-Achievement-driven professional with experience of more than 9 years across Automotive, Consumer Appliance and Fintech Sectors-Effective communicator with excellent management and analytical skills with attention to detail, good team player and flexible working in a fast-paced environment.-Architected Artificial Intelligence applications with Machine Learning and Deep Learning using Python. -Hands-on experience with Pyspark, Azure Cloud Services such as Azure ML Studio, Azure Devops for project management and Databricks with MLFlow for Tracking experiments, models. -Implemented Machine Learning techniques such as Linear/Logistic Regression, Ensemble Methods like Random Forest and XGBoost as well as K-Nearest Neighbours, Naive Bayes Classifier, SVM and Clustering algorithms like K-means to solve various business problems across multiple domains. -Leveraged Deep Learning techniques like ANN, CNN and Transfer Learning to create Fabric Detection models for better classification. Used RNN-LSTM, Encoders & Decoders, Attention models and State of the art Transformers based models to develop conversational AI with Google Dialogflow Chatbot.-Skilled in libraries such as Sklearn, Numpy, Pandas, Tensorflow, Keras, Pytorch and Matplotlib, Seaborn for Data Visualization.-Extensive knowledge of working with SQL databases like MySQL and PostgreSQL for effective and faster data querying and extraction.-Implemented Flask framework with Flassger for Web API creation followed by deployment in Heroku (PaaS). https://ipl-scoreprediction-api.herokuapp.com/-Contributor to the Data Science Community through Kaggle and GitHub and avid reader of Medium articles.