Badges
Certifications
Work Experience
Senior Data Scientist
Zensar Technologies Ltd.• July 2019 - Present
* Enabled more than 150 World Health Organization employees globally by providing training on nascent technologies such as R Shiny and Power-BI as part of the internal change management system. * Investigated the prospects of deploying shiny applications on the AWS platform utilizing a Linux based shiny-server running on a Docker instance. * Instrumental in turning proof of concept into a market-ready cloud solution for the Information Management Technology Department, WHO. [R Shiny, shinyapps.io] * Devised a web prototype to demonstrate the encryption of data sources such as .csv or excel and implemented user-authentication to explore the capabilities using R Shiny. [shiny dashboard, shiny-UI, JavaScript, encryption] * Led the product feature enchantment meetings with RStudio and Microsoft to address the implementation of use-case specific packages. * Developed embeddable R scripts into PowerBI to produce visuals and functionalities that are shortcomings on the PowerBI cloud version for the COVID-19 dashboard. * Performed sentiment analysis to comprehend employee crux in the organization’s internal social networking platform. [R, Natural Language Processing]
Senior Analyst Analytics
Hansa Cequity• May 2018 - July 2019
* Mentored a team of 4, ensuring every individual is capable of performing the assigned duties. * Synthesized complex problems and translated them into an analytical approach. Analyzed, manipulated and processed complex data sets using advanced querying, visualization and analytics. * Developed intricate algorithms based on deep-dive statistical analysis and predictive data modelling to identify a policy propensity to lapse, win-back, upsell or cross-sell and attrition analysis for a leading Indian insurance client. * Predicted 12% better than traditional captures and achieved ₹2.4M incremental collection from 13th-month renewals. * Accomplished to forecast a 66% win-back by targeting 30% of customers by applying Logistic Regression with 81% AUC.
Technology Analyst
Infosys Ltd• March 2014 - May 2018
* Determine product strategy and pricing policies that will maximize the company’s revenues. * Conducted analysis using various machine learning models such as Linear and Logistic Regression, Time series and Decision trees for a major US-based telecom client. * Effectively reduced the reporting time, by closely working with the automation team resulting in the release of 2 engineers from the process and improving productivity by 25%.
Education
JNTU, Kakinada (Jawaharlal Nehru Technological University)
Software Engineering, MS• June 2012 - May 2014
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya
Electronics and Communications, BE• July 2008 - May 2012