Data Scientist

•      Developed & delivered Machine learning models for industrial problems having large time series data

•      In entire data lifecycle involving data collection, exploratory data analytics, data cleansing, feature selection, model development, self-tuning, sensitivity analysis, validation, deployment

•      Experience of creating & using advanced ML algorithms and statistics: regression (decision tree, SVM) , simulation, scenario analysis, modeling, clustering, neural networks (LSTM, RL), etc.

•      Using Python especially in solving Machine learning / optimization / control problems

•      In visualizing/presenting data using tools such as  Matplotlib, Power BI, QlikView, Tableau, Spotfire , ggplot, D3js

•      Development and deployment of ML based algorithm in cloud environment such as Azure, AWS, Google

•      Experience of developing algorithms for NLP, Computer vision, Video analytics

•      Experience in analyzing data from 3rd party tools.

•      Experience working with and creating data architectures.

•      Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

•      Exposure on R, Image Analytics