Data Analyst

Haripranay Peddagolla

+1-682-***-**** **************@*****.*** linkedin.com/in/haripranay

Summary

Skilled Data Analyst with experience in Python and SQL for data wrangling and manipulation. Proficient in machine learning and statistical analysis, capable of interpreting complex data sets to generate actionable business insights. Strong communicator with project management skills, effectively collaborating with technical and non-technical stakeholders. Eager to leverage skills and experience at Zest AI to support data-driven decision-making and enhance credit underwriting processes.

Education

University of Texas at Arlington Aug 2023 - May 2025 Master, Data Science

Satyabama University Aug 2018 - May 2022

Bachelor, Electronics and Communication Engineering Work Experience

Capgemini Sep 2022 - Aug 2023

Data Analyst Mumbai, MH

• Automated Power BI reporting using SQL Server and Pandas, decreasing manual workload by 20%.

• Reduced operational costs by 30% through SQL view optimizations and ETL enhancements.

• Streamlined Microsoft Azure data models, resulting in 15% faster dashboards and 20% quicker data processing.

• Conducted A/B testing to increase conversion rates by 12%. University of Texas at Arlington, Student Organizations Office Jan 2024 - May 2024 Data Analyst / Machine Learning Specialist Arlington, TX

• Increased student participation in programs by 15% using predictive modeling techniques such as regression analysis.

• Optimized BI products, improving performance by 20% using advanced Python data models.

• Developed automated data collection methods for 10,000+ students, enabling real-time Power BI analytics. Projects

University of Texas at Arlington

Market Analysis Dashboard (Tableau)

• Built an interactive Tableau dashboard integrated with real-time data sources to analyze consumer spending and demographics.

• Provided actionable insights to decision-makers, improving targeting strategies. Image Classification for Signature Detection

• Augmented the dataset by 109x, increasing model accuracy and generalizability.

• Achieved 92% accuracy using Logistic Regression, Decision Trees, and XGBoost. Predicting Customer Behavior and Revenue (Machine Learning)

• Designed a robust ML pipeline to understand and predict customer engagement and purchasing behavior.

• Delivered insights to optimize e-commerce strategies and increase revenue. Skills

• Programming Languages: SQL, Python, R, JavaScript, NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Seaborn, NoSQL, Linux

• Data Visualization: Tableau, Power BI, Excel, Alteryx, Looker

• Statistical Analysis: Regression Analysis, Hypothesis Testing, ANOVA, Statistical Libraries, Machine Learning

• Data Management: SQL Server, MongoDB, PostgreSQL, MySQL, Talend ETL, Data Wrangling

• Cloud Platforms: Azure, Apache Spark, Hadoop, GCP

• Business Analysis: Stakeholder Engagement, Data-Driven Decision Making, Agile Methodologies

• Additional Skills: Data Governance, Data Quality, Critical Thinking, BI Software, Passion for Research, Project Management, STEM Degree, Object-Oriented Programming

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