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Master of Engineering

• Relevant Courses
  • Graphical Deep learning
  • Deep learning
  • Introduction to Optimization
  • Advance Image Processing
  • Pattern Recognition
  • Algorithm Design and Analysis

Technical Analyst

• Design, review, evaluate and test efficient IT systems to meet business and technology needs.
• Achieved a 50% improvement in website performance through strategic optimizations, including restructuring site elements, optimizing image sizes for faster loading, and enhancing the blog section.
• Automated the previously manual process of product uploading by using a Python script and PHP, resulting in significant time savings.
• Streamlined product uploading processes by developing Python scripts and automating a previously manual task. This initiative resulted in substantial time savings and efficiency improvements.
• Applied Python for web scraping to systematically gather data from websites. Conducted in-depth analysis on the collected data to derive valuable business insights.

Analyst

• Designed and developed a Power BI and Excel dashboard to analyze hotel popularity based on cost, location, and proximity to malls. Calculated popularity factor through meticulous analysis to deliver data-driven insights for strategic decision-making.
• Collaborated closely with a data engineer to enhance code reusability and robustness. Developed a Talend pipeline for ETL processes and optimized the star database schema, ensuring efficiency in data processing and storage for advanced analytics.
• Conducted in-depth analysis on time series data using Jupyter Notebook and Python. Extracted valuable statistical and business insights, providing a comprehensive understanding of trends within the dataset. This analytical approach significantly contributed to informed decision-making processes.

Machine Learning Engineer

• Performed comprehensive cost analyses to assess the economic viability of AI integration in the farming sector, leading to optimized operational efficiency and improved business performance.
• Developed and deployed a state-of-the-art Deep Learning algorithm for disease estimation in Mango plants using leaf images, achieving an exceptional performance improvement of 90.35%.

Research Assistant

• Conducted a comprehensive 10-year analysis of minute-by-minute weather data from various locations in India utilized machine learning clustering algorithms to investigate correlations between the datasets.
• Engineered an Arduino-based system for real-time data capture, reducing data collection latency by 55%. Designed and constructed an energy module using Xbee, Raspberry Pi, and a thermo-hygrometer, which enabled the generation of hourly GUI-based results for enhanced data visualization.
• Validated module outcomes by integrating them with OpenStudio, an Energy Simulation Software, in diverse climatic regions.
• Pioneered a novel climate classification technique incorporating degree days as a key parameter.
• Successfully presented work at ICAME - 2022 (International Conference on Advances in Mechanical Engineering).

• Nobel Prize in Physics
• Matteucci Medal

• Max Planck Medal