• Enabling the voice of the customer charter by design, technology, and analytics.• Heading the core analytics team and responsible for all charter’s numbers in CX department like Breach, Q2R, CSAT, Imperfection etc.• Used NLP for understanding pain points of our customers, converted voice data to text data and analyzed it further using Text Summarizations algorithms along with python.• Built data science model to understand the most important and impactful drivers for every charter like CSAT, RR, Breach and Query to resolution.• Taking care of escalations (EPLU and SMPLU) charter to understand why the customer are escalating their problems over the email to higher management and in social media platforms.• Use multiple data source to get the data like HIVE, MongoDB, SQL Server etc.• Experienced professional in working with SQL complex queries, spreadsheets, creation of pivot tables, dashboards, and visualizations on Tableau.• Dealing with large amount of data and find the route cause analysis (RCA).• Responsible for analyzing and managing flipkart event “Big Billion days (BBD)”.• Responsible for training cross functional teams like Operations, Quality and Design Team etc in SQL and Data Science for better understanding of business goals.

• Experienced professional in Statistics and Data Analytics using R language, Tableau, Hive, SQL programming.• Efficient in working with packages like ggplot2 and shiny in R to develop neural network algorithms, cluster analysis and regression analysis.• Experienced in developing predictive models using Decision Tree and Random Forest, Query optimization, execution plan and Performance tuning of queries for better performance in SQL.• Efficient in Automated recurring reports generation using SQL and R, visualize them on Tableau to ensure accurate data availability for managers and decision-makers.• Excellent understanding of database structures, principles, theories and practices, excellent problem solving and analytical skills.• Experienced professional in working with SQL complex queries, spreadsheets, creation of pivot tables, dashboards and visualizations on Tableau.• Worked with machine learning applications like Shiny for improving the forecast of business, automate lots of customer retention cohorts to see the trends of the customers.

• Responsibility of handling loans and insurance data, extraction of patterns from data collected from different sources.• Experienced in setting up of multivalued clusters using HADOOP for data analysis, enhancing accuracy in decision making.• Generation of reports using R, MYSQL, Tableau, HIVE and excel.

Internship