Tanuja Nair
@tanujanair
Data scientist skilled in building scalable ML pipelines, predictive analytics, and business-impacting dashboards.
What I'm looking for
I am a Data Science student at IIT Madras with hands-on experience building and deploying scalable machine learning systems in industry.
At Nestlé I developed an automated fraud detection pipeline across 900,000+ outlets and created a Cost to Serve Power BI dashboard whose optimizations are being implemented Pan-India.
At Ford I built an end-to-end ML model and data pipeline to support early identification of potential recall events, and at Learn With Leaders I automated data preprocessing and backend components that saved substantial manual effort.
I combine strong Python and SQL skills with Azure, CI/CD for ML, and MLOps tools to deliver production-ready solutions that drive cost optimization and operational improvements.
Experience
Work history, roles, and key accomplishments
Built an automated fraud-detection data pipeline for 900,000+ outlets and developed a Cost-to-Serve Power BI dashboard that identified pan-India granular cost optimizations; also created a regression model to optimize promotion discount strategies.
Performed statistical analyses to inform sales channel strategy and built an end-to-end ML pipeline to analyze US product data for early identification of potential recall events, including data quality checks.
Python Development Intern
Learn With Leaders
Sep 2021 - Feb 2022 (5 months)
Developed a standardized Python data-preprocessing module that reduced manual cleaning time by ~170 minutes per project and engineered backend components for a user assessment tool serving 1,000+ users.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Madras
Bachelor of Science, Data Science and Applications
2021 - 2025
Activities and societies: Capstone project (Best Capstone, top 1%); machine learning project (top 2%); practical NLP examination (top 5%)
Bachelor of Science in Data Science and Applications with notable top-ranked project and exam achievements in business data management, machine learning, and NLP.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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