I was part of Machine Learning🤖 Applied Research team. where we researched and created novel tools like Explainable Al, Bias detection and removal form data. Anomaly detection by ensembling the Gaussian Mixture Models, Hidden Markov Models, segmentation and Clustering techniques. Created automated document processing, classification pipeline of scanned documents for leading insurance company. Here we developed a tool which will remove anomalies from scanned documents using GAN, which is then feed to specialized retrained OCR system to convert scanned documents to text. Later used various NLP techniques to process and automatic claim settlement. Created a 💻computer vision ML model for novel 3D scan machine, which was used to segment the abnormalities in the scanned body parts. Here we created various 3D CNN models and finally settled to 3D U-net architecture, as it was giving better results. Map creating using Satellite imaginary: Here we used to get plain satellite image and we are supposed to create the navigable Map🗺️ out of these images. Here we used various image segmentation techniques to identify roads form satellite 🛰️📡 images. Contributed to Open Source Development for Synthetic Data Generation for leading European bank. This synthetic data is then used for various testing purposes e.g system testing, integration testing. Aspiring to scale heights as React Js Developer with a highly ambitious organization. An astute professional with 2+ years of experience in React js; end-to-end Web design & development. A passionate Frontend designer with core interest in React js, value engineering & design optimization. An excellent out-of-box thinker with an amazing problem-solving ability. A keen communicator with strong technical skills, self-motivated, quickly adaptable with change and eager to learn & implement new things. I am people oriented and I have knack to work alone & in team on challenging assignment. Well acquainted with current technology trends and industrial developments