Data Analyst Power Bi

Keerthi Samhitha Kadaveru

+1-774-***-**** ********@*******.*** LinkedIn

Education

University at Buffalo - State University of New York (SUNY) Buffalo, NY Master of Science (M.S.) in Data Science Aug 2024 - Dec 2025 Gurunank Institute of Technology (GNIT) Hyderabad, India Bachelor of Technology (B.Tech) - Electronics & Communication Engineering Jun 2017 - May 2021 Technical Skills

Data Analysis & Modeling: Excel (LOOKUP functions, Pivot Tables, VBA, Macros), Statistical Analysis, Predictive Modeling, Machine Learning, Data Mining, Trend Analysis, Hypothesis Testing, A/B Testing, Regression Analysis, Time Series Analysis Programming & Database: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), SQL (PostgreSQL, MySQL, Advanced Queries), R Programming, ETL Development, Data Warehousing, Customer Segmentation, Churn Analysis Visualization & BI: Power BI (DAX, Power Query), Tableau, Interactive Dashboard Visualizations, KPI Development Technical Platforms: Apache Airflow, AWS (S3, Redshift), Git, Docker, Statistical Software, Database Management Systems Certifications: Google Data Analytics Professional, Power BI Data Analyst Associate, SQL Server Certification Work Experience

Capgemini Bengaluru, India

Data Analyst Oct 2021 - Aug 2024

• Built automated ETL pipelines using Apache Airflow processing data from 10+ sources, cut manual data processing time by 25% and delivered real-time business reporting for 50+ stakeholders across IT and compliance teams

• Debugged and optimized database performance through SQL query tuning and index restructuring on PostgreSQL databases containing 50+ million records, boosted query execution time by 30% for ad-hoc analysis and operational dashboards

• Analyzed compliance data across 20+ client IT infrastructures using statistical sampling and automated validation scripts, identified 300+ security vulnerabilities and delivered executive risk reporting that improved client compliance scores to 97%

• Deployed predictive analytics models for infrastructure risk assessment using Python machine learning algorithms, built early warning systems that cut critical incidents by 35% and supported proactive maintenance strategies

• Partnered with business analysts, IT administrators, and executives to translate technical findings into business rec- ommendations, influenced $2M+ in client infrastructure investment decisions

• Scaled automated monitoring dashboards using Power BI with real-time KPI tracking, eliminated 40% of manual report generation and delivered ad-hoc analysis requests within 24-hour SLA for 15+ concurrent client projects Summer Intern May 2019 - Jul 2019

• Built image classification system using TensorFlow and CNNs, deployed model achieving 92% accuracy on 10,000+ image dataset through feature engineering, data augmentation, and ResNet50 transfer learning

• Debugged training performance and ran hyperparameter optimization using grid search and cross-validation, cut model training time by 15% while maintaining 90%+ prediction accuracy

• Integrated ML model into production pipeline with software engineering team, documented performance metrics and deploy- ment procedures for enterprise scaling

Projects

Market Intelligence Analytics Dashboard SQL, Power BI, Statistical Analysis

• Ran comprehensive market analysis for global hardware manufacturer using advanced SQL analytics on 500,000+ transaction records, identified $20.46M Q4 revenue and tracked 36.33% year-over-year growth across 8 APAC markets

• Built interactive BI dashboards with drill-down capabilities and geographic heat maps, deployed trend forecasting that helped executives identify underperforming segments (Desktop/Networking: 17%) and optimize inventory allocation

• Delivered strategic recommendations through statistical modeling and competitive analysis, supported C-suite decisions for

$5M+ inventory optimization and regional expansion Healthcare Performance Analytics Power BI, DAX, Statistical Modeling

• Analyzed HCAHPS survey data patient satisfaction data spanning 9 years (43,200+ survey responses) using advanced DAX calculations and statistical trend analysis, identifying baseline satisfaction metrics (62.9%) and quantifying post-2020 per- formance decline patterns in critical care areas

• Built comprehensive healthcare BI framework with regional benchmarking across 15+ states, automated anomaly detection for satisfaction scores, and predictive indicators for patient experience risk factors, enabling hospital administrators to prioritize improvement initiatives

• Implemented data quality assurance protocols and validation rules ensuring 99.8% data accuracy, supporting regulatory compliance and enabling evidence-based quality improvement strategies projected to reduce patient dissatisfaction by 20% Professional Summary

Data Analyst with 3+ years driving data-driven decision making through statistical analysis, predictive modeling, and business intelligence solutions. Expertise in cross-functional collaboration with IT, compliance, and business teams to deliver actionable insights from complex datasets. Proven track record in trend identification, performance optimization, and stakeholder com- munication using Python, SQL, and machine learning techniques.

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