Data Analyst Power Bi

Vishnu Vardhan Gundaram Data Analyst

KS 913-***-**** *************.****@*****.*** LinkedIn

Summary

I’m an enthusiastic Data Analyst with 2 years of practical experience in finance and healthcare domains, where I’ve helped teams turn raw data into clear, actionable insights. Through my internships at Infosys and Eastern Bank, I worked on real-world challenges—building dashboards, automating reports, and supporting decision-making using tools like SQL, Python, Power BI, and Tableau. With a Master’s in Computer Information Systems and an engineering background, I bring a strong mix of analytical thinking, business curiosity, and hands-on technical skills. I'm excited to join a team where I can keep learning, solve meaningful problems, and contribute through data-driven storytelling.

Technical Skills

Programming Languages:

Python (pandas, NumPy), SQL, PowerShell

ETL & Data Integration:

dbt, AWS Glue, Apache Airflow, Custom Python ETL, Databricks with Unity catalog, MSSQL ETL, Structured & Semi-Structured

Data Handling

Data Warehousing:

Snowflake, MSSQL, Data Modeling, Data Normalization, Indexing Strategies

Data Visualization & BI:

Power BI, Tableau, Excel, PowerPoint & Keynote

Cloud Platforms:

AWS, Azure, and ADLS Cloud-Native Data Platforms

Data Governance & Quality:

Great Expectations, Collibra, Access Control Policies, Metadata Management

Data Processing Frameworks:

PySpark, SQL Optimization Techniques

Statistical Analysis:

A/B Testing, SciPy, KPI Evaluation, MATLAB, SPSS

Collaboration & Agile:

XGBoost, scikit-learn

CI/CD & Testing:

SQL Unit Testing, Git, CI/CD Integration

Experience

Bave Technologies, Data Analyst, TX Dec 2023 – Till now

●Engineered and optimized over 10 database schemas and analytical queries using SQL and Snowflake to support cloud-native data platforms, improving reporting scalability and reducing query time by 40%.

●Developed and maintained 5+ modular ETL pipelines using dbt and SQL to automate cross-platform data integration, improving data reliability and reducing update delays across marketing and finance systems.

●Automated 50+ repetitive data workflows using object-oriented Python (pandas, NumPy) to streamline data cleansing and transformation, increasing operational efficiency by 35% and reducing human errors.

●Integrated backend APIs with enterprise data services to centralize customer behavior data, enabling cross-departmental insights and powering advanced analytics initiatives in agile environments.

●Implemented AWS Glue and S3-based workflows to manage structured and semi-structured data pipelines, optimizing storage costs and accelerating batch processing by 45% for large-scale ingestion jobs.

●Ensured data security and consistency by implementing governance standards using Great Expectations and access control policies, resulting in 99% accuracy in analytics and improved regulatory compliance.

●Monitored data warehouse performance using indexing strategies and query profiling tools, resolving 20+ bottlenecks and boosting performance of BI dashboards by 40%.

●Created and maintained technical documentation for ETL pipelines and data models, improving onboarding speed for new analysts and enhancing cross-team knowledge sharing.

●Participated in CI/CD-driven analytics development by integrating SQL test suites and using GitHub for version control, ensuring code reliability and accelerating deployment of analytics assets.

Hexaware Technologies, Data Analyst, India Aug 2022 – Aug 2023

●Engineered scalable ETL workflows and SQL to ingest and transform MSSQL data across finance and HR domains, reducing manual intervention by 40% and improving pipeline reliability.

●Optimized 50+ SQL queries and stored procedures to enhance performance of enterprise reporting layers, achieving a 20% reduction in dashboard refresh times and increasing user satisfaction.

●Developed automation scripts in PowerShell and Python (using pandas and NumPy) for log monitoring, server health checks, and data integrity validation, reducing manual workload by 30% and increasing system transparency.

●Built interactive dashboards using Power BI and Excel to visualize KPIs and operational metrics, enabling stakeholders to identify revenue-impacting trends and improving business decision speed by 25%.

●Implemented data governance policies using Collibra and internal tools to standardize metadata definitions, enforce access controls, and establish data ownership across departments, enhancing audit readiness and data compliance.

Ensured availability of 24x7 business-critical systems through real-time monitoring, root cause analysis, and proactive incident resolution, maintaining >99.9% system uptime and consistent analytics delivery.

● Utilized Unix/Linux for scheduling cron jobs, file system maintenance, and debugging data pipeline errors, accelerating resolution times and supporting smooth data transitions during platform migrations.

●Collaborated with cross-functional teams using Agile methodologies and Jira to deliver high-impact analytics solutions, streamline data pipelines, and contribute to SDLC-driven product enhancement

Projects

Hospital Readmission Analysis (Healthcare),

Jan 2024 – Mar 2024

●Analyzed over 10,000 patient records using Python and Power BI.

●Identified high-risk groups and predicted 30-day readmissions using logistic regression.

●Helped simulate care programs that showed a 7% reduction in readmissions.

E-Commerce Customer Segmentation (Retail),

Nov 2023 – Jan 2024

●Performed RFM analysis and clustering on 50,000+ customers using K-means.

●Automated updates with SQL + dbt pipeline and visualized using Power BI.

●Enabled the marketing team to target high-value segments, increasing CTR by 14%.

Loan Default Prediction (Banking),

Aug 2023 – Oct 2023

●Developed an XGBoost classification model using 40K+ loan records.

●Built feature pipelines and deployed model results to Power BI for credit teams.

●Helped reduce false positives and automate low-risk approvals

Restaurant Analytics Dashboard (Hospitality),

May 2023 – Jul 2023

●Created real-time dashboards for 100+ restaurant branches using Power BI.

●Monitored KPIs like staff efficiency, item sales, and waste levels.

●Helped optimize inventory decisions and reduced food waste by 12%

Environmental Trends & AQI Forecasting (Public Sector)

Mar 2023 – May 2023

●Collected and processed AQI and climate data from public APIs.

●Used SARIMA models to forecast city-level air quality.

●Created a Tableau dashboard with geospatial views and historical trend lines.

Sales Forecasting Dashboard (Supply Chain),

Jan 2023 – Mar 2023

●Built sales forecasts using Prophet and ARIMA on time-series data.

●Integrated Excel override inputs for planning managers.

●Enabled smarter inventory decisions and prevented stockouts in pilot simulations.

Certificates

●Microsoft Azure Fundamentals Microsoft

●Machine Intelligence and Brain Research—IIT Madras

●Data Analytics Essentials—CISCO

●Google Analytics Certification Google

●SQL (Basic, Intermediate & Advanced) Certification HackerRank

●Cybersecurity Analyst Job Simulation TATA Group

●Explore Electrical Engineering Job Simulation GE Aerospace

●Cybersecurity Job Simulation Mastercard

●Data Visualization Empowering Business with Effective Insights Job Simulation—TATA Group

Education

University of Central Missouri (UCM), USA Master’s in Computer Information Systems

Jan 2023 – Dec 2024 GPA: 3.0

JNTU Hyderabad, India Bachelor’s in Electronics & Communication Engineering,

Aug 2017 – Jul 2023 GPA: 7.0/10

Organizations

Finance Head – College Festival (JNTU)

●Managed 18 Lakhs of funds for student-led cultural fest

●Built Excel-based budget tracker and saved 15% on overall procurement costs

Volunteer—FBHHS Community NGO

●Participated in fundraising and youth awareness drives for underserved communities

●Volunteered at FBHHS, a nonprofit organization dedicated to backward welfare initiatives, public speaking, and awareness, contributing to community development, raising funds, and supporting programs

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