A showcase of recent works
Retail Sales Trends
Built an Azure Synapse pipeline that spotted sales trends faster than customers spotting a clearance tag
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ANN Classification for Churn Analysis
Built a churn-predicting neural net with Keras and TensorFlow — because losing customers hurts more than a dropped Wi-Fi signal
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Global Renewable Energy and Indicators
Built a global renewable energy dashboard so insightful, that the Globe might want to Borrow
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IMDb Sentiment Analysis
Let a neural network binge-read IMDb reviews to learn human emotions — Used TensorFlow and NLP to teach a neural net what feelings look like.
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Fake Job Postings
Because some job posts are too good to be true — I trained a model to call their bluff.
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Customer Churn Analysis Prediction
Created dashboards and ML models that spot churn faster than customers can say 'unsubscribe'.
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Us vs Boston Real Estate Trends
Dug into real estate data to find out if living in Boston is expensive — spoiler: yes, and we have the plots to prove it
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Disease Prediction Using Chest X-Rays
Fed medical data to a model until it could predict diseases faster than your aunt with WhatsApp forwards.
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HR Analytics Strategy
Cleaned and modeled workforce data to help HR answer the age-old question: why is everyone quitting?
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Store Analysis
Store Data Analysis to identify trends, optimize inventory, and improve sales strategies, supporting better decision-making for retail performance.
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Hungry Foods
Built a data pipeline that digested orders from SQL to MongoDB — the food wasn’t fast, but the queries were
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Electric Vehicle Data Insights
Drove through EV registration data using Pandas and Seaborn — no emissions, just insights
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How I tech traversed my way here
Master of Science in Data Analytics
Northeastern University
- Discover opportunities to improve systems, processes, and enterprises through Data Analytics
- Relevant Coursework:Computation and Visualization for Analytics, Data Mining in Engineering,Foundations for Data Analytics Engineering, Data Management for Analytics, StoryTelling with Data, Structured Data Analytics
Data Engineer
HP Inc.
- Orchestrated an NLP-powered XGBoost model in Python to classify 100K+ support tickets via scalable TensorFlow architecture, boosting routing accuracy by 30% and saving 25 manual hours/week
- Designed modular ETL pipelines using AWS SageMaker and Snowflake to unify cross-platform data, enabling real-time predictions and cutting resolution time by 25%
- Built automated KPI reporting via AWS Redshift, replacing static templates and reducing reporting latency by 40% while improving visibility across teams
- Analyzed support logs in Databricks with Scikit-learn to detect failure patterns, extract key features, and uncover 3 vulnerabilities driving warranty costs
Data Scientist - Machine Learning, OpenCV based
Basal Analytics
- Forecasted COVID-19 PPE demand for 10+ hospitals using ML models in Python, reducing stockouts by 25%
- Segmented public health data via K-Means clustering and EDA pipelines, improving resource planning accuracy by 10%
- Built Tableau dashboards sourced from MySQL to support rapid pandemic response, cutting insight generation time by 15%
B.Tech in Electronics and communication
Acharya Institute of Technology
- Applied core principles of computer science and analytics to solve real-world problems using data-driven methods
- Relevant Coursework: Algorithms and Data Structures, Probability and Linear Algebra, Statistics for Engineers, Data Science, Image Processing