Things I've built & explored
Projects spanning data analytics and automation to dashboards and reporting.
ZS Sender: WhatsApp Web Automation
A Chrome extension that sends personalized WhatsApp messages from WhatsApp Web. CSV import, groups, delays and batching, all running locally with no servers.
Learn moreMachine Learning for Retail: Product Packaging
Developed a machine learning model using R to optimize product packaging decisions for retail operations, applying clustering and classification techniques.
Building a Recommender System with Python
Implemented a collaborative filtering recommender system from scratch using Python and NumPy, exploring user-item matrix factorization approaches.
Recommender System with Similarity Functions
Extended the recommender system project with cosine and Pearson similarity functions, comparing performance across different similarity metrics.
Loan Classification for MSME Sector
Built a classification model to predict loan risk for micro, small, and medium enterprises, supporting financial inclusion decision-making.
Data Scientist Assessment using R
Completed a comprehensive data science assessment covering statistical analysis, machine learning model selection, and interpretation in R.
Student Cohort Retention Dashboard
Built an interactive Tableau dashboard analyzing weekly engagement retention across 22 course cohorts using the OULAD public dataset. Cohort heatmap, retention curves, and drop-off analysis to pinpoint exactly when students disengage.
Data Analyst for Finance: Branch Performance
Analyzed multi-branch financial data to surface performance trends, identify underperforming locations, and generate executive-ready reports.
Finance: Investor Investment Process
Mapped and analyzed the investor investment pipeline, creating dashboards to track conversion rates and flag bottlenecks in the process.
Retail: Sales Performance Report
Built a comprehensive sales performance report for a retail client, visualizing SKU-level trends, seasonal patterns, and revenue attribution.
B2B Retail: Customer Analytics Report
Produced a customer segmentation and behavior analytics report for B2B retail, identifying high-value accounts and churn risk signals.
Sheet Ops Toolkit
Google Apps Script utilities that add a custom menu to any Sheet: pull Drive file links, parse JSON into rows, resolve file names from URLs, and audit or bulk-update Calendar events. Built while managing 7+ parallel class programs and 700+ students.
View on GitHubSimple ETL with Pandas
Designed and implemented a lightweight ETL pipeline using Pandas to extract, clean, and load structured datasets, reducing processing time significantly.
Fundamental SQL: Group By & Having
Solved complex analytical queries using advanced SQL grouping, aggregation, and filtering patterns applicable to real-world business reporting.
Data Analysis for E-Commerce Challenge
Won a competitive data analysis challenge focused on e-commerce metrics, presenting insights on customer behavior and conversion optimization.
Data Science Challenge with Python
Completed an end-to-end data science challenge using Python, covering data cleaning, modeling, and results presentation under time constraints.
Data Engineer Challenge with Python
Built a data engineering pipeline in a competitive challenge setting, demonstrating skills in data ingestion, transformation, and output validation.
Data Engineer Challenge with SQL
Solved a series of complex SQL engineering challenges including window functions, CTEs, and performance optimization for large datasets.