Personal & Freelance Projects
The collection of personal projects, showcasing expertise in Data Analytics, Machine Learning, Big Data and Web Development
1. UK Charity Annual Report
A UK based charity approached me with messy, unstructured donor data spread across multiple Excel files. The data included over 1 Millio rows of donor records with inconsistencies in format, missing values and non standard categories. I took end to end ownership of the data journey from collection and cleaning to dashboard delivery and helped the organization turn their raw data into a powerful interactive reporting tool.
2. Comprehensive Progress Analysis for a Student Organization
This project focuses on building an interactive data-driven dashboard for a student organization to monitor and analyse their members' progress both individually and collectively. The goal is to offer a single-click view for stakeholders to track and assess the overall growth and development of the organization's members through clear visualizations and meaningful analytics.
3. Beverage Sales Analysis by Data Visualization
This project analyzes U.S. beverage sales data to generate actionable insights into revenue, sales volume, and pricing trends using interactive dashboards in Power BI. The dashboard provides a comprehensive view of performance across brands, months, and states, enabling data-driven decision-making.
4. Coffee Shop Sales Analysis
This project involves the analysis of coffee shop sales data with the aim of providing actionable insights to improve customer experience and sales performance. The analysis was conducted using historical sales data, customer preferences, and location-based performance metrics.
5. Diamond One-Bedroom Apartment Analytics
To analyze the client's booking data and provide insights on revenue per month, while considering adjustments in pricing and missing data for certain months. The client had the following requirements, Missing Data, Increase the price by ** EUR per night for each booking, Display monthly revenue. By Using Power BI, I created an interactive dashboard (for both web and app views) to help the client make data driven decisions.
Educational Project
A comprehensive collection of Educational projects, showcasing expertise in Data Analytics, Machine Learning, Big Data and Web Development
1. Analyzing Video Game Sales Data using PySpark and Tableau
This project analyzes video game sales data using PySpark for data processing and Tableau for visualization. It covers data loading, preprocessing, exploratory data analysis (EDA), and model evaluation with techniques such as linear regression, logistic regression, and random forest classification.
2. Salary Prediction of an Adult by using Machine Learning Algorithms
This project uses machine learning algorithms to predict whether an individual's income exceeds $50,000 annually based on the "Census Income" dataset. Several classification algorithms, including Random Forest, Decision Tree, Gradient Boosting, and Logistic Regression, were evaluated.
3. Speech Recognition Automatically by Using Artificial Neural Network
This project implements an Automatic Speech Recognition (ASR) system using a combination of a 2D Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), and Connectionist Temporal Classification (CTC) loss. The model converts spoken language into text, aiming to improve accuracy in noisy or accented speech scenarios.
4. Search Engine and Document Clustering
This project implements a search engine for efficient information retrieval, along with a document clustering system for grouping similar content. The search engine uses web crawling, indexing, and ranking algorithms, while clustering algorithms like k-means and hierarchical clustering are used to organize documents.
5. Predicting Customer Churn in Telecommunication Industry Using Bayesian Network and Classification
At first we predict customer churn in the telecommunications industry using Bayesian Networks and Classification then we worked on the researched, and Implementation of the FLC, also designed the robot's trajectory and tested the controller's performance.