Data Scientist Building Value from Complex Data
I transform raw data into actionable insights using Python, SQL, and Machine Learning. My disciplined, analytical approach honed through rigorous UPSC preparation allows me to solve complex problems and drive business impact.
Featured Projects
A selection of projects that demonstrate my skills in action.
Retail Sales & Revenue Optimization
Conducted end-to-end EDA to uncover key business trends. Cleaned over 135k missing values, validated the Pareto Principle to find top revenue drivers, and mapped seasonal sales peaks to guide inventory and marketing strategy.
Customer Segmentation using RFM & K-Means
Leveraged unsupervised learning to segment a customer base for targeted marketing. Built an RFM model, managed data skewness using Log Transformation, and identified 5 distinct customer segments (e.g., Champions, At Risk) to tailor marketing strategies.
Kindle Book Recommendation System
SVD & Collaborative Filtering: Solved the Sparsity Problem and built a Matrix Factorization model SVD tuned with 100 latent factors, achieving the lowest RMSE 3.4965 to generate highly personalized book recommendations.
Kaggle: Handwritten Digit Recognizer
Designed and trained a sequential CNN with two convolutional blocks to automatically learn and extract hierarchical features (edges, corners, shapes) directly from pixel data. This model, regularized with Dropout, achieved a classification accuracy of 98.92% on the Kaggle test set to build a robust classifier for handwritten digits.
Publications & Articles
A collection of my technical writing and deep dives.
High-Accuracy Recommendation Engine
Built a high-performance recommendation engine using Singular Value Decomposition (SVD) to solve the "discovery fatigue" problem for a large book dataset.
Professional Experience
Associate - British Airways
WNS Global Services
Dec 2019 – Dec 2021
- Enhanced operational efficiency for the Workforce Management (WFM) team by performing critical data cleanup, manipulation, and transformation on large internal datasets.
Data Science Intern
The Sparks Foundation, Mentorness, Prodigy InfoTech, Cognorise InfoTech
Mar 2024 – Jun 2024
- Improved dataset accuracy by 25% through a targeted data cleansing initiative, enabling more reliable analysis.
- Developed interactive dashboards in Power BI and Tableau to present key findings to technical and non-technical stakeholders.
- Applied various Scikit-Learn models for predictive analysis tasks across multiple internship projects.
Education
Master of Science, Computer Science
(Specialization: Data Science)
Mumbai University
Graduated 2021
Bachelor of Science, Computer Science
K.M. Agrawal College
Graduated 2018
Certifications & Training
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Specialization in Data Science (ML & AI)
AlmaBetter (Ongoing)
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Introduction to Data Science
CISCO
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Data Analysis Essentials
CISCO
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Python (Basic to Advanced)
Udemy
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Python 3 Certification
Programming Hub
About Me
I'm a Data Scientist based in Mumbai, India, with a Master's in Computer Science and a passion for uncovering the stories hidden within data. My journey into this field was driven by a deep curiosity and the analytical rigor I developed while preparing for the UPSC civil services exams a background that taught me discipline, deep research, and structured problem solving.
I thrive on the end-to-end data science process, from digging into messy datasets with SQL and Python to building predictive models and visualizing results with Tableau and Power BI. I'm always eager to connect with fellow professionals and explore new challenges.
Get In Touch