During my research internship at ISRO, Collaborating with my guide Dr. Neeraj Agarwal, We focused on oceanic data obtained from the Seviri (VNIR) Imager to analyze and visualize the weather change in the ocean due to different oceanic parameters such as Sea Surface Temperature, Skin Temperature, Wind Speed, and Total Precipitation. To establish a robust relationship between sea surface temperature (SST) and skin bulk temperature (SkT). The ultimate goal is to develop a method for calculating SST directly from SkT data acquired through satellite observations. By examining how SST and SkT correlate with these parameters, this study provides critical insights into their interrelationships and variations. Such findings pave the way for enhanced SST estimation methods, which hold immense significance for the field of oceanography and environmental monitoring.The comprehensive workflow encompassed data collection, and analysis using Python and tools like Google Colab, and Jupyter Notebook, as well as the utilization of visualization tools such as Power BI and Excel for presenting precise results. Specifically, my work involved analyzing both the temperatures to understand the pattern and predicting SkT from satellite data by integrating SST information from ocean sensors. The development of models allowed for the universal prediction of satellite data using information directly sourced from ocean sensors. This hands-on experience not only contributed to enhancing our understanding of oceanographic phenomena but also had practical applications in foreseeing and mitigating potential environmental challenges.A research paper is in progress for the same.

Team Saarthak, participated in the prestigious ABU Robocon 2022-23, engaging in a challenging international robotics competition spanning three rounds. Our team successfully advanced to the finals at the national level.In the technical aspect, our focus was on real-time image data processing, where we employed cutting-edge technologies such as Arduino, Node MCU, and Raspberry Pi, coupled with various wireless Bluetooth devices. Our efforts were centered around optimizing the performance of two robots designed to accomplish specific tasks.As the team lead, I had the opportunity to work closely with each team member, fostering effective collaboration and gaining a deeper understanding of the responsibilities associated with leadership in a competitive robotics environment. This experience allowed me to refine my leadership skills and contribute to the success of Team Saarthak in the ABU Robocon competition.

To analyze the data from the official government Covid website using API, Numpy, Pandas and Visualize it using Matplotlib & seaborn. Implementation of Linear regression models to make use of unstructured data in the real world.

• To Design a Safety helmet that does not let the user start their bike without wearing it to maintain safety.• Technology: Arduino UNO, Wireless Bluetooth & Proximity sensors were the main components.• I built the connection of the microcontroller & sensors according to the requirement in ARDUINO IDE.