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Abhishek Subramani

@abhisheksubramani

Data & web developer blending machine learning, Python/SQL, and interactive dashboards to turn data into practical products.

United States

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What I'm looking for

I’m looking for a role where I can combine Python/SQL, machine learning, and web dashboards to ship data products end-to-end. I want a team that values experimentation, clean reproducible analysis, and rapid iteration.

I teach and build with a focus on practical machine learning and analytics. As a Teaching Assistant for Marketing Analytics (Machine Learning) and a Graduate Tutor for Information Systems, I supported 50+ students through lab sessions, debugging Python-based workflows, and reinforcing reproducible, structured problem-solving.

I also lead product discovery and delivery when ideas need to become testable prototypes. As a Sprint Lead (AI Product Innovation), I translated business goals into technical concepts—defining user flows, reward logic, and data signals for a gamified receipt-scanning feature—and coordinated rapid iterations within a four-week sprint window.

Most recently, I designed and shipped data-driven web experiences for real decision-making. At the U.S. Census Bureau (TOP University Sprint), I built a multi-tab Streamlit application backed by federal open data, replacing static reports with a real-time interactive platform that pulls live Census API data and includes dashboards for anomaly detection and root-cause analysis.

Experience

Work history, roles, and key accomplishments

Data & Web Application Developer

U.S. Census Bureau

Sep 2025 - Dec 2025 (3 months)

Designed and shipped a multi-tab Streamlit web application for exploring employment outcomes by field of study, gender, and geography using federal open data. Replaced static reports with a real-time, interactive platform powered by live Census API data and built dashboards to surface anomalies and support root cause analysis across distributed datasets.

Streamlit Web Application Development Federal Open Data Census API Integration Dashboards Data Exploration Anomaly Detection Root Cause Analysis Data Visualization

Teaching Assistant & Graduate Tutor

Suffolk University — Sawyer Business School

Dec 2024 - Dec 2025 (1 year)

Served as a Teaching Assistant for undergraduate Marketing Analytics courses covering machine learning concepts including regression, classification, and model evaluation for 50+ students. Also worked as a Graduate Tutor for Information Systems and Marketing Analytics courses, providing 50+ hours of one-on-one support across Python, SQL, data analysis, and applied machine learning.

Teaching Assistant Machine Learning regression Classification Model Evaluation Python SQL Feature Engineering Debugging Data Analysis Applied Machine Learning

Sprint Lead — AI Product Innovation

Fetch Rewards

Sep 2025 - Oct 2025 (1 month)

Led a cross-functional student team to translate business goals into technical product concepts for a gamified receipt-scanning feature, defining user flows, reward logic, and data signals. Owned product discovery and delivery within a four-week sprint by coordinating prototyping and testing cycles and evaluating feasibility and impact of AI-driven reward mechanisms.

Sprint Leadership Product Discovery Product delivery User Flows Signals Rapid Prototyping Test Cycle AI Driven Reward Feasibility Analysis

Product Specialist

Bajaao Music Pvt Ltd

Dec 2018 - Jul 2022 (3 years 7 months)

Improved sales conversions by 22% by analyzing customer needs and optimizing product recommendations using sales and demand trends. Ranked as a top-performing Product Specialist for 18 consecutive months based on revenue contribution and customer conversion metrics, and analyzed product-level sales data and customer inquiries to support inventory and merchandising decisions.

Conversion Optimization Product Recommendations