Monte Carlo Stock Price Forecasting Tool

Built a comprehensive Monte Carlo simulation application for stock price forecasting and risk analysis using advanced quantitative finance methods(Monte carlo methd and Geometric Brownian Motion as the underlying model) using Python and Streamlit

Customer Churn Prediction

a customer churn analysis project using logistic regression and LASSO regression. The project involves data preprocessing, feature selection, model training, evaluation

iFood Marketing Analytics

This project focuses on analyzing customer data and developing a marketing strategy based on the findings. We use techniques such as data preprocessing, exploratory data analysis (EDA), machine learning modeling, and interpretation of results to derive actionable insights for marketing campaigns.

Gen Z & Millennials’ Journey to Eco-Friendly Engagement Dashboard

This Tableau dashboard provides a data-driven exploration of the attitudes, challenges, and motivations of Gen Z and Millennials toward sustainable living. It visualizes key insights into their willingness to adopt eco-friendly practices, the barriers they face, and the solutions for tackling them.

Forecasting Airbnb Stock Prices

This project aims to forecast Airbnb stock prices using historical data spanning from 2010 to 2024. The dataset contains valuable information such as opening price, closing price, high, low, and volume traded for each trading day.

Employee Performance & Satisfaction Dashboard

The goal of this project is to analyze employee performance metrics and HR data to identify key factors affecting productivity, engagement, and retention. This case study mimics a real-world business scenario where HR departments seek to improve decision-making using data-driven insights.

Optimal Pricing Strategy Analysis

This project analyzes historical sales data to estimate price elasticity of demand for different product categories and recommends optimal pricing strategies to maximize revenue. The work combines economic theory with data science techniques and presents results through Python-based modeling

Bike Sharing Demand Prediction

Analyzed how weather would affect bike sharing demand in urban areas by developing a predictive model to forecast bike demand under varying weather conditions by leveraging historical weather and bike rental records from multiple cities.

King County House Sales Visualization

Interactive tableau dashboard exploring house sales data in King County, Washington state, USA using a calendar widget as main filter and multiple visuals including a line chart, histograms, map and a heat map.

Bike Sales Dashboard

Cleaned a bike sales dataset and then created a pivot table for interactive viewing. Finally created an informative dashboard to glean insights from the dataset.

MintClassics Database Analysis

Conducted an in-depth examination of the MintClassics database to optimize warehouse operations and inventory management by leveraging SQL queries and database management tools