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Venkatesh Vemani

@venkateshvemani

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Senior Data Analyst turning operational data into actionable dashboards, forecasts, and decision-ready insights.

United States

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What I'm looking for

I’m looking for a data role where I can build SQL/BI dashboards, automate reporting, and use forecasting and predictive analysis to turn operational insights into decisions for cross-functional stakeholders.

I’m a Data Analyst with 6+ years of experience collecting, cleaning, analyzing, and interpreting operational and business data to support informed decision-making. I bring hands-on expertise in SQL, advanced Excel, Power BI, Tableau, Python, and R to build dashboards, automate reporting, validate data quality, and uncover trends and bottlenecks.

In recent roles, I developed SQL and Power BI reporting for customer-support KPIs and reduced recurring reporting time by 40%, while delivering recommendations that improved service level by 16%. I also build forecasting and predictive analyses with regression and time-series methods to support call-volume planning and staffing decisions, and I’ve created reusable Python/PySpark workflows that reduce processing runtime by 40% for research and analytics. I’m known for translating complex findings into clear, actionable recommendations for both technical and non-technical stakeholders.

Experience

Work history, roles, and key accomplishments

Data Analyst - Operations

City of Carrollton

Jan 2025 - Dec 2025 (11 months)

Developed SQL and Power BI dashboards to track customer-support KPIs and improve service-level performance. Built Python-based forecasting and automated data validation workflows to standardize KPI definitions and increase reporting reliability.

SQL Power BI Excel Python Pandas NumPy scikit learn Forecasting Predictive Analytics Data Validation KPIs Dashboarding Time Series

Data Science Researcher

University of Texas at Arlington

Aug 2023 - Dec 2024 (1 year 4 months)

Performed statistical analysis and predictive modeling on large datasets using Python, R, and SQL, producing analytical reports for mixed technical audiences. Built reusable Python/PySpark data-processing workflows and applied model validation techniques to support research conclusions.

Python R SQL Pandas NumPy Data Cleaning Feature Engineering regression Classification XGBoost CNN PySpark Hypothesis Testing Cross Validation

Senior Analyst - Data Analytics

Capgemini (BFSI Client Engagement)

Apr 2021 - Aug 2023 (2 years 4 months)

Analyzed financial and operational datasets to identify trends, exceptions, and performance drivers using SQL, Python, PySpark, and Excel. Created KPI dashboards and automated reporting solutions with Tableau and delivered forecasting/predictive analysis while implementing data-quality and reconciliation controls.

SQL Python PySpark Excel Tableau KPI Reporting Forecasting Predictive Analysis Data Quality Reconciliations Root Cause Analysis

Data Engineer - SQL & Analytics

IAA (Insurance Auto Auctions)

May 2019 - Mar 2021 (1 year 10 months)

Built Python/SQL/PySpark data pipelines for batch and near-real-time operational analytics using AWS S3 and Redshift/EMR. Optimized Redshift SQL performance and improved data quality using automated validation rules and reconciliation checks.

Python SQL PySpark S3 Amazon Redshift EMR Data Pipelines Query Optimization Validation Rules scikit learn XGBoost Random Forest regression Streaming

Education

Degrees, certifications, and relevant coursework

University of Texas at Arlington

Master of Science, Applied Statistics & Data Science

2023 - 2024

Completed an M.S. in Applied Statistics & Data Science, conducting statistical analysis, predictive modeling, and large-scale data processing using Python, R, and SQL. Produced research-ready reports and visual summaries for technical and non-technical audiences.