- 🌱 I’m currently working as a Freelance Data Engineer at Epython Lab
- 💼 I’m passionate about analyzing datasets to gain insights and suggest investment strategies.
- 🚀 I have experience in Python, SQL, Web Development, and Teaching.
- 📚 I'm constantly learning and expanding my knowledge in data science and machine learning.
-
Languages:
-
Tools:
-
IDEs & Editors:
- Advanced Machine Learning using TensorFlow and Scikit-learn
- Data Visualization with tools like Power BI and Tableau
- Generative AI
- 🎮 I enjoy coding and teaching.
✈️ Love traveling and exploring new cultures.
Description: This project mainly focused on predictive analytics for business. In this project repo, there are 6 different predictive projects you can explore each of them.
Technologies Used: Python, Tableau, Alteryx.
Description: The project is designed to enhance stock market predictions by combining quantitative and qualitative data.
Technologies Used: Python, Matplotlib, NLP, etc.
Key Features:
- Sentiment Analysis
- Correlation Analysis
- Financial Quantitative Analysis
Description: focused on performing a comprehensive analysis of user behavior, engagement, experience, and satisfaction in a telecom dataset.
Technologies Used: Python, Matplotlib, sci-kit-learn, etc.
Key Features:
- User Overview Analysis: Analyze handset usage, handset manufacturers, and application usage.
- User Engagement Analysis: Track user engagement across different applications and cluster users based on engagement metrics.
- Experience Analytics: Assess user experience based on network parameters and device characteristics.
- Satisfaction Analysis: Calculate and predict user satisfaction scores based on engagement and experience.
Feel free to reach out for collaboration or just a friendly chat!