I am an MCA candidate at DAVV, driven by a strong passion for building intelligent systems that create meaningful impact. My focus lies in mastering advanced Python concepts—like asynchronous programming, metaprogramming, and performance optimization using Cython and NumPy—to develop efficient and high-performance applications. In parallel, I’m deeply invested in Machine Learning, where I’ve delved into ensemble learning algorithms, NLP pipelines, and cutting-edge neural architectures like transformers. My ultimate goal is to become an AI Scientist and contribute to pushing the boundaries of artificial intelligence research and applications..
Aspiring Software Engineer and an MCA candidate at DAVV, I’m driven to harness advanced Python programming and Machine Learning techniques to develop innovative, high-impact solutions. My experience spans complex Python topics—including asynchronous programming, metaprogramming, and optimization—and extends to cutting-edge ML areas like ensemble learning, NLP, and transformer-based models. My ultimate aim is to excel as an AI Scientist, applying my skills to solve real-world challenges and contribute to the AI community.
Below are the sample Data Analytics projects on Python, Power BI, Streamlit & ML.
Analyzed customer data using advanced machine learning techniques to predict churn and uncover key retention strategies for business growth.
Predicted loan defaults using ML models to identify high-risk borrowers and support smarter lending decisions.
Below are the details to reach out to me!
Indore, India