, and deploying B-tree composite indexes, reducing query runtimes from 30+ seconds down to sub-second <1s.
- Architected denormalized OLAP analytical schemas (rfp_analytics) consolidating 20+ OLTP tables into 4 high-performance analytical views, and deployed ClickHouse ETL pipelines (jht-clickhouse-etl) with Materialized Views to establish a Single Source of Truth (SSOT) for fleet analytics.
- Implemented an end-to-end Logistics Claim & Incident Tracking Module with automated liability burden-splitting algorithms (Paid by Transporter, Paid by JHT, 70:30, 50:50, Tanggung Renteng) and a multi-entity Debt Ledger with automated state machine settlements (unpaid, partial, paid, overpay).
- Reduced REST network roundtrips by >65% by engineering a client-side in-memory cache manager with TTL expiration, parallel asynchronous request batching (Promise.all), and consolidated PostgREST queries.
- Enforced enterprise security, observability, and test automation through strict client-side Role-Based Access Control (RBAC) across 8 user roles, Sentry APM error tracing with reverse-proxy ad-blocker tunneling, and 52+ unit/integration tests with Vitest and Playwright.
- Engineered an automated AI WhatsApp Bot (bot-wa) integrated with n8n workflow webhooks, PostgreSQL, and Google Gemini AI to automate field operational requests, reducing issue classification lead time by 40% and saving 40+ hours per month.
- Automated Proof of Delivery (POD) document extraction using Python (Pandas, Playwright) and batch scripts, processing 3,700+ documents per cycle with 95% reduction in manual processing time and 100% data linking accuracy.
- Spearheaded Product Management initiatives by authoring comprehensive Product Requirement Documents (PRDs) in Jira/Confluence/ClickUp for the enterprise Transport Management System (TMS), aligning technical architectures with supply chain business workflows.
Technologies & Frameworks
Software Engineer (QA & Product Analytics)
UI/UX & Product Designer
Machine Learning Engineer Intern
UI/UX Designer Intern
DevOps & Cloud Computing Intern
Featured Systems, Data & UI/UX Projects
Real-world systems, analytical pipelines, operational AI bots, and human-centered design systems built from production requirements.
FATrack Apps — Enterprise Financial & Tax Management System
Modernized a brittle legacy Google Apps Script monolith into an enterprise-grade TypeScript Single Page Application and Supabase PostgreSQL BaaS, managing high-throughput logistics invoicing, claim tracking, and debt settlement.
Legacy financial operations were bottlenecked by slow spreadsheets, unversioned Google Apps Script scripts, unindexed database queries exceeding 30s, and high error rates in manual tax (DJP Coretax) and multi-deduction invoice reconciliations.
Architected a type-safe TypeScript SPA with Vite, high-throughput PL/pgSQL RPCs, an automated 40+ column AR reconciliation engine with strict |n| < 1 absolute zero thresholds, multi-unit inventory converters, and automated staging/production CI/CD on Firebase Hosting.
Key Outcomes & Metrics:
- Query runtime slashed from 30+s to <1s (>90% optimization)
- >65% reduction in REST network roundtrips
- Zero floating-point rounding errors via strict |n| < 1 threshold
- 52+ automated unit & integration test suites passed
Tech Stack & Tools:
ToolJet Automated Bulky Data Importer & Validation Engine
Engineered an automated bulk-upload data pipeline and pre-validation SQL engine handling >1,000 logistical rows per week for transporter quotation tiering and additional cost operations.
Logistics operations teams faced multi-hour delays and frequent database insertion errors when manually converting and verifying bulky Excel spreadsheets of transporter price matrices and additional cost updates.
Designed a synchronized pre-validation SQL engine (preview_valid vs preview_invalid) using PostgreSQL CTEs and LEFT JOIN LATERAL lookups that validates location ownership, date overlaps, and duplicate records prior to commit, completely eliminating manual spreadsheet parsing.
Key Outcomes & Metrics:
- 0% data defect rate achieved prior to database insertion
- Reduced processing SLA from hours to minutes
- >1,000 logistical transaction rows processed weekly
Tech Stack & Tools:
Hybrid AI Operational WhatsApp Bot & n8n Automation
Built an event-driven operational WhatsApp bot integrated with n8n workflow webhooks, PostgreSQL, and Google Gemini AI to automate field operational requests, ticket classification, and data lookups.
Field logistics personnel and operations teams communicated queries via unstructured WhatsApp chats, leading to lost requests, delayed operational changes, and hundreds of hours spent on manual ticket triage.
Developed a 24/7 containerized WhatsApp bot combining deterministic rule-based state machines with Google Gemini AI natural language processing to extract structured operational commands, auto-update PostgreSQL, and trigger downstream n8n webhooks.
Key Outcomes & Metrics:
- Saved 40+ hours of manual administrative effort every month
- Reduced issue classification lead time by 40%
- >85% classification accuracy on unstructured operational messages
- Maintained 99.9% uptime with sub-2s response latency
Tech Stack & Tools:
JHT ClickHouse Analytical Warehouse & Metabase OLAP
Architected denormalized OLAP analytical schemas and ClickHouse Materialized Views to decouple heavy analytical loads from production OLTP databases, powering executive dashboards across 4 divisions.
Real-time executive reporting and complex multi-table analytical joins were causing CPU spikes and locking issues on the primary transactional PostgreSQL cluster.
Designed the 'rfp_analytics' schema consolidating 20+ OLTP tables into 4 optimized analytical views, and built automated ClickHouse ETL pipelines with Materialized Views, serving 15+ thematic Metabase dashboard collections.
Key Outcomes & Metrics:
- Zero analytical read contention on the primary OLTP production database
- Sub-second load times for executive operational dashboards
- Complete Single Source of Truth (SSOT) across all fleet metrics
Tech Stack & Tools:
UmMeals — Social Impact Nutrition Analytics
Spearheaded data modeling, DAX measure creation, and interactive reporting on Microsoft Azure and Power BI for the 'UmMeals' healthcare initiative, winning Top 6 nationally in the Microsoft Innovation Challenge.
Healthcare workers and government agencies lacked unified, real-time data insights to pinpoint stunting risks and effectively allocate nutritional resources for pregnant mothers and toddlers.
Built a comprehensive star-schema data model in Power BI, formulated complex DAX measures to forecast nutritional deficits, and presented actionable resource distribution insights to executive judges.
Key Outcomes & Metrics:
- Awarded Top 6 Best Group nationally in the Microsoft Innovation Challenge
- Presented data-driven strategy directly to industry executive panels
Tech Stack & Tools:
Project Anya — Stunting Monitoring AI Application
Developed a computer vision application that classifies meal photos and computes nutritional adequacy to combat infant and maternal stunting, recognized as a Top 53 project out of 463 teams across Indonesia.
Monitoring dietary quality for stunting prevention is labor-intensive and subjective, requiring accessible mobile tools for immediate nutritional feedback.
Engineered Convolutional Neural Network (CNN) image classification models in TensorFlow, integrated with cloud backend microservices on Google Cloud Platform, and packaged within a Kotlin mobile application.
Key Outcomes & Metrics:
- Selected as Top 53 Project out of 463 national capstone teams in Bangkit Academy
- High model classification accuracy on complex multi-ingredient meal datasets
Tech Stack & Tools:
COVID-19 Case Prediction System (Published Research)
Engineered predictive machine learning models to forecast pandemic trajectories in Indonesia using linear regression algorithms, officially published in the accredited Teknomatika Journal.
Early pandemic phases required rigorous mathematical modeling to assist regional healthcare facilities in forecasting inpatient bed occupancy and medical supply requirements.
Developed an end-to-end data pipeline in Python, performing statistical feature engineering, linear regression fitting, and model validation across nationwide epidemiological datasets.
Key Outcomes & Metrics:
- Published in Teknomatika (Nov 2023, Garuda indexed)
- Graduated Bachelor of Computer Science with 3.88 / 4.00 GPA (Cum Laude)
Tech Stack & Tools:
Titipay E-Wallet & E-Commerce Platform Optimization
Led business process design, UI/UX architecture, and quality assurance for the cross-border e-commerce platform Titipbeliin and its integrated digital wallet 'Titipay'.
Cross-border purchasing involved high payment gateway fees, manual refund tracking, fraud vulnerabilities, and cart checkout friction across web and mobile platforms.
Designed the user flow for 'Titipay' e-wallet with Xendit payment gateway integration, mapped comprehensive UAT scenarios across SAP FI/SD modules, and created responsive Figma design systems.
Key Outcomes & Metrics:
- Boosted monthly platform sales by IDR 2.2 Billion
- Increased daily paid product orders by 200 units
- Designed 153 UAT test cases & resolved 420 system defects
Tech Stack & Tools:
CareBridge — Donation & Charity Mobile Platform
Designed a transparent donation and social crowdfunding mobile application that bridges verified charitable campaigns with compassionate donors through real-time fund tracking.
Donors often hesitate to contribute to social campaigns due to lack of transparency in fund disbursement and cumbersome donation checkout flows.
Crafted an intuitive mobile UI/UX featuring clear campaign milestone indicators, transparent expense audit logs, one-tap digital payments, and heartwarming donor testimonial spaces.
Key Outcomes & Metrics:
- Complete end-to-end interactive prototype delivered in Figma
- Validated through usability testing sessions with positive task completion scores
Tech Stack & Tools:
ArtBid App — Online Art Auctions & Collector Platform
Created an interactive mobile bidding and digital auction application tailored for contemporary art collectors, independent artists, and curated galleries.
Traditional art auctions are intimidating, exclusive, and lack accessible digital bidding experiences for the emerging generation of art enthusiasts.
Designed an elegant, dark-mode-first aesthetic with high-resolution artwork viewports, real-time live bidding timers, anti-sniping increments, and artist provenance authentication.
Key Outcomes & Metrics:
- High-fidelity interactive prototype with realistic bidding interactions
- Featured in personal UI/UX design showcase
Tech Stack & Tools:
FarmFood — Direct Agricultural Marketplace
Designed a farm-to-table marketplace interface connecting local agricultural farmers directly with culinary businesses, restaurants, and household consumers.
Agricultural supply chains in Indonesia suffer from high middleman markups and high produce spoilage rates before goods reach retail consumers.
Formulated a clean, user-friendly mobile and web interface with harvest date badges, direct farmer messaging, bulk tiered pricing, and localized cold-chain delivery options.
Key Outcomes & Metrics:
- Designed comprehensive user journeys for both Farmer and Buyer personas
- Comprehensive responsive component design system built in Figma
Tech Stack & Tools:
PasarPolis — Employee Benefits B2B Insurance Redesign
Conducted a comprehensive website redesign for PasarPolis Insurance Employee Benefits, streamlining B2B plan comparisons and employee claim submission experiences.
Corporate HR managers struggled with confusing policy comparisons, while employees experienced high drop-off rates during medical claim reimbursement submissions.
Restructured information architecture using design thinking principles, simplified insurance jargon into clear coverage cards, and streamlined the claim upload flow down to 3 quick steps.
Key Outcomes & Metrics:
- Substantially reduced simulated claim submission completion time
- Full case study and interactive prototype documented on Notion
Tech Stack & Tools:
UpSkill — Modern Online Tech Education Platform
Designed an edtech learning experience platform focusing on personalized career tracks, hands-on coding exercises, and gamified progress milestones for aspiring engineers.
Online self-paced course platforms often suffer from 90%+ student drop-out rates due to passive video lectures and lack of interactive feedback.
Crafted an engaging learning platform with bite-sized lesson modules, built-in code editor mockups, peer study group hubs, and interactive skill badge trees.
Key Outcomes & Metrics:
- High usability score on prototype navigation and lesson enrollment
- Integrated into professional design showcase
Tech Stack & Tools:
Enterprise Client Design Systems (Borlindo, Khatulistiwa Trans)
Designed and delivered production-grade digital booking and operational interfaces for leading intercity transit and hospitality operators in Indonesia.
Regional transport fleets relied on offline ticket counters and disorganized spreadsheets, causing double-bookings and passenger confusion during peak transit periods.
Developed custom seat selection engines, route schedule finders, and driver trip logs with clear typography and resilient offline-capable design patterns.
Key Outcomes & Metrics:
- Delivered production designs implemented by enterprise transport operators
- Client roster includes Borlindo, Pondok Jonggrangan, and Khatulistiwa Trans
Tech Stack & Tools:
Skills & Production Technologies
Organized across languages, high-performance database architectures, financial analytics, agentic automation, cloud deployments, and UI/UX design.
Programming Languages
Core languages used for backend logic, data pipelines, automation, and frontend SPAs
Databases & Data Engineering
Architecting high-throughput schemas, query execution plan tuning, and OLAP data pipelines
Business Intelligence & Financial Analytics
Translating operational numbers into executive visibility and automated reconciliation
AI, Automation & Modern Web
Agentic AI workflows, workflow engines, and modular frontend architectures
Cloud & DevOps Infrastructure
Certified cloud engineering, multi-site deployments, and telemetry observability
Product, UI/UX & QA Engineering
Bridging engineering rigor with intuitive user journeys, design systems, and software quality
Key Achievements & Recognition
Demonstrated milestones in national innovation challenges, high-throughput engineering optimizations, and business growth.
Top 6 Best Group — Microsoft Innovation Challenge
Led end-to-end data modeling, DAX measure creation, and interactive reporting for 'UmMeals' (healthcare analytics to address maternal stunting), presenting insights directly to executive judges.
Top 53 Product-Based Capstone — Bangkit Academy
Developed 'Project Anya', an AI-powered computer vision healthcare monitoring application for stunting detection, competing among 463 multidisciplinary teams across Indonesia.
Sub-Second Database Execution Plan Optimization
Refactored heavy PostgreSQL execution plans on multi-million row logistics tables (trips, invoices, points) by eliminating unindexed OR conditions, deploying B-tree composite indexes, and optimizing CTEs.
E-Commerce Revenue Expansion & Fraud Mitigation
Identified and resolved critical system bottlenecks across SAP FI/SD and e-commerce web/mobile platforms, boosting monthly sales by IDR 2.2B and daily product orders by 200 units.
Graduated with Honors (Cum Laude) & Published Thesis
Graduated with highest honors in Informatics (Computer Science). Authored and published peer-reviewed research on COVID-19 Case Prediction System in Teknomatika: Jurnal Informatika dan Komputer.
Education & Academic Leadership
Computer science degree with Cum Laude honors (3.88 GPA), published machine learning research, student association presidency, laboratory mentorship, and Google-incubated tech programs.
Degrees & Formal Tech Academies
Universitas Jenderal Achmad Yani Yogyakarta
Bachelor of Computer Science (S.Kom / S1 Informatika) — Informatics (Computer Science)
GPA: 3.88 / 4.00 (Cum Laude (Graduated with Honors))
“COVID-19 Case Prediction System in Indonesia Using Linear Regression Algorithm”
Key Academic Milestones & Curriculum:
- Graduated with highest academic honors (Cum Laude, GPA 3.88/4.00) with a curriculum focus on Data Engineering, Machine Learning, Database Architecture, and Software Engineering.
- Authored published machine learning research predicting COVID-19 transmission trends in Indonesia using linear regression algorithms, published in Teknomatika: Jurnal Informatika dan Komputer.
- Balanced academic excellence with extensive campus service as elected Head of Informatics Student Association (HMIF) and multi-semester Laboratory Teaching Assistant.
Bangkit Academy led by Google, GoTo, Traveloka
Ministry of Education & Culture (Kemendikbud-Ristek) SIB Tech Scholarship — Cloud Computing & Machine Learning Specialization
Graduated with 94.76 Score & Top 53 Capstone
Key Academic Milestones & Curriculum:
- Selected from over 63,000+ applicants nationwide for Google's prestigious tech talent development program across two intensive learning tracks.
- Cloud Computing Cohort (Feb 2021 – Jun 2021): Mastered Google Cloud Platform (GCP) Compute Engine architecture, Linux server operations, backend development, and IT Automation with Python, graduating with an outstanding average score of 94.76.
- Machine Learning Cohort (Feb 2022 – Jun 2022): Engineered TensorFlow models for computer vision, CNN, and NLP; built Capstone 'Project Anya' (AI Stunting Monitoring App) and ranked Top 53 out of 463 national teams.
Kementerian Pendidikan & Kebudayaan x Digitalent Scholarship
Microcredential & Professional Tech Acceleration Programs — Data Science, Cloud AI & Network Infrastructure
Key Academic Milestones & Curriculum:
- Associate Data Scientist Microcredential (Kemendikbud-Ristek, 2021): Intensive training in Python statistical modeling, EDA, data cleansing, and machine learning algorithm deployment.
- Power BI Data Analyst (Microsoft & FGA, 2024): Relational and NoSQL cloud data management on Azure, data lake architecture, DAX modeling, and automated executive reporting.
- Network Security (Cisco & ProA, 2024): Completed 45+ hands-on technical labs with Cisco hardware and Packet Tracer on firewall hardening, intrusion prevention systems, and secure VPN architectures.
Academic Leadership, Mentorship & Community
Head of Informatics Student Association (Ketua Himpunan Mahasiswa Informatika - HMIF)
Universitas Jenderal Achmad Yani Yogyakarta
Elected leader of the Informatics department student body, presiding over executive boards, departmental strategy, and student advocacy.
- Led the executive management board, orchestrating departmental academic programs, coding clinics, technical workshops, and soft-skills training.
- Fostered strategic partnerships and joint academic programs across faculties, university leadership, and regional student associations.
- Spearheaded tech seminars, competitive programming sessions, and department-wide orientation programs for incoming computer science undergraduates.
Assistant Lecturer (Asisten Dosen Laboratorium Informatika)
Informatics Computing Laboratory, UNJAYA
Appointed laboratory assistant to support faculty professors in conducting technical practicums and evaluating student implementations.
- Assisted faculty in leading hands-on laboratory practicums for Basic Programming (Python/C++) and Data Engineering courses.
- Mentored 20–25 undergraduate students per session in Python programming, algorithmic thinking, and lab implementation challenges.
- Evaluated weekly student lab implementations, reviewed code submissions, and conducted final semester practical assessments.
Data Mining Bootcamp Mentor
Informatics Faculty Bootcamp, UNJAYA
Technical mentor facilitating hands-on data analytics and cloud warehousing bootcamps for student analysts.
- Mentored 25+ students through exploratory data analysis (EDA), data cleansing, and statistical modeling with Python (Pandas, NumPy).
- Taught practical SQL querying, analytical modeling, and big data warehousing workflows using Google Cloud BigQuery.
- Conducted 1-on-1 code reviews and guided students in formulating actionable business insights for their final capstone presentations.
Core Team Member & Event Organizer — Google Developer Student Club (GDSC)
Google Developers Community Chapter, UNJAYA
Core organizer building and nurturing a vibrant Google developer student community on campus.
- Planned and executed developer tech talks, Google Cloud Study Jams, and machine learning hands-on workshops.
- Built a collaborative campus developer ecosystem connecting students with industry tech mentors and real-world project challenges.
Secretary & Regional Logistics Lead — DSC Jogja Festival 2020
DSC Jogja Regional Festival (Google Developer Student Clubs)
Executive organizing committee member for one of the largest regional developer student conferences in Yogyakarta.
- Managed official documentation, event proceedings, participant data, and schedule coordination for hundreds of regional participants.
- Coordinated cross-campus GDSC communications, speaker logistics, and multi-track technical presentation sessions.
Professional Certifications
Officially verified industry credentials spanning Cloud Data Engineering, Enterprise BI, Network Security, Machine Learning, and UI/UX.
Google Cloud Certified: Professional Data Engineer
Issuer: Google Cloud
Google Cloud Certified: Generative AI Leader
Issuer: Google Cloud
Microsoft Certified: Power BI Data Analyst Associate (PL-300)
Issuer: Microsoft
ID: 3844C8EF4649B838
Network Security Certification
Issuer: Cisco Networking Academy
ACA Big Data Certification
Issuer: Alibaba Cloud
ID: IACA03240900148745LID
TensorFlow Developer Professional Certificate
Issuer: Google
ID: 57023151
UI/UX Design Mastery (Gold Award)
Issuer: Skilvul
Google UX Design Specialization
Issuer: Coursera / Google
Get In Touch
Interested in discussing technical collaborations, enterprise database architecture, or product analytics opportunities? Reach out directly.
Direct Communication Channels
Prompt responses via Email and WhatsApp
Email Address
yusriyahisna24@gmail.com
WhatsApp Chat
+62 882-1638-0490
Current Location
Bekasi, West Java, Indonesia
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