Skills: C, Matplotlib, MySQL, NumPy, Power BI, Python3, scikit-learn, TensorFlow
Previously worked at: Fortune 500
Assessment Score: 55
Educational Background
Pursuing a Master’s in Data Science from the Defence Institute of Advanced Technology, Pune (2023-2024), with a Bachelor’s in Engineering (B.Tech) in Electronics from Gaya College of Engineering (2016-2020).
Professional Experience
As a Research Assistant in Data Science & AI at the Indian Institute of Tropical Meteorology, contributed to the development of AI-driven models for cyclone forecasting, enhancing prediction accuracy through GPU acceleration, seasonal pattern analysis, and the application of data cleaning and visualization techniques.
Technical Skills
Proficient in programming languages such as Python, SQL, C, and C++, with expertise in machine learning libraries (TensorFlow, Keras, Scikit-learn) and tools like Power BI, Azure, AWS EC2, and FactAPl. Experienced in deep learning, time-series forecasting, and computer vision.
Key Projects
Completed a master’s thesis on deep learning for forecasting mixed layer depth and sea surface temperature in the Indian Ocean using ConvLSTM models and SR-GANs. Also developed sentiment analysis API deployment, hand gesture-controlled virtual mouse, and a breast cancer prediction system, showcasing versatility across domains.
Certifications and Achievements
Earned certifications in Machine Learning using Python, Azure Fundamentals, Power BI, and advanced courses in C++ and Scala. Recognized as the branch topper during the B.Tech program for academic excellence.
Leadership and Contributions
Demonstrated leadership through the successful completion of multiple high-impact projects involving advanced AI and machine learning techniques, enhancing disaster preparedness and contributing to AI advancements in medical and environmental forecasting.