Wayfair

Data Scientist

Jan 2024 - Present

Part of the Search, Marketing Tech & Recommendations (SMART) till Aug 2024 and then the Planning and Sales Analytics team till present

Designed Vertex AI–powered customer segmentation frameworks in BigQuery for Wayfair Design Services and B2B teams, uncovering high‑value cohorts that generated $10 M in incremental revenue.

Implemented multi‑touch attribution models using causal‑inference methods for sales chat and call interactions, improving revenue attribution accuracy by 15%; and establishing dashboards to monitor ongoing model health and KPI trends.

Led experimentation and incrementality measurement initiatives—running A/B tests on Gambit and synthetic‑control analyses for email and homepage recommendations—driving a 15% lift in open rates, a 12% increase in average order value.

Orchestrated DAGs and automated ETL pipelines with Python, BigQuery, Composer and Airflow to migrate on‑premise data to GCP, streamline QA processes, and ensure reliable, low‑latency feature delivery for analytics and modeling.

Developed and deployed machine learning-based customer targeting models by integrating cross-channel behavioral data to refine segmentation strategies and boosting conversion rates.

HSBC

Data Scientist

Apr 2020 - Aug 2022

Part of the Model Risk Management (MRM) team under Risk & Compliance Analytics

Led design, documentation and SR 11‑7/BCBS/AMLD/SOX validation for 80+ financial‑crime risk (FCR) detection models (rule‑based, statistical and ML), strengthening FCR model governance controls and reducing audit findings by 9% .

Performed in‑depth performance analysis—calculating KS statistic, AUC, and precision‑recall thresholds—to refine model scoring logic and increase detection sensitivity.

Engineered data preparation and feature pipelines in Python, PostgreSQL and Alteryx, embedding Collibra metadata checks to ensure data consistency and accelerate model retraining.

Built back‑testing frameworks and real‑time drift‑monitoring dashboards, cutting spurious alerts by 20% and partnering with 55 global teams to maintain a centralized model inventory.

Awarded the ”Rising Star - 2021” in Global Analytics Center (GAC) - HSBC.

Tata Consultancy Services - Engineering and Industrial Services

Business Analyst

Oct 2018 - Apr 2020

Part of the Rolls Royce Aerospace Engine Electronic Control Unit (ECU) team

Collaborated with Rolls‑Royce Aerospace stakeholders to define requirements for safety‑critical ECU software, enhancing reliability metrics; automated regression‑testing workflows with Airflow, reducing test cycles by 9%.

Developed an engine‑repair forecasting model using ARIMA in Spark, partnering with maintenance and finance teams to operationalize predictions, saving $500K annually and cutting mean time to repair by 12%.

Northeastern University, Boston, MA

Master of Science in Data Analytics Engineering

Sep 2022 - June 2024

Related Courses: Advanced Database Management, Statistics & Probability, Statistical Learning, Data Mining, Computation & Visualization for Analytics.

GPA: 3.9

B.M.S.College Of Engineering, Bengaluru, India

Bachelor of Electronics and Communication Engineering

Aug 2014 - Jun 2018

Related Courses: Advanced Engineering Mathematics, Probability and Random Process, Linear Algebra.

GPA: 3.8