About

        Me!

Hello, I’m Ananta Verma, a data scientist with a passion for predictive analytics, data wrangling, and continuous learning in cutting-edge technologies. While I have some practical experience in large language models (LLMs) and retrieval-augmented generation (RAG) systems, I’m currently deepening my knowledge in these areas. I’m also exploring big data tools like Hadoop and Spark to enhance my capabilities in managing and analyzing large-scale datasets.

Currently pursuing a Master’s degree in Data Science at the University of the Pacific, I specialize in predictive modeling and data processing. I’m always excited to apply my growing expertise to real-world problems, and my academic journey has focused on using data science techniques to drive impactful solutions.
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Key Projects:
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‍Customer Churn Data Analysis: This project focuses on predicting customer churn using machine learning models, including Random Forest and XGBoost.
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Veterans Affairs Benefits Portal: Developed a web-based system to assist veterans in navigating and claiming disability benefits.

Technical Skills:
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‍Languages: Python, R, SQL
‍Tools & Frameworks: TensorFlow, Scikit-Learn, Pandas, Matplotlib, Numpy, FastAPI
‍Concepts: Machine Learning, Natural Language Processing, Neural Networks, Data Mining, Predictive Analytics, LLMs, RAG

Educational Background:
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‍Master of Science in Data Science, University of the Pacific
‍Bachelor of Technology in Mechanical Engineering, Symbiosis Institute of Technology