Projects
A list of my data science projects fully open sourced on GitHub are listed below
Marketing Datamart with R and Shiny
In this project, I skillfully cleaned data and built an interactive Marketing Datamart using R. Discover the power of data visualization with my Shiny dashboard, where complex data becomes clear and actionable insights.
Tools Used :
-
R Script and Markdown
-
R Shiny
Transforming Marketing Data
Predicting Success Rate using Spotify Song Lyrics
This project showcases my ability to harness Natural Language Processing (NLP) techniques to predict a song's success from its lyrics. Leveraging a rich dataset combining music attributes like danceability and energy with lyrics from Genius, I delve into the intriguing world of what makes a song resonate with its audience.
Tools Used :
-
Jupyter Notebook
-
StreamLit
-
Spacy, NLTK, pyLDAvis Packages
-
Matplotlib
Predicting Hit Songs with Lyrics Analysis
Ingredient Recommendation to users based on past recipe reviews
In this innovative project, I developed a recommender system that suggests ingredients to users based on their past recipe reviews. It goes a step further by recommending healthier alternatives, considering nutritional values, making it a unique blend of culinary preference and health consciousness.
Tools Used :
-
Jupyter Notebook
-
Matplotlib
Smart Ingredient Recommender
Vehicles In Accident Image Classification
This project involved a deep dive into vehicle accident image classification, employing a range of Neural Network Architectures like MLP, CNN, RNN, and Transfer Learning. The focus was on accurately analyzing a comprehensive Vehicles In Accidents Image dataset to enhance understanding and predictive capabilities in this vital area.
Tools Used :
-
Jupyter Notebook
-
Keras TensorFlow Package
Advanced Vehicle Accident Analysis
NYC Flight Delay Analysis Using Tableau
This project highlights my expertise in Tableau, where I created a user-friendly dashboard analyzing NYC Airlines data. Focusing on various aspects of flight delays, the dashboard presents complex data sets in an accessible format, with the data sourced and imported from SQL.
Tools Used :
-
SQLite Studio
-
Tableau
NYC Flight Delay Insights
Consumer Credit Insights Dashboard Using Tableau
In this project, I created a powerful dashboard tool for managing consumer credit activities. Designed for credit agents, this tool provides rapid and simple analyses of partner performance and borrower profiles. It features an intuitive design and leverages data storytelling principles to present trends and key performance indicators effectively. By integrating and visualizing complex credit data, the dashboard aids in monitoring and directing consumer credit sales, enhancing decision-making for business agents at Cofidis.
Tools Used :
-
Excel
-
Python
-
Tableau
Empowering Financial Decisions
Predictive Modeling for DSC Charity Fundraising Campaign
In this project, I delved into two decades of donor data to build a predictive model identifying the best candidates likely to contribute €30 in an upcoming DSC Charity Fundraising Campaign. This involved sophisticated analysis and modeling techniques to pinpoint potential donors, maximizing both campaign efficiency and impact.
Tools Used :
-
Jupyter Notebook
Predictive Modeling for Charity Success
T20 World Cup 2022 Analysis with Python
In this exciting project, I analyzed the T20 World Cup 2022 data using Python, bringing cricket statistics to life through vivid visualizations created with Plotly. This endeavor not only showcased the power of data analysis in sports but also demonstrated my ability to transform complex datasets into engaging and informative visual stories.
Tools Used :
-
Jupyter Notebook
-
Plotly
Cricket Analytics Brought to Life
Wine Data Analysis Dashboard using Excel
This project involved crafting a data-driven strategy for a restaurant's expansion to include a bar. Utilizing Excel, I analyzed various wine varieties, prices, and sommelier ratings, culminating in a comprehensive dashboard. This tool aids in informed procurement decisions, ensuring a diverse and appealing wine selection for the new bar.
Tools Used :
-
Excel Pivot Table / Formulas
Optimizing Wine Selections with Excel
Project Under Progress : Cuisine Classifier: Indian vs. Mexican
Embark on a gastronomic journey with my machine learning model, 'Cuisine Classifier,' designed to distinguish between Indian and Mexican cuisines through image analysis. This project harnesses the power of convolutional neural networks (CNNs) to identify unique visual patterns, providing culinary enthusiasts, chefs, and bloggers an innovative tool to explore and understand these diverse food cultures. The final product is an interactive Streamlit app, where users can upload images and receive instant cuisine classification, offering an engaging and educational experience in the world of Indian and Mexican culinary delights.
