Portfolio
Python Projects (Analysis & Machine Learning)
A collection of machine learning, data analysis, and automation projects built in Python.
Customer Segmentation Using Clustering & PCA
Grouped customers using unsupervised learning to help guide marketing and revenue optimization strategies.
Focus: Unsupervised learning + RFM Analysis
Forex Analysis & Prediction Project
Analyzed foreign exchange transaction data from a fintech company to
identify transaction trends, partner fee patterns, and predicted gross profit using regression models.
Focus: Transaction pattern analysis + regression
Good Reads Book Ratings Prediction
Explored Goodreads data to analyze book rating patterns and built machine learning models to predict book ratings. Includes data cleaning, EDA, feature engineering, and model evaluation.
Focus: Model building + EDA
Amazon Web Scrapping
Automated data collection for e-commerce insights — extracted product names, prices, ratings,
and availability from Amazon to analyze trends in pricing and consumer reviews.
Focus: Scraped and structured Amazon product data for price and review trend analysis.
SQL Projects (Exploration & Cleaning)
Projects showcasing data cleaning, transformation, and insight extraction using SQL.
Data Cleaning in SQL
Cleaned and transformed a Nashville housing dataset using SQL Server. I used CTEs, string functions, CASE statements, and window functions to prepare the dataset for analysis and visualization.
Focus: Business insight discovery using queries
Data Exploration in SQL
Explored global COVID-19 trends using SQL Server: infection rates, death ratios, and vaccination tracking. Used joins, CTEs, temp tables, and window functions to gain insight from real-world data.
Focus: Business insight discovery using queries
Data Exploration 02_ in SQL
Analyzed global carbon emissions using SQL queries to uncover regional and sectoral trends. Created insights into top CO₂ contributors by country, industry, and time period. Results were visualized in Power BI for stakeholder-ready reporting..
Focus: ESG insights through sector and regional emissions breakdown
Dashboard & Data Visualization Projects
Dashboards created using Power BI, Tableau, and Looker Studio to turn insights into visuals.
Power BI
Analyzed global carbon emissions using SQL queries to uncover regional and sectoral trends. Created insights into top CO₂ contributors by country, industry, and time period. Results were visualized in Power BI for stakeholder-ready reporting.
Focus: ESG insights through sector and regional emissions breakdown
Tableau
A data dashboard exploring gender representation in leadership roles across African countries. This project visualizes publicly available data to reveal disparities, progress, and policy impact over time.
Focus: Data storytelling · Public sector insights
Looker Studio
An interactive report tracking sustainable energy adoption across different regions. Visualizations include total solar and wind installations, % of clean energy usage by region, and year-on-year growth trends.
Focus: Sustainability analytics · Clean energy trends · Google Sheets → Looker pipeline
Web & App Projects
Appsheet & Streamlit
📱 AppSheet – Seed Distribution Tracker
A no-code mobile app designed for small-scale agricultural NGOs to manage and track seed distributions to farmers in rural areas. The app includes features like farmer profiles, delivery tracking, and SMS confirmation using Google Sheets as the backend.
Focus: No-code development · Agricultural impact · Real-time data collection
🌍 Streamlit – Urban Climate Resilience Scorecard
An interactive Streamlit web app that evaluates climate resilience across sectors in a city — housing, transport, water, emergency services — using a custom scoring framework and radar charts for visualization.
Focus: Climate tech · Urban resilience · Streamlit UI & metrics scoring