Sai Rajesh
Tanikonda
I build data systems that improve inventory planning, supplier performance, and operational decision-making across supply chain and analytics workflows.
About Me
I am a Supply Chain Analyst with 3+ years of experience in procurement, supplier performance management, and inventory planning across telecom hardware and manufacturing environments. I own the full PO lifecycle, lead RFQ/RFP processes, and drive supplier performance improvements that reduce lead times and improve fulfillment outcomes.
My work spans direct procurement, sourcing strategy, inventory assurance, and cross-border trade coordination. I work closely with suppliers, operations, and finance teams to align supply with demand, resolve escalations, and keep production programs on track.
I combine hands-on supply chain execution with analytical tools — SAP MM/SD, Power BI, and SQL — to build visibility into procurement operations, standardize KPI reporting, and support faster, more informed decision-making across supply chain functions.
Projects
SkyStream
Real-time global flight tracking pipeline. Ingests ADS-B telemetry from ~9,000 aircraft every 10 seconds via Kafka to Spark Structured Streaming to Redis, rendered on a GPU-accelerated deck.gl map with sub-5-second end-to-end latency. Includes email landing alerts and 48-hour historical trail queries via TimescaleDB. Demonstrates real-time system visibility and low-latency operational monitoring at scale.
FinSight
AI-assisted financial analytics platform that brings market dashboards, portfolio intelligence, research notes, curated news, and Telegram delivery into one full-stack product powered by FastAPI, React, DuckDB, Spark, Kafka, and dbt. Enables near real-time financial analysis and decision-making workflows by combining streaming data pipelines with scalable analytics and intuitive querying.
M5 Demand Forecasting & Inventory Replenishment
End-to-end ML pipeline built on Walmart's M5 dataset. Compares LightGBM gradient boosting against moving-average and seasonal-naive baselines, simulates reorder points with configurable safety-stock calculations, and delivers results through a three-persona Streamlit dashboard covering executive KPIs, model comparison, and planner-level replenishment recommendations.
Scalable URL Shortener
Cache-first URL shortener engineered for high read throughput. Redis handles the redirect hot path; async background workers flush click counters to PostgreSQL in batches. Real-time analytics UI supports operational monitoring and decision-making workflows. One-command Docker Compose deploy.
NYPD Arrests Pipeline
End-to-end analytics pipeline over 500K+ NYPD arrest records (2023-2024). Cleaned with Alteryx, modeled dimensionally, loaded to BigQuery for sub-second aggregations, visualized in an interactive Power BI dashboard by borough, offense type, and demographics. Transforms raw public data into structured datasets and dashboards for analyzing trends across geography and time.
EV Adoption Analysis
Visual deep-dive into U.S. electric vehicle adoption from 2010-2024. Analyzes charging infrastructure gaps, state-by-state adoption rates, and federal policy impact from 200K EVs in 2013 to over 4 million by 2024.
DIY CNC Plotter
2-axis CNC plotting machine built with Arduino UNO + GRBL firmware, 3D-printed components, and NEMA 17 stepper motors. Extended with an ESP32 IoT layer for wireless G-code transmission, browser-based control, and real-time telemetry.
Experience
- >Led end-to-end delivery of a hardware development project as project head, coordinating a cross-functional team across multiple regions and managing vendor negotiations and operations timelines from sourcing to completion.
- >Analyzed demand patterns, customer requirements, and operational constraints to support supply and distribution planning for telecom hardware across multiple product lines.
- >Led vendor performance evaluation process across hardware and service providers, consolidating lead time and delivery reliability data to support procurement planning and supply-demand alignment.
- >Built and standardized a KPI reporting framework tracking inventory turnover, demand variability, and order fulfillment across operations and procurement teams, reducing ad hoc analysis requests by 40%.
- >Assisted 140+ students across SQL and analytics coursework, helping improve understanding of data analysis, querying, and reporting concepts.
- >Built dashboards to help faculty identify trends in student performance and support improvements in course delivery.
- >Supported data-driven decision-making by helping translate analytical outputs into actionable insights for faculty.
- >Designed and maintained data pipelines to integrate ERP and operational data across inventory, procurement, and order fulfillment workflows, improving data availability for planning teams.
- >Built planning datasets and data models combining supplier, warehouse, and transactional data to support demand forecasting, inventory tracking, and supply-demand analysis across client engagements.
- >Developed reporting datasets and dashboards tracking inventory movement, supplier performance, and fulfillment metrics, enabling operations and procurement teams to make faster, data-driven decisions.
- >Reduced inventory visibility lag from 12+ hours to under 1 hour by building near real-time pipelines tracking material movement and stock availability across warehouse operations.
Blog Posts
Deep dives into the systems I build, the architecture, the decisions, and what I learned.
Every layer of the system: Kafka checkpoint gotchas that blanked the map, why Redis writes must precede Postgres, how deck.gl handles 9,000+ GPU-accelerated points, and the four production bugs I actually hit.
Read PostHow I combined market data pipelines, warehouse modeling, portfolio tooling, news aggregation, and a natural-language query layer into one end-to-end investing product.
Read PostHow LightGBM, leakage-safe feature engineering, and a safety-stock simulation combine to turn Walmart's M5 dataset into actionable replenishment recommendations, with a three-persona Streamlit dashboard at the end.
Read PostHow cache-first architecture and async click tracking combine to build a URL shortener that stays fast under heavy read load without sacrificing analytics accuracy.
Read PostProfiling, cleaning, and modeling 500K+ arrest records into an interactive Power BI dashboard that surfaces borough-level crime patterns and demographic trends.
Read PostFrom 200K EVs in 2013 to over 4 million by 2024, a state-by-state breakdown of adoption rates, charging infrastructure gaps, and the policy drivers behind the transition.
Read PostContact
I'm actively looking for supply chain roles where I can apply data analytics, demand planning, and operational insights to improve inventory visibility, procurement decisions, and overall supply chain performance.