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Vasu Dharmana

Data Analyst • United States • v***************@gmail.com • +17******450 • linkedin.com/•••••

Professional Summary

Data Analyst with 3+ years of experience specializing in SQL, Python, Power BI, Tableau, data visualization, KPI reporting, and data analytics. Improved data reliability by 30% through data validation and process optimization while delivering actionable business insights across consulting, technology services, and customer support operations. Skilled at transforming complex datasets into interactive dashboards and analytical solutions that enhance operational efficiency, support strategic decision-making, and drive measurable business performance.

Technical Skills

Programming Language: Python,SQL
Databases: MySQL,Oracle,Microsoft SQL Server,Snowflake,PostgreSQL
Cloud Platforms: Amazon Web Services,Microsoft Azure
Version Control & Development Tools: Git,GitHub
Data Engineering & Processing: Azure Databricks
Data Analysis & Visualization: Power BI,Tableau,Microsoft Excel,Pandas,NumPy,Data Cleaning,Exploratory Data Analysis,KPI Reporting,Statistical Analysis,Predictive Analytics
AI/ML Frameworks & Libraries: scikit-learn,TensorFlow,PyTorch,OpenCV
Data Integration & ETL: dbt,SQL Server Integration Services,Data Validation,Data Migration,Data Transformation
Project Management & Collaboration: Jira,Confluence,Agile,Scrum,SDLC

Work Experience

Preferred Direct Services
United States
Data Analyst
Jun 2026 – Present
Business process outsourcing and customer support services company providing customer engagement, back-office operations, and business support solutions; analyzed operational and customer service data to deliver KPI reporting, performance insights, and process improvement recommendations for business stakeholders.
Tech Stack: SQL, Power BI, Python, Pandas, Microsoft Excel, Jira, Agile, Data Validation, Data Transformation, Data Preparation, Data Quality, KPI Dashboards
  • Evaluated customer acquisition and operational datasets using SQL, uncovering service performance trends and reporting gaps that improved data accuracy and business reporting reliability by 18%.
  • Designed executive dashboards in Power BI to monitor customer service, operational efficiency, and business KPIs, enabling leadership to make faster decisions while reducing manual reporting effort by 8 hours per week.
  • Standardized customer and operational datasets using Pandas to identify duplicate records, resolve data inconsistencies, and enforce data validation rules, improving overall data quality across business reports.
  • Partnered with operations managers and business stakeholders in an Agile environment using Jira to translate reporting requirements into analytical solutions, delivering actionable performance insights that supported strategic business initiatives.
  • Streamlined recurring data preparation and transformation workflows using Python, eliminating repetitive manual processing and reducing report generation time by 35%.
  • Recommended process improvements through customer retention, service performance, and operational trend analysis using Microsoft Excel, enabling business teams to implement targeted initiatives that increased customer retention.
TechnXpert
United States
Data Analyst
Jul 2025 – May 2026
Technology services firm focused on data analytics; intern supported enterprise reporting by structuring datasets and building KPI dashboards for business stakeholders.
Tech Stack: SQL, Tableau, Microsoft Excel, Pandas, Data Cleaning, Exploratory Data Analysis, KPI Reporting, Data Validation
  • Engineered raw datasets into structured formats using Pandas, executing end-to-end data collection, cleansing, and preprocessing workflows that improved data accuracy by 20% and enabled reliable analytical outcomes.
  • Architected interactive KPI dashboards using Tableau, providing stakeholders with real-time visibility into performance metrics and supporting faster, insight-driven decision-making.
  • Optimized data extraction and manipulation by developing advanced SQL queries on relational databases, reducing query execution time by 30% and enhancing data retrieval performance.
  • Directed collaboration with senior analysts and cross-functional teams using Microsoft Excel to validate datasets and generate analytical reports, improving reporting turnaround time while ensuring data integrity.
  • Enhanced reporting capabilities by implementing data visualization solutions in Tableau, increasing reporting efficiency by 25% and improving the clarity of business insights.
Capgemini
India
Data Analyst
Sep 2020 – Nov 2022
Global consulting and IT services company; analyst provided data extraction, cleansing, and visualization to enhance client and internal decision-making efficiency.
Tech Stack: SQL, Power BI, Tableau, Microsoft Excel, KPI Reporting, Data Validation, Data Cleaning
  • Extracted large-scale datasets using SQL, integrating data from many sources to generate business reports that improved decision-making efficiency by 20%.
  • Engineered interactive dashboards using Power BI to visualize key performance metrics, enabling stakeholders to track trends and enhance reporting visibility across business functions.
  • Streamlined recurring reporting workflows using Microsoft Excel, implementing automated reporting solutions that reduced manual effort by 25% while improving consistency and operational efficiency.
  • Aligned reporting requirements with cross-functional teams by leveraging Tableau to translate business needs into data-driven visualizations, ensuring accurate delivery of analytical outputs.
  • Standardized data validation and cleansing processes using SQL, improving data reliability by 30% and strengthening the quality of analytical insights.

Education

Indiana Wesleyan University
Master of Science in Data Analytics and Management • Sep 2023 – May 2025
MVGR College of Engineering
Bachelor of Technology in Electrical and Electronics Engineering • Jun 2016 – Jun 2020

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