Acquired knowledge on python (OOPS), file handlingWorking Knowledge of python modules like numpy, pandas, matplotlib, seabornSql, TableauFundamentals of deep learningClassical ML techniques for regression and classificationBusiness case study:This business case has information of 100k orders from 2016 to 2018 made at Target inBrazil. Its features allows viewing an order from multiple dimensions: from order status,price, payment and freight performance to customer location, product attributes and finallyreviews written by customers.

Good understanding of Software Development Life Cycle (SDLC) processes andagile methodology.Good hands-on knowledge of Source Code Management (Version Control System) toolslike GIT.Worked on large volume of telecom logs, Cleaning and predictive modeling.monitoring alerts and logs on ELKHands on experience on continuous monitoring tools like Prometheus and Grafana.Hands on experience on CEPH storage.Working knowledge of Machine Learning algorithms and Data Science lifecycle.Perform exploratory data analysis on the logs fetched from Kibana

Hands on knowledge of Incident Management Tool.Monitoring of alerts on Grafana.Internal Training on Data Management, Soft skill , Data Security ,Travel ManagementUsed the MNIST data set and trained a MLP model to recognize the handwritten digit applieddifferent activation function and architecture models for the best resultGood applied statistics skills, such as distributions, statistical testing, regression.Good scripting and programming skillsGood at communication and documentation.