Summary
Overview
Work History
Education
Technologies
Projects
Achievements And Activities
Timeline
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Lokesh Reddy Pillari

Glassboro,NJ

Summary

Experienced Decision Scientist skilled in data analysis, visualization, and large-scale data management. Built 20+ performance dashboards and led competitive analyses with a focus on accuracy and quality control. Eager to apply analytical skills to generate actionable insights as a Data Analyst.

Overview

2
2
years of professional experience

Work History

Decision Scientist

Mu Sigma
Bangalore, India
09.2021 - 08.2023
  • Designed and maintained over 50 employee data dashboards to deliver actionable insights.
  • Conducted comprehensive exploratory data analysis to uncover trends guiding strategy formulation.
  • Utilized over 100 performance scorecards to rank individuals based on established metrics.
  • Created an automated solution for seamless updates to enhance operational workflows.
  • Implemented a data quality tool, ensuring accuracy by identifying inconsistencies.
  • Established a dashboard that improved decision-making efficiency through real-time error detection and forecasting.

Education

Master of Science - Data Science

Rowan University
Glassboro, NJ
05-2025

Technologies

  • Data Analysis & Visualization: Tableau, Pandas, Snowflake, BigQuery,Sisense, Power BI, MS Excel
  • Research & Reporting: Exploratory Data Analysis, Trend Analysis, Competitive Research, Report Validation, Data Quality Management
  • Database Systems: SQL, MySQL Server
  • Soft Skills: Problem-Solving, Critical Thinking, Analytical Thinking, Decision Making, Collaboration

Projects

       Waste management using IOT

  • This project is very effective in managing waste in any huge metropolis to ensure the protection of the environment through efficient waste management and to separate organic and inorganic garbage. A priority approach is employed in place of traditional periodic collection methods to maintain the city clean all the time and prevent overflowing dumpsters.

       Smart Voting System Through Facial Recognition:

  • Face Detection and Recognition (FDR) technology is utilized in this system as one of the forms of electronic voting is systematic voting, and an authentication method is suggested. Voters can cast their ballots online from anywhere in the state or abroad.

       NYC Open Data Analysis using Python:

  • This project leverages publicly available datasets from the NYC Open Data portal to perform comprehensive data analysis and uncover meaningful insights. By processing and analyzing diverse data sources, the project aims to identify trends, patterns, and correlations that contribute to a deeper understanding of urban dynamics and inform data-driven decision-making within New York City.

Achievements And Activities

  • Received Spot Award for following best performance in delivering great results and reaching new heights of excellence
  • Organized a workshop on spring angular JS

Timeline

Decision Scientist

Mu Sigma
09.2021 - 08.2023

Master of Science - Data Science

Rowan University
Lokesh Reddy Pillari