Certified Data Science & Analytics Professional | Machine Learning Enthusiast
Welcome to my GitHub profile!
I am a certified Data Science and Analytics professional with a passion for building data-driven solutions.
Here, you'll find a collection of my projects where I apply my expertise in Python, SQL, Machine Learning, Deep Learning, and data visualization tools like Power BI and Tableau.
1. Co2 Emissions Through Time A Regional and Economic Perspective | EDA
- Description: EDA of global CO₂ emissions per capita (1990–2019) for 267 countries. Analyzes trends, regional and income group disparities, and highlights how a few nations emit far above the global median, revealing deep inequalities in per-person carbon footprints.
- Tech Stack: Python, Numpy, Pandas, Matplotlib, Seaborn, Exploratory Data Analysis
- Key Skills: Exploratory Data Analysis, Data Analysis, Data Cleaning, Data Transformation, Insights Generation
2. IMDB Top 1000 Movie Database Analysis | SQL
- Description: Analyzed the IMDB Top 1000 Movies dataset to identify key factors influencing movie success, including ratings, revenue, genres, directors, and actors. Provided actionable insights to help filmmakers and investors make data-driven decisions.
- Tech Stack: SQL, MySQL
- Key Skills: Data Analysis, SQL Queries, Data Cleaning, Data Transformation, Insights Generation
3. Airline Passenger Satisfaction Analysis | Power BI
- Description: Analyzed Airline passenger satisfaction data to identify key factors influencing satisfaction and provide actionable insights for improving services.
- Tech Stack: Python, Power BI
- Key Skills: Data Analysis, Data Visualization, Insights Generation
4. Airline Passenger Satisfaction Analysis. | Tableau
- Description: Analyzed airline passenger satisfaction reviews to identify key factors influencing satisfaction and provide actionable insights for service improvement.
- Tech Stack: Python, Tableau
- Key Skills: Data Analysis, Data Visualization, Insights Generation.
- Description: Created a logistic regression model to predict the outcome of IPL cricket matches using features like runs, wickets, and balls left.
- Tech Stack: Python, Scikit-learn, Gradio
- Key Skills: Logistic Regression, Predictive Analytics.
6. Vista Mart Sales Dashboard | Power BI
- Description: This project contains a Power BI dashboard for analyzing sales data from a Vista Mart Sales Store. The dashboard provides a comprehensive view of key sales metrics, regional performance, and sales trends over time, allowing users to gain actionable insights into the store's sales performance.
- Tech Stack: Powe BI
- Key Skills: Data Analysis, Data Visualization, Insights Generation.
7. Sales Report Analysis Dashboard. | Excel
- Description: Description: This project builds a Sales Report Analysis Dashboard to visualize sales data across multiple channels. It highlights key insights on sales trends, customer demographics, and order distribution, enabling data-driven business decision
- Tech Stack: Excel
- Key Skills: Data Analysis, Data Visualization, Insights Generation.
8. Numerology Insight Calculator | Python
- Description: Developed an interactive application that calculates Destiny and Base numbers based on users' birth dates, providing personalized insights into personality traits and life paths through numerological principles.
- Tech Stack: Python, Gradio
- Key Skills: Data Analysis, User Interface Design, Numerology, Interactive Applications
- Programming Languages: Python, SQL
- Data Science Libraries: Pandas, NumPy, Scikit-learn, TensorFlow, Keras
- Machine Learning: Classification, Regression, Clustering
- Deep Learning: ANN, CNN, RNN, LSTM
- Visualization: Tableau, Power BI, Matplotlib, Seaborn
- Deployment: Gradio
I am continuously expanding my knowledge in Deep Learning, Natural Language Processing (NLP), and Computer Vision.