Promoted as Lead Analyst for Data Analytics Team. Now additionally responsible for process documentation, process improvement , creating SOP's for team and people management, evaluating team performance, selecting personnel for specific positions and providing training and professional development, scheduling employee work times etc.

Currently working as a Senior Associate in Analytics vertical for a Retail Analytics Project.Responsible for ETL flow for client within SLA's.Using various technologies handling and leading client ETL process.Receiving files from client and using SAS,R,Python for various analytical techlogies like segmenation and forecasting and delevering reports to clients within time.Debugging Sas code whenever required.Handling Oracle database 12 c as the client data warehouse ,managing files using unix putty,T-SQl for running SQl jobs,Iservice for ticket handling,automation tool automic for scheduling jobs.Also handling integration data using Hadoop.Using Hue for file creation and debugging jobs in Oozie .Using Hadoop cluster servers for various file debgging techniques ,Debuuging spark code whenever required. Debugging R code for various segementaion forcasting processes.

I was working as data scientist intern at Guavus for 6 months. I have contributed my work to a couple of project which is based on NLP and anomaly detection on time series data which was pattern based using binomial distribution and multinomial gaussian distribution. There are several key responsibilities are given to me as mentioned below,Identify valuable data sources and automate collection processesUndertake preprocessing of structured and unstructured dataAnalyze large amounts of information to discover trends and patternsBuild predictive models and machine-learning algorithmsMissing value treatmentData filtering Feature engineeringFeature extractionCombine models through ensemble modelingPresent information using data visualization techniquesModel evaluation using different performance matrixModel deployment with client oriented solutionsModel validation using k-fold and cross validation Implementation of boosting algorithm like xgboost,adaboost,gradient tree boostingUsing high end model using ANN,RNN and GAN on Tensorflow and keras backendPropose solutions and strategies to business challengesCollaborate with engineering and product development teams

Implementing the PLC trainer device and integrating with the PLC software.Learned how to manage relays and Industrial control. Data file vs program file sinking sourcing. Advancement of programmable logic circuits.