Supply Chain Data Analyst who builds with AI. MBA in Logistics & Supply Chain Management, BCom in Computer Applications — I turn operational data into decisions with SQL, Excel, and Power BI, and I use AI coding tools (LLM assistants) to design and ship working analytics and automation systems.
About these repos, honestly: I architect the projects — the business problem, the data model, the pipeline design — and direct AI development tools to implement them, then validate the results. I can walk you through why every component exists; I'm still growing toward writing every line myself. I believe this AI-native way of building is a skill in its own right, and I'd rather show it transparently than pretend otherwise.
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- 🎓 MBA, Logistics & Supply Chain Management (Bharathidasan University) · BCom, Computer Applications
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- 📊 Excel · Power BI · Tableau · SQL · Python (working knowledge) · SAP S/4HANA (certified coursework)
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- 📍 Tamil Nadu, India · Open to Data Analyst / Supply Chain Analyst roles (Chennai, Bengaluru, Remote)
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📫 LinkedIn · vashokkumar2012001@gmail.com
Project Business problem it solves realtime-otif-sla-automation Monitors On-Time-In-Full delivery SLAs in real time — SQL window functions, PostgreSQL, Power BI + Power Automate alerting ml-logistics-risk-prediction Predicts which shipments are at risk of late delivery so planners can intervene early retail-demand-forecasting Forecasts retail demand (Corporación Favorita dataset) to reduce stockouts and overstock algorithmic-process-mining Discovers bottlenecks and conformance gaps in O2C / P2P processes from ERP event logs cloud-native-analytics-engineering-pipeline Models raw data into a clean star schema for BI reporting (dbt + Snowflake/DuckDB) Project What it explores production-grade-rag A document Q&A system with hybrid search, citations, and automated quality evaluation local-ai-assistant A private, offline resume optimizer and mock interviewer running on local models structured-extraction-ft Fine-tuning small models to extract clean, structured data from messy documents echoflow-voice-pipeline A real-time voice assistant pipeline (speech → LLM → speech) rag-observability-layer Monitoring, tracing, and CI regression-gating for RAG pipelines
Portfolio built over May 2025 – July 2026, alongside completing my MBA. Duration reflects the estimated time invested building and refining each project.
Project Duration Skills demonstrated production-grade-rag May 2025 – Jun 2025 (2 months) RAG architecture · hybrid search (BM25 + vector) · FastAPI · OpenTelemetry · LLM evaluation echoflow-voice-pipeline Jul 2025 – Aug 2025 (2 months) Real-time streaming · ASR/TTS · resilience patterns (circuit breakers) local-ai-assistant Sep 2025 (1 month) Local LLMs (Ollama) · privacy-first design · model benchmarking rag-observability-layer Oct 2025 – Nov 2025 (2 months) Monitoring & tracing · CI quality gates · regression testing structured-extraction-ft Dec 2025 (1 month) QLoRA fine-tuning · DPO · schema-validated JSON extraction cloud-native-analytics-engineering-pipeline Jan 2026 – Feb 2026 (2 months) dbt · DuckDB/Snowflake · Kimball star schema · Airflow · CI ml-logistics-risk-prediction Mar 2026 (1 month) Python · XGBoost · FastAPI serving · Streamlit retail-demand-forecasting Apr 2026 – May 2026 (2 months) Time-series forecasting (Prophet + gradient boosting) · MLflow · feature engineering realtime-otif-sla-automation Jun 2026 (1 month) SQL window functions · PostgreSQL (RLS, materialized views) · Power BI · Power Automate algorithmic-process-mining Jul 2026 (1 month) Process mining (pm4py) · conformance checking · KPI/bottleneck analysis · Streamlit
Analytics & BI: SQL · Microsoft Excel (advanced) · Power BI · Tableau · dashboarding & KPI reporting Domain: Supply Chain Management · Logistics · O2C / P2P processes · OTIF & SLA metrics · demand planning concepts · SAP S/4HANA · SAP Ariba Building: Python (working knowledge) · AI-assisted development (LLM coding tools) · Git/GitHub · process automation
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