Job Description:
• 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