Welcome to my GitHub! I'm a passionate Data Scientist with a Master's in Business Analytics and over 3 years of experience in the field. My expertise spans a range of tools, technologies, and domains. I enjoy solving complex business problems using data-driven insights and building scalable machine learning models.
- Languages: Python, SQL
- Tools: Microsoft Excel, Microsoft Power BI
- Data Analysis & Visualization: Pandas, Numpy, Matplotlib, Seaborn, Plotly
- Machine Learning: Scikit-Learn, TensorFlow, Keras, Hugging Face
- Web Development: FastAPI, Gradio, Docker
- Database: MySQL
- Version Control: GitHub
Predictive modeling of Walmart's sales using historical data. I performed:
- Data preprocessing
- Exploratory Data Analysis (EDA)
- Feature engineering (extracted Year, Month, Week)
- Outlier removal
- Model building
Built a machine learning model to predict house prices using regression. Deployed it using Gradio on Hugging Face, with an intuitive UI for easy predictions.
Developed an interactive dashboard using Power BI to visualize social media campaign performance across various dimensions such as demographics, campaign goals, and engagement metrics. The dataset consisted of over 30,000 rows with detailed social media analytics.
Explored Netflix's dataset to find insights on global content distribution, using Python for cleaning and Exploratory Data Analysis (EDA). This project addressed missing data and used visualizations for key insights.
I have worked across several industries, including telecommunications and HR analytics. My work includes:
- Conducting 360-degree feedback processes and leading data visualization efforts for HR.
- Developing automation tools using Python to scrape and process data from websites, saving time and improving efficiency.
- Crafting data dashboards using Power BI to provide stakeholders with meaningful insights.
When I'm not coding, I enjoy traveling.
Feel free to explore my repositories and connect with me:
Let’s collaborate and solve some interesting problems together!