- Developed CAS parser to extract pertinent details from statements uploaded by users, resulting in savings of over Rs. 36000/year--Developed various view functions to create APIs for PDF uploading, information extraction, and database updates-Coordinating with different API providers and the NSE-NMF platform for backend API integration-Developing an Android application for the organization, including features such as OTP and Google Sign-In, with backend API integration to implement various functionalities like quiz responses, persona assignment, and personalized recommendations

- Implemented a distributed system of AWS services, Azure VMs, Label-studio & MongoDB to reduce manual labour & time by 50%- Curated python script to continuously listen to SQS and dump ML generated response for selenium scraped frames, to s3 bucket- Developed Ensemble learning ML model with 43% better recall than AWS Rekognition for NSFW content amongst OTT platforms- Reduced time of defect analysis using AI tools like pytesseract, yolov8 etc. for legal documents by 33.33% by using multithreading- Seamlessly integrated OpenAI into python script, utilising fine-tuned prompts to enhance legal documents’ information extraction-Implemented dashboard and login screen using MERN stack for efficient project management & employee database functionality

Aimed to design an algorithm for autonomous vehicles to be able to operate properly on Indian roads.- Developed python script for image filtration using OpenCV library in python-Managed to get approximate shape of Indian road excluding other objects like buildings,animals and greenery etc.

Aimed to find out best from two strategies to develop the drug based on stability data using DynoChem.-Developed and implemented 13 mathematical models using Microsoft excel.- Applied least square method to predict best model for predicting shelf life of drug.

-Scraped over 500 contact details from various websites using scrapy and BeautifulSoup in python for proper contact with various NGOs-Implemented VLOOKUP and Appscript for improving efficiency of Google sheets by 95%- Automated daily activities of organization by creating dashboard at Hubspot

Collaborated on a CBS Venture named goTTRAimed to resolve the quagmire related to timeshare rentals by creating a transparent platform.-> Developed python scripts for scraping data and arranging desired data into relational database-> Successfully established email alert system for regular updates on price change of timeshares.->Managed to reduce 4hr manual work/day from automating and implementing data-modelling for 100GB.