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Aravind

Data Analyst

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Phoenix, Arizona, United States
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Competencies

SQL

Demonstrated experience with SQL.

Python (Pandas, NumPy, Matplotlib)

Demonstrated experience with Python (Pandas, NumPy, Matplotlib).

Oracle

Demonstrated experience with Oracle.

MySQL

Demonstrated experience with MySQL.

PostgreSQL

Demonstrated experience with PostgreSQL.

Education

Master of Science, Business Analytics
University of Colorado Denver - Business School
2023 - 2025
Bachelor of Engineering, Electronics and Instrumentation
Velammal Engineering College, Anna University
2016 - 2020

Languages

EnglishFluent

Summary

Data Analyst open to new opportunities

Experience

Data Analyst Intern

Yiddish Arts and Academics Association of North America (YAAANA)
Aug 2025 - Present

Analyzed user engagement and product sales data using SQL and Python, delivering weekly trend reports that informed marketing strategy. Built Excel and Tableau dashboards reducing stakeholder report access time by 35% through simplified KPI visualization. Automated website engagement and product sales reporting with Python, cutting delivery time from 40 hours to 25 hours weekly. Diagnosed Google Ads tag management issues by analyzing tracking discrepancies, enabling accurate campaign performance measurement

Data Analyst

University of Colorado Denver
Aug 2023 - May 2025

Fixed data quality issues in Workday and SAP HCM affecting 500+ employee records by writing SQL validation scripts. Designed Tableau dashboards tracking HR payroll, Finance budget variance, and enrollment for 15,000+ students and staff. Automated weekly payroll reports using Python and Excel macros, reducing preparation time from 8 hours to 2 hours. Wrote complex SQL queries against Oracle databases to extract enrollment and budget data for monthly leadership reviews. Analyzed employee turnover patterns using statistical methods in Python, identifying departments with 20%+ higher attrition rates

Data Analyst

Tata Consultancy Services, Client: Morgan Stanley
Mar 2021 - Jun 2023

Built 9 Power BI dashboards tracking capital markets trading volume and risk exposure across 5 business units. Analyzed 2M+ daily trade transactions using SQL against Oracle systems, identifying data quality issues and reporting anomalies. Automated recurring financial reports using Python and VBA, cutting delivery time from 20 hours to 10 hours per cycle. Reduced report job failures by 25% by debugging SQL errors and implementing automated validation checks. Performed trend analysis on trading data to identify anomalies, flagging$5M+ in potential risk exposure for senior management review

Skills

SQLPython (Pandas, NumPy, Matplotlib)OracleMySQLPostgreSQL
Published on CazVid - Aug 28, 2026
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