I am an experienced Data Scientist with 4+ yrs of experience in delivering proven results. Passionate about converting ideas into implemented projects. Worked extensively on multiple projects in multiple domains and delivered results within time constraints. Experienced in working with MNC, start-up, and individual clients in solving real-world problems.

Technologies: Python, Scikit-learn, Pytorch, FastAI, Keras, Tensorflow, Pandas, Numpy, Flask, Data modelling, Evaluation & Deployment, Natural language processing (NLP), Computer Vision (CV), Papermill, Airflow

Key Achievements:

● Developed and deployed Harmonized Code Solution for Fortune 100 manufacturing company using ensemble deep learning models. (Accuracy:75 %, Time saving: 81 %)

● Developed and deployed a Liability claim classifier using NLP and language model (Accuracy: 98.16 %, Time-saving: 93 %)

● Developed Retina-net (Object detection) based monitoring solution for Retail Mart. (Map: 0.33)

● Developed an underwriting solution based on Machine learning. (Gini ratio:0.6)

● Worked on text similarity using fuzzy logic for the CA platform. (Accuracy: 92%, Time saving: 87%)

Feel free to reach out to me if you have any project or any problem you want to solve.

Email: vikassinghbhadouria@protonmail.com

Linkedin: https://www.linkedin.com/in/vikassinghbhadouria/

Github : https://github.com/VikasSinghBhadouria