Dec 2018 - Present
Achievements/Tasks
*To Conduct data mining, data modeling, statistical analysis, 100 %business intelligence gathering, trending and bench marking. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement,organizational realignment and process re engineering.
*Data Science (Python) and Analytics having proven knowledge and project experience on solving analytics problems using Python,under various modules like Pandas, Sklearn, Statsmodels etc,Exploratory Analysis on datasets,Relational database management
using MSQL,MYQSL
* Python to scrape, clean, and analyze large datasets Helped build tools for detecting botnets with machine learning and data mining.Data extraction, cleaning, Data Manipulations and compiling source data for databases using Python & R to make it analyzable.
*Data Extraction from SQL Server, Write Queries to fetch data from various Tables Data Analysis and Visualization using Tableau.
*Worked on various case-Studies in Analytic Labs, Perform Hypothesis testing to prove Given Statement, Make Regression Model topredict Values/Events, Data Cleaning including Missing Values Imputation, Capping outliers etc.
*Creating Reports of various Customer and company Data using Python (Tableau, Pyplot, Excel). Applying and advising on advanced analytics and quantitative tools and modeling techniques in order to derive business insights and solve business problems.