About

Aniruddha Bhattacharjee is a highly skilled Senior Data Scientist with over 8 years of experience in solving complex business problems using machine learning, deep learning, NLP, and Elasticsearch. He has in-depth knowledge of EDA and various concepts of Statistics, which he uses to develop data-driven models using various machine learning algorithms like regression, classification, clustering, PCA, SVM, random forest, and boosting. Aniruddha is proficient in developing Python-based applications and has expertise in NLP, deep learning, and computer vision. He is also skilled in developing data dashboards using Python and Tableau. He has a key skill set that includes machine learning, deep learning, NLP, word embedding, BERT, RoBERTa, advanced transformer-based models, visualization tools like Tableau and Power BI, search engines like Elasticsearch, databases like MySQL, vector databases like FAISS, Milvus, and Pinecone, statistics, exploratory data analysis, programming languages such as Python, Unix Shell Scripting, and SQL, application performance tools like SonarQube, and MLOps techniques like Flask, Cheroot, and Gunicorn web server, Docker containers, Jenkins CI/CD pipeline, Bitbucket, Git, and MLflow. Currently, Aniruddha is working as a Senior Data Scientist at Tavant, where he is involved in developing Tavant's cloud-based analytics product called TMAP. He has worked on warranty analytics, service contract analytics, IoT analytics, and more. Aniruddha has developed several ML models to predict and discover factors impacting service contract price, perform reliability analysis for OEM and NON-OEM parts, capture suspicious claims in the manufacturing industry, and forecast telematics sensor readings. He has also deployed ML models to Azure ML and Azure as a Time Trigger Azure Function Service. Aniruddha has previously worked as a Data Scientist and Senior Application Analyst at TCS, where he developed several ML models, including a supervised ML model to predict and discover factors impacting credit default rate, regulatory smart search engines using Elasticsearch, sentiment analysis models with NLP, and AI models to classify given banking regulation as applicable or not applicable to client business. He has a post-graduate diploma in Data Science from IIIT Bangalore and a B.Tech degree in Electronics and Communications Engineering from MCKV Institute of Engineering.