Tasks & Responsibilities: 1. Collect, manipulate, and analyze data (Data Importing, Data Inspection, Data Cleansing (perform missing value treatment and handle outliers). 2. Efficiently working on Data Exploratory Analysis. 3. Efficiently working on finding scalable solutions to business problems using Descriptive Analytics (Statsictics Techniques: Hypothesis Testing with Z Test, T Test, ANOVA, Chi Square).4. Research and build model using machine learning and statistical approaches for Linear Regression and Logistic Regression algorithm for predicting the outcome and working on statistical and data miningtechniques (ex. Regression, Random Forest, Boosting etc). 5. Working on Advanced Statistical Techniques: Gini, Concordance, F- Score etc. to implement Linear Regression and Logistic Regression (Supervised Learning) based problems.6. Restful API Development – Building Restful API with proper authentication and error handling (Custom Middleware) using Python, Django Rest Framework and Couch DB. 7. Efficiently working on the web crawling using requests package and collect data & integrated into one data system and working on Kafka, Zookeeper, Logstash & winlogbeat for continuous monitoring of the Endpoint’s sysmon Logs.