
Jagruthi Pullaiahgari
@jagruthipullaiahgari
I build data pipelines, forecasts, and dashboards that improve operational decisions.
What I'm looking for
At Uber, I forecast rider demand across U.S. markets, detect trip and payment anomalies, and build ETL pipelines processing more than 5 million daily records.
I improved forecast accuracy by 12%, cut anomaly detection time by 40%, and delivered driver retention and earnings analysis that saves 15 analyst hours each week. I also certify datasets through data-quality rules, lineage documentation, and role-based access controls.
Previously at Meta Systems, I delivered SQL analysis, Power BI reporting, AWS Glue transformations, and automated MIS reports. I build practical analytics solutions with Python, SQL, Tableau, Power BI, Snowflake, and machine learning.
Experience
Work history, roles, and key accomplishments
Forecasted rider demand using time-series and regression models, improving accuracy by 12%. Detected anomalies in trip and payment events, cutting detection time by 40%.
Associate Data Analyst
Meta Systems
Aug 2021 - Aug 2023 (2 years)
Analyzed operational datasets using SQL and Python, maintaining reporting accuracy above 97%. Built Power BI dashboards and supported ETL activities, reducing rework by 20%.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science
2023 - 2025
Master of Science degree from the University of North Texas, Denton, TX, from 2023 to 2025.
Sree Vidyanikethan Engineering College
Bachelor of Technology, Computer Science and Systems
2019 - 2023
Bachelor of Technology in Computer Science and Systems from Sree Vidyanikethan Engineering College, India, from 2019 to 2023.
Availability
Location
Authorized to work in
Salary expectations
Skills
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