Resume

Data Scientist with expertise in AI, machine learning, and predictive analytics, delivering scalable solutions to drive business growth and efficiency. Proven track record of improving decision-making and reducing costs for Fortune 500 companies.

Data Scientist

Lyneports

June 2025 - Ocotober 2025, Chennai

Designed an AI-powered geospatial compliance system integrating LLMs, RAG, and international aviation regulations (FAA, DGCA, GCAA, ICAO etc).
Automated geometry generation (TLOF, FATO, SIL, safety areas) based on user input and regional standards.
Built a Supabase-backed regulatory database with automated checks against compliance rules.
Deployed the solution on Azure, ensuring scalability and real-time processing.
Streamlined aviation compliance workflows by delivering structured, automated outputs for infrastructure planning.

Data Scientist

Enfocus

January 2024 - May 2024, Belgium

Architected and implemented a real-time customer segmentation pipeline using PySpark and Scikit-learn, reducing data processing time by 40% and enhancing decision-making speed.
Developed a robust customer segmentation model with Logistic Regression and Gradient Boost Trees, achieving a Test AUC of 0.75 across 136 million user logs.
Engineered 450 features and automated segmentation for 7,210 users, improving scalability by 30% and reducing manual effort.
Applied SHAP analysis to enhance model interpretability, leading to a 15% increase in marketing ROI.
Delivered actionable insights that reduced marketing costs by 21% and improved lead conversions by 18%.

Specialist

Ford Global Technology & Business Center

March 2019 - April 2023, Chennai, India

Developed Fault Detection System using Random Forest, XGBoost, reduce machine downtime by 18% and save $500K annually.
Designed Cuscor, a workflow automation platform, decreasing operation delays by 35% and accelerating request resolution.

Technical Lead

The Bank of New York Mellon

February 2014 - March 2019, Chennai, India

Directed the development of a secure intranet financial application using SQL Server, ensuring business continuity for over 1,000 units.
Improved data recovery efficiency by 25% through the implementation of robust data security protocols.
Led cross-functional teams to deliver projects on time and within budget, ensuring compliance with regulatory requirements.

Software Engineer

MitrahSoft Software Solutions

January 2013 - February 2014, Kovilpatti, India

Developed a web application for managing 10,000+ assets, boosting productivity by 30%.
Leveraged agile methodologies and effective client management to enhance operational efficiency.

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Projects

Data Science & Analytics Portfolio

15+ production-grade projects demonstrating full-stack data mastery - from ETL pipelines with PySpark to deep learning models with TensorFlow. Key achievements include 21% cost reduction in marketing operations and 91% AUC in NLP classification systems.