Power Bi Stack Developer

SADHANA VASA

+1-773-****-*** • **************@*****.*** • LinkedIn

Technical Skills

• Languages: Python, R, SQL, Shell, Java (Basic)

• Data Visualization & BI: Tableau, Power BI, Looker, Matplotlib, Seaborn, Excel (Advanced), Google Data Studio

• Databases & Warehousing: MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, Amazon Redshift, Google BigQuery

• Big Data & Engineering: Apache Spark, Kafka, Airflow, dbt, Hadoop, ETL/ELT

• Cloud: AWS (S3, Redshift, Glue, Lambda), GCP (BigQuery, Dataflow), Azure (ADF, Synapse)

• ML & Analytics: scikit-learn, TensorFlow, Pandas, NumPy, SciPy, Regression & Classification, Time Series Forecasting, A/B Testing, Statistical Analysis

• Integration & Automation: REST APIs, JSON/XML, Web Scraping, Data Pipelines

• Version Control & CI/CD: Git, GitHub, GitLab, Jenkins, Maven

• Python Development: OOP, REST API Development (Flask/FastAPI), Web Scraping, Data Processing, Automation Scripts, Unit Testing (PyTest), Modular Code Design, Debugging & Optimization, Package Management (pip, venv), Error Handling & Logging. Professional Summary

A highly skilled Full Stack Developer with over 6 years of experience in designing and developing ro bust, scalable applications. Expertise in Java, Python, Node.js, and cloud technologies, combined with a strong foundation in object-oriented principles, design patterns, and modern development practices. Adept at building high-performance, industry-standard solutions using frameworks like Spring Boot and Hibernate and implementing Microservices and Serverless architectures. Professional Experience

Marcus Global Solutions – Hyderabad, India Data Analyst July 2021 – Apr 2023

• Conducted comprehensive business analysis to assess client requirements, translating complex business needs into scalable, data-driven solutions.

• Optimized workflows and automated manual processes, resulting in a 30% increase in team productivity through strategic process improvements.

• Designed and developed sales data models using Python and SQL, uncovering trends that contributed to a 15% increase in revenue.

• Built and deployed interactive dashboards using Tableau and Power BI, enabling real-time visibility into KPIs and accelerating data-driven decision-making across business functions.

• Facilitated stakeholder engagement, requirement gathering, and project prioritization to ensure efficient resource allocation and alignment with business objectives.

• Identified revenue-driving trends and emerging market opportunities, delivering actionable insights that supported strategic growth initiatives. Cognizant Technology Solutions – Hyderabad, India Process Analyst October 20219– May 2021

• Developed and deployed a real-time resource tracking system using Python, SQL, and ETL pipelines, enhancing operational visibility and coordination across teams.

• Designed and implemented data-driven estimation models, achieving 90% accuracy in forecasting project effort, costs, and timelines, improving prioritization and budget planning.

• Performed advanced resource performance analytics using Python (Pandas, NumPy), SQL, and R — leveraging statistical modeling, forecasting, and hypothesis testing to optimize workforce utilization.

• Leveraged CRM platforms (Salesforce Reporting, Excel) to analyze sales data, identify revenue opportunities, and deliver insights that improved sales performance and pipeline visibility.

• Built Tableau and Power BI dashboards to deliver executives real-time insights into resource utilization, financial health, and project status, enabling better strategic planning.

Global Experience Specialists – Hyderabad, India Data Engineer May 2018 – Sep 2019

• Performed customer segmentation analysis on over 500,000+ attendee records, increasing targeted campaign ROI by 20%.

• Analyzed attendee behavior across 50+ annual exhibitions, uncovering insights that improved event engagement by 25%.

• Designed predictive models to forecast event turnout, increasing demand planning accuracy by 20%.

• Created interactive dashboards in Tableau, monitoring booth traffic, registration trends, and demographics, achieving a 90% reduction in reporting turnaround time.

• Developed data validation scripts, improving data quality and reducing errors by 30% in exhibitor and attendee records.

• Automated data ingestion from survey, ticketing, and CRM systems, saving 120+ hours per quarter in manual work. Projects

• Customer Segmentation – Labelmaster Capstone (Python, R, Tableau): Performed K-means clustering on engagement and purchase data; developed Tableau dashboards to identify target segments. Ranked top project for strategic impact and data-driven execution.

• Marketing Strategy Simulation (A/B Testing, CAC/CLV, Forecasting): Applied CAC/CLV models, pricing strategies, and A/B testing to optimize marketing spend; delivered data-backed recommendations to maximize campaign ROI.

• Citibike Mobility Forecasting (R, Time Series): Analyzed and forecasted demand using 2M+ trip records; proposed a redistribution strategy to improve peak-hour bike availability by 20%.

• Project Execution Simulation – Harvard PM (Excel, Risk Analysis): Led planning and execution of 200+ tasks under cost and time constraints; tracked scope, cost, and performance to ensure on-time project delivery.

• Fraud Detection using ML (Python, Scikit-learn): Engineered features and implemented KNN and SVM models on real transaction data; achieved 73.4% accuracy through cross-validation.

Education

Master of Science in Computer Science September 2023 – June 2025 DePaul University – Chicago, Illinois Achievements

• Optimized data pipelines and SQL queries, improving processing speed and reporting efficiency by 35%.

• Automated analytics dashboards using Power BI and Python, saving 20+ hours weekly in manual reporting.

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