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View Resume2015-2019
B.tech(Mechanical Engineering)
GLA University
B.tech(Mechanical Engineering)
GLA University
(Big Data Analytics)
CDAC- Pune
1. Built out the data and reporting infrastructure from the ground up using Tableau and SQL server to provide real-time insight client.
2.worked on complex SQL queries to work with large Datasets.
3.Designed 4+ onsite databases and maintained a group of 25 databases, reducing production costs by 15 percent and boosting productivity using data modeling techniques.
4.Reduced system downtime by 9 percent working with IT teams to troubleshoot and resolve data-related issues.
5.Developed and maintained data documentation to improve data understanding and usage within the team.
6.Develop custom Tableau Dashboard dashboards for the production line by which defect rate reduced by 1.2 percent in antenna part and control the material losses .
7.Developed and published reports and dashboards using Tableau. Data Modelling and writing SQL queries and performance tuning of existing SQL.
EDA, Dashboard generation, worksheet and Story Generation.
Telecom Customer churn Prediction
The Companies concentrate to the extant customers to avert churn. A churn prediction model is needed to predict the churners. Logistic Regression, Decision Tree, Random forest, XG Boost, KNN models were used to predict customer churn rate.
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