😜 I'm a B-TECH IT third-year student with a passion for Prompt Engineering, Data Science, AI, and Machine Learning.
🔭 Currently working on exciting data science projects, including sentiment analysis, stock price prediction, heart disease prediction, and more.
🌱 Currently learning: Data science, machine learning, cloud computing, AI, and enhancing my DSA skills.
💬 Ask me about:
- Prompt Engineering
- Machine learning
- Data science projects
📫 Reach out: LinkedIn
I’m deeply passionate about Machine Learning and AI. I love solving real-world problems with data and algorithms. Currently, I’m exploring natural language processing (NLP) and time-series forecasting to work on impactful projects.
In my free time, I’m learning more about cloud computing, contributing to open-source, and taking part in hackathons. When I’m not coding, you’ll find me either learning about new technologies or building cool side projects.
Developed a stock prediction model using Linear Regression and time-series analysis techniques to forecast stock prices.
Developed a resume screening system using LSTM neural networks, Python, NLTK, and TensorFlow to analyze and categorize resumes.
Developed a machine learning model to detect fraudulent credit card transactions using Python, Scikit-learn, and Pandas.
Implemented predictive models to identify customers likely to churn, utilizing Python, Scikit-learn, and Pandas.
Built an email spam classifier with Python, NLTK, and Scikit-learn to achieve high accuracy in identifying spam emails.
Conducted market basket analysis to uncover patterns and associations between products, using Python, Pandas, and the Apriori algorithm.
Built a predictive model to forecast heart failure using Random Forest with a 90% accuracy.
8. YouTube Bot
Created a Telegram bot to summarize YouTube videos using Natural Language Processing (NLP) techniques.
- Languages: Python, JavaScript, SQL
- Frameworks and Libraries: TensorFlow, Scikit-learn, Pandas, NLTK
- Cloud: AWS, Google Cloud
- Tools: Git, Docker, Jupyter Notebook, VS Code
- Completed AWS Cloud Practitioner Essentials certification.
- Top 10% in Kaggle Titanic competition.
- Deep Learning
- Cloud Computing (AWS, Google Cloud)
- Contributed to GSSoC EXT 24 (Summer of Code extension)
- Maintained several small libraries and projects on GitHub.