I build data-driven and machine learning solutions using Python, SQL, and modern AI technologies.
My interests and hands-on work include Machine Learning, Data Analysis, NLP, LLM/RAG applications, and ML model deployment.
Programming:
Python, SQL
Machine Learning & AI:
Machine Learning, Deep Learning, NLP, LLMs, RAG, Predictive Modeling
Libraries & Frameworks:
NumPy, Pandas, Scikit-learn, TensorFlow, FastAPI
Data Analysis & Visualization:
Power BI, Matplotlib, Seaborn, Plotly
AI Techniques:
LSTM, Retrieval-Augmented Generation (RAG), Prompt Engineering
Tools & Practices:
Git, GitHub, Agile, ML Pipelines
Machine learning project focused on identifying fraudulent transactions using data preprocessing, feature engineering, model training, and evaluation.
Predictive machine learning project for analyzing historical sales data and generating sales predictions.
Machine learning project focused on rainfall prediction using historical weather data and predictive modeling techniques.
Data analysis project focused on understanding customer behavior, segmentation, and purchasing patterns.
- Building machine learning workflows using Python, SQL, and Scikit-learn
- Working with data preprocessing, feature engineering, and model evaluation
- Practicing Git-based development and Agile workflows
- Exploring ML model deployment and API-based solutions
- Built predictive machine learning models using Python, Pandas, NumPy, and Scikit-learn
- Performed data cleaning, preprocessing, and exploratory data analysis
- Created data visualizations and dashboards
- Worked on business-oriented data science use cases
- Strengthening my Machine Learning fundamentals
- Building practical AI/ML projects
- Exploring LLM and RAG applications
- Learning production-oriented ML deployment with FastAPI
- Improving my understanding of SQL and data analytics
📧 Email: keswar8585@gmail.com
💼 LinkedIn: Eswar Krishnavarapu
⭐ Feel free to explore my repositories and projects.