Data science and ML enthusiast with strong foundations in time series analysis, natural language processing, and algorithmic trading. Currently pursuing B.Tech in AI/ML, I'm passionate about building intelligent systems that solve real-world problems through predictive analytics, sentiment analysis, and financial modeling.
- 🔭 Currently focusing on: Time series forecasting, NLP applications, and algorithmic trading strategies
- 🌱 Exploring: Deep Learning, Computer Vision, and Cloud-based ML deployment
- 💡 Interests: Financial modeling, sentiment analysis, and predictive analytics
- 📍 Location: Rajamahendravaram, Andhra Pradesh
Engineered a sentiment analysis pipeline to classify customer reviews, employing NLTK for text preprocessing and TF-IDF for feature extraction. Achieved 88% accuracy on a dataset of 10,000+ reviews.
Developed a time-series forecasting model using an LSTM neural network with TensorFlow to predict the next day's closing price of NIFTY 50 stocks. Utilized 5 years of historical data for training and backtesting.
Implemented the Black-Scholes-Merton model to calculate the theoretical price of European call and put options. Developed a tool to compute and visualize "the Greeks" for option risk analysis.
🎯 B.Tech in Artificial Intelligence & Machine Learning
Aditya College of Engineering and Technology
Expected Graduation: 2026
📊 Data Analytics Internship
SmartBridge (May 2025 - Jul 2025)
- • Mastered data visualization and dashboard creation with Tableau
- • Analyzed complex datasets to identify key trends and generate actionable insights
- • Designed 5+ interactive Tableau dashboards
🤖 AIML Trainee Internship
EduNet Foundation (May 2024 - Jun 2024)
- • Completed intensive 6-week training in ML model development
- • Applied algorithms on diverse datasets using IBM SkillsBuild platform
- • Achieved sentiment classification on 10,000+ product reviews dataset
- 🔬 Research: Advanced time series forecasting techniques for financial markets
- 🤖 Development: NLP models for sentiment analysis and text classification
- 📈 Trading: Algorithmic trading strategies using machine learning
- 🏗️ Architecture: Building scalable ML pipelines and model deployment
- 📚 Learning: Deep Learning, Computer Vision, and Cloud Computing
💡 "Data is the new oil, but machine learning is the refinery that transforms it into actionable insights."
⭐ Feel free to explore my repositories and connect for collaboration opportunities! ⭐
Made with ❤️ by Marepalli Santhosh