Data Science & Machine Learning

Data Analytics & Visualization

Data Engineering & Infrastructure

Cloud & Full Stack

Development Tools & Automation

Sustainability & Environmental

🗓️ Oct 2025 – Present   |   📍 Tempe, AZ

• IoT Data Pipelines: Built validated Python & SQL pipelines for 70K+ IoT sensor records across 8 tracking stations, constructing model-ready datasets for forecasting and environmental trend analysis.
• Anomaly Detection: Developed statistical anomaly detection workflows on 14 environmental sensor parameters, improving false-alert detection by 40% vs. rule-based baselines.
• Engineering API / BI: Deployed PostgreSQL-backed access APIs (cutting retrieval latency by 35%) and built Tableau dashboards for tracking KPIs, accelerating insight generation 3x.

🗓️ Feb 2025 – Oct 2025   |   📍 Tempe, AZ

• Geospatial ELT: Architected Python ELT pipelines integrating federal geospatial datasets (CWNS 2022 + NHDPlus) over 10K+ records, reducing processing time by 60%.
• Graph Data Modeling: Implemented BFS graph traversal in ArcPy to propagate flow attributes across directed networks, replacing manual workflows and improving reproducibility by 40%.
• Predictive Analytics: Engineered features using causal inference and statistical modeling, creating ML-ready risk scoring systems consumed by 3 distinct research groups.

🗓️ Mar 2024 – Dec 2024   |   📍 India

• Behavioral Analytics: Analyzed 500K+ user activity records via SQL and Python to map engagement patterns, retention drivers, and depth of product usage.
• ML Retention Modeling: Built classification models to predict early learner churn, outperforming standard rule-based prediction baselines by 18%.
• Data Productionization: Centralized recurring metrics into indexed PostgreSQL datasets, pushing down BI query latency and data ingestion errors by 80%.

🗓️ May 2023 – Aug 2023   |   📍 India

• Campaign Optimization: Segmented multi-channel campaign data using SQL, Python, and Excel, optimizing target demographics and driving a 15% increase in Click-Through Rates (CTR).
• Workflow Automation: Scripted automated end-to-end reporting frameworks for CAC, conversion rates, and channel performance, reducing manual prep workloads by 40%.
• Stakeholder Reporting: Visualized KPI trends via interactive Tableau dashboards, empowering key stakeholders to arrive at business decisions 65% faster.

Production-grade ML system that ingests raw retail sales, trains time-series forecasting models on BigQuery ML, and delivers 30-day demand forecasts through a FastAPI backend and Streamlit BI dashboard.

Focus: Time-Series · Retail Forecasting · Big Data ML
Tech: BigQuery ML · FastAPI · Streamlit · Python

Accessibility-focused voice AI for blind/visually impaired users. Listens to voice, reasons about intent, and executes desktop/web actions (browsing, writing, coding) through natural spoken conversation.

Focus: Voice AI · Accessibility · Multi-Modal LLMs
Tech: LLMs · NLP · Desktop APIs · Speech-to-Text

A collaborative knowledge-sharing network for AI agents. Prevents wasted computation by enabling stuck, loop-bound agents to ask the collective network for help instead of failing repeatedly.

Focus: Multi-Agent Systems · Knowledge Graphs · GenAI
Tech: Python · Agentic Workflows · Distributed Computing

Full-stack Swiggy sales analytics over 197,430 Indian food delivery orders. Developed three original strategic frameworks: City Expansion Index, Menu Intelligence Matrix, and Restaurant Health Score.

Focus: Data Analytics · Business Strategy · ETL
Tech: SQL · Pandas · Tableau · Data Engineering

Deep Learning Specialization
DeepLearning.AI

Optimization for real-world AI systems