• Architected a web-based cognitive experiment using JavaScript and jsPysch to study imminence and recency perception in humans, analyzing the correlation between the two cognitive processes.

• Deployed the experiment on a Linux server using psiTurk and leveraged Amazon MTurk for data collection. Utilized a custom PHP script and jQuery to store 1000+ experiment results on the server.

• Improved accuracies by 35% by integrating a balanced probe distribution in the experiment, modifying key timeline parameters like inter-probe duration, and generating real-time accuracy feedbacks at regular intervals.

• Led a team of part-time food service workers at IU Dining, overseeing daily operations, assigning tasks, handling inventory, and running the cashier to ensure smooth workflow and uphold high customer service standards.

• Developed a Flask-based dashboard to detect key physical features of a car through computer vision, image processing, and region-of-interest localization. Collaborated in a cross-functional Agile team of 5.

• Trained a YOLOv3 object detection model using TensorFlow and labeled 8000 images using Visual Object Tagging Tool (VoTT) to enhance detection accuracy. Conducted unit and integration testing using Pytest achieving 75% code coverage.

• Enhanced car color detection accuracy to 85%; leveraging histogram equalization, contour detection, color clustering, and color mapping from OpenCV, scikit-image, and Pillow.

• Supervised graphic and media design requirements of the organization as member of the Media and Outreach Team.

• Designed posters, banners, certificates, and souvenirs for inter-collegiate competitions and events, using Adobe Creative Cloud, Figma, and Canva.

• Served as Core Committee member, assisting in the coordination and organization of events such as career and tech fairs; also contributing to the frontend development of the college fest website using ReactJS.

• Conceptualized and produced diverse design assets, including logos, brochures, banners, posters, souvenirs, and merchandise for various social events and fests. Worked as a videographer for Jagriti 2019, the annual cultural fest of GCECT Kolkata.

• Presented a comparative study of the various digital inpainting algorithms provided by OpenCV (a popular image processing library) and also identified the most effective inpainting algorithm based on Peak Signal to Noise Ratio (PSNR), Structural Similarity Index (SSIM) and runtime metrics.

• Analysis of 10+ machine learning models for music genre classification, including tree-based, probabilistic models in scikit-learn, and neural network models in TensorFlow, achieving 90% test accuracy with hybrid CNN-RNN architectures using LSTM.

• Proposed a Generative-type travel chatbot utilizing Natural Language Processing and Seq2Seq (Encoder-Decoder) model with LSTM for Kolkata tourism.

• Content creation on myriad of topics like study abroad, travel, cinematics, and lifestyle; with a vision to teach and inspire my viewers to be creative and value-driven.

• Garnered 2600+ subscribers, 3M+ impressions, and 315K+ lifetime views on the channel.

• Generating 10K+ monthly views and 4.5K+ monthly unique visitors on the channel.

• Showcasing my art, doodles, and design concepts, along with documenting my travel and lifestyle experiences in form of engaging reels or carousels.

• Creating visual stories and cinematics suited for short form video storytelling, along with photography and aesthetic frames.

• Secured 2nd position and awarded $1500 for developing a visualization dashboard in the CRNY (Creatives Rebuild New York) Data Visualization competition hosted by IU Center for Cultural Affairs.

• Secured 1st position as member of Hum@IU, IU Bloomington's premier Indian fusion acapella group.

• Awarded a merit scholarship of 30% by school management for scoring 96.2% in I.C.S.E. 2015.

• Secured 2nd position for beatboxing in Talent Hunt competition at A.I.M 2015, organized by the Rotary Club of Calcutta.