- Senior Data Scientist with software engineering background. - Experienced in building Analytics Products. - Experience ranging from hypothesis testing, model experimentation to production level engineering for DS - Multiple patents in Data and AI - Varied domain experience in BFSI, financial crime, supply chain, smarter cities - Polygot Programmer ------------------------------------------------------------------------------------------- Past Roles ------------------------------------------------------------------------------------------- - Experience in advanced analytics products spanning video analytics, internet-of-things core - Lead architectural design and development of Smarter cities and Safer Planet Analytic solutions using IBM Internet of Things core platform, to enable clients to get actionable information out of disparate information sources (sensors, videos, social) - Data Analyst - Technical Leadership role in client interactions and engagements. - Active Contribution towards Asset Harvesting, Knowledge sharing, Technical Forums, and Innovative Idea Sharing. ------------------------------------------------------------------------------------------- Skills - Reinforcement Learning | Deep Learning | Machine Learning | Spark | Distributed Computing ------------------------------------------------------------------------------------------- || DS Skills Tools - python | numpy | pandas | matplotlib | scipy | sklearn | pyspark | Methodology - Business Understanding | Data Requirements | Data Preprocessing | Data Understanding | Feature Engineering | Model Training & Evaluation | Deployment EDA - Descriptive Statistics | Predictive Statistics Models -Statistical Modelling | Predictive Modelling | Insurance Risk Modelling. || NLP Skills Language Models | Information Extraction, Text Classification, NER, Coreference Resolution Tools - spacy, nltk, sparknlp || Computer Vision Skills Concepts - Receptive Field | Dilated Convolution | Transpose Convolution | Depthwise Seperable Convolution | Spatially Separable Convolution | Batch Normalization & Regularization | Super-convergence | Data Augmentation - Dropout | Batch Normalization | L1 | L2 regularization Debugging - Grad-CAM Domains - Image Classification | Image Segmentation | Object Detection | Architectures : Resnet, Yolo - IBM Certified Data Science Professional