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Hetkumar Patel
Data Analyst & AI / ML Engineer.
I build
digital experiences.
Bridging design
and engineering.
Experience
Electronics Repair Specialist
Dipak Electronics (Business Owner)
- [01]Using advanced diagnostic tools such as RT809F, RT809H, UFI, and MIPI Tester for electronic repairs and system debugging.
- [02]Employed HEX NEO software to debug operating systems, install OS, and configure software for various devices.
- [03]Repaired critical hardware components, including motherboards, power supplies, logic boards, and television panels.
- [04]Developed data services for Fiori applications, enhancing data accessibility for business users.
- [05]Provided technical services to over 30 clients, handling more than 5,000 repair cases.
- [06]Collaborated with service centers like LG, Samsung, and Sony, executing advanced electronic repairs and system optimizations.
Training in Campus
Edunet Foundation under SAP India
- [01]Completed a SAP-sponsored training program in collaboration with the EDUNET and CODE UNNATI foundations.
- [02]Gained expertise in NumPy, Pandas, and Data Analysis for data manipulation and processing.
- [03]Studied concepts of artificial intelligence (AI) and machine learning (ML), focusing on model development and optimization.
- [04]Explored the Internet of Things (IoT) and its applications in enterprise environments.
- [05]Developed a strong understanding of Enterprise Resource Planning (ERP) systems.
- [06]Enhanced employability skills, including problem-solving, teamwork, and communication.
// Select a role perspective
Data Analyst & Data Engineer
New Steel Art
- [01] Designed and maintained ETL/ELT pipelines processing 50K+ monthly records across Sales, Logistics, and Finance systems — performing data profiling, anomaly detection, and root cause analysis to improve data accuracy by 25%.
- [02] Built and orchestrated automated data workflows using Python and SQL, reducing manual reporting time by 30% and ensuring data quality, integrity, and reliability across 3 enterprise systems.
- [03] Developed 10+ KPI dashboards and scorecards in Power BI and Tableau, providing leadership with clear visibility into quality trends, performance improvements, and operational health.
- [04] Constructed demand forecasting models using scikit-learn and statistical analysis that improved inventory planning accuracy by 15% and reduced overstock risk across operations.
- [05] Partnered with cross-functional engineering, operations, and finance teams to define data requirements, translate business questions into scalable data solutions, and deliver monthly performance insights to senior management.
- [06] Enforced data governance standards, documented metadata management processes, and implemented data controls and validation mechanisms to maintain enterprise compliance.
Technical Skills
Languages
AI / ML
LLM & Agents
DevOps & Tools
Analytics & BI
Data Engineering
Data Quality & Governance
Education
Master of Science in Computer Science
Lawrence Technological University
Certifications
- 01SAP Analytics Cloud
- 02Development Associate - SAP HANA 2.0
- 03SAP S/4HANA Portfolio and Project Management
- 04SAP Ariba Supply Chain Collaboration 2022
- 05Edunet Training
- 06Accenture Data Analytics and Visualization Job Simulation
- 07Deloitte Data Analytics Job Simulation
- 08Oracle Cloud Infrastructure 2025 Certified Generative AI Professional
Publications & Writing
Deep Learning-Based Prediction of Lifespan Degradation in Concrete Bridges Due to Iron Oxidation
Machine Learning / Infrastructure Monitoring
Selected Works
AI-Powered Tech Support Multi-Agent System
Multi-Agent AI
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Fine-Tuned LLM for Product Management Assistance (Mistral-7B + LoRA)
Mistral-7B / LoRA
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AI Product Manager System (Multi-Agent LLM + RAG + Decision Intelligence)
Multi-Agent LLM / RAG
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Multi-Agent LLM Orchestration System (8 Agents → 1 Supervisor)
Python / Ollama / GLM-4.7-Flash
Blockchain base voting system
Ethereum 2.0 / Django
Storm, Hurricane, Rainfall, Flooding Database
Python / MySQL ETL
Agroinfo App UI Creation
Android / Firebase
Cryptocurrency Token Development
Solidity / Web3.js
Real-Time Streaming Fraud Detection Pipeline
Kafka / Spark Streaming / XGBoost
1.1M events/sec throughput via Kafka (KRaft) & Spark Structured Streaming with GPU-trained XGBoost scoring (ROC-AUC 0.977) and geo-velocity fraud features.
Cloud Lakehouse for E-Commerce Behavior Analytics
AWS / Spark / dbt / Airflow / Terraform
End-to-end cloud-native lakehouse ingesting 42.4M events at 16M records/sec with 13–33× speedup over Pandas, MLlib K-Means segmentation, and 8-panel Plotly Dash dashboard.
Big Data for E-Commerce User Behavior Analysis
Apache Spark / Spark SQL / MLlib / Plotly Dash
Scalable distributed analytics framework processing 42.4M e-commerce events through Apache Spark with K-Means clustering, RFM segmentation, anomaly detection, and interactive visualization.
Let's Work
Together.
Whether you have a question, a project idea, or just want to say hi, I'll try my best to get back to you!