Data Analyst - Python, SQL, Power BI Specialist

RENU SREE PARUCHURI DATA ANALYST

413-***-**** ****.*@**********.*** linkedin.com/in/renu-sree-paruchuri Massachusetts, USA (Open to Relocate) PROFESSIONAL SUMMARY

Data Analyst with around 4 years of experience in transforming complex datasets into actionable insights using Python, SQL, Power BI, and Advanced Excel. Skilled in data cleaning, ETL workflows, statistical analysis, A/B testing, and predictive modeling. Experienced in building dashboards, optimizing data pipelines, and supporting data-driven decision-making. SKILLS

Programming & IDEs: Python, R, SQL, NoSQL, Jupyter Notebook, Visual Studio Code Data Processing, Cloud & ETL Tools: Pandas, NumPy, Apache Airflow, Alteryx, SSIS, SPSS, AWS (S3, Lambda), Azure (Data Lake, Databricks), Snowflake, Data Warehousing, Data Governance, ETL/ELT Pipeline Design Machine Learning & AI: Scikit-learn, TensorFlow, Keras, NLP (Text Classification, Sentiment Analysis), Generative AI (LLMs, Prompt Engineering), Predictive Modeling, Recommendation Systems Statistical & Analytical Methods: Regression Analysis, Decision Trees, Random Forests, Support Vector Machines, Hypothesis Testing, A/B Testing, Cohort Analysis, Time-Series Forecasting

Visualization & BI Tools: Tableau, Power BI, Google Data Studio, Google Analytics, Microsoft 365, Advanced Excel, VLOOKUP, XLOOKUP, Pivot Tables, Pivot Charts, Power Query, Power Pivot, What-If Analysis, Solver, Macros, DAX Functions, VBA Databases & Data Management: MySQL, SQL Server, Oracle, MongoDB, SQL Server Management Studio, Entity Relationship Modeling, Relational Database Modeling, Data Normalization, Data Integration Version Control & Collaboration: Git, GitHub, JIRA, Confluence, Slack PROFESSIONAL EXPERIENCE

AIG, USA Data Analyst June 2025 - Present

Built automated ETL/ELT pipelines using Python, Apache Airflow, and Alteryx to streamline ingestion of underwriting and claims data from AWS S3 and SQL Server, reducing manual preparation time by 40% and improving data quality for actuarial reporting.

Designed insurance risk and claims-forecasting models using Random Forests, SVM, and Time-Series Forecasting, improving quarterly loss-ratio prediction accuracy by 15% and supporting pricing decisions across key commercial insurance lines.

Applied NLP, Text Classification, and Generative AI with TensorFlow to automate categorization of claims narratives and fraud indicators, achieving 90%+ classification accuracy and accelerating claims review turnaround by 25%.

Developed Tableau dashboards and Advanced Excel What-If Analysis models to track reserve adequacy, claim-cycle efficiency, and agent performance, enabling leadership to make data-driven decisions; maintained delivery timelines using JIRA. Hexaware Technologies, India Data Analyst October 2022 – July 2023

Developed data-preparation workflows using Pandas, NumPy, and Power Query to standardize customer and transaction datasets across multiple business units, improving data quality scores by 38% and strengthening downstream analytics for key BFSI and telecom clients.

Constructed predictive and recommendation models using Scikit-learn, Keras, and advanced predictive modeling techniques, increasing cross-sell and retention targeting accuracy by 22% and reducing customer churn risk for a major enterprise client.

Executed Hypothesis Testing, A/B Testing, and Cohort Analysis using SPSS and Advanced Excel (VLOOKUP, XLOOKUP, Power Pivot, DAX) to evaluate digital campaign performance, identifying optimization opportunities that lifted conversion rates by 17%.

Orchestrated large-scale data integration pipelines on Azure Data Lake and Databricks, applying data normalization, warehousing standards, and governance controls to reduce processing failures by 30% and enhance analytics readiness for monthly business reviews.

Delivered interactive insights dashboards in Power BI and Google Analytics, enabling product teams to monitor funnel drop-offs, user engagement, and segment behavior, managed versioning and collaboration using GitHub to ensure audit-ready documentation. Zensar Technologies, India Jr. Data Analyst January 2019 – December 2020

Built automated data-integration workflows using Python, Alteryx, and MySQL to consolidate customer, product, and transaction data from disparate systems, reducing manual preparation time by 35% and improving availability for business reporting.

Designed data models using Entity Relationship Modeling and implemented warehousing structures in Snowflake, enhancing data governance and reducing query-processing delays by 28% for enterprise analytics teams.

Executed Regression Analysis, Decision Trees, and Recommendation System prototypes to support marketing and customer- segmentation initiatives, improving targeting precision and boosting engagement metrics by 15%.

Performed EDA and A/B Testing using Advanced Excel (Pivot Tables, Pivot Charts, VBA) to evaluate product feature performance, identifying optimization opportunities that increased user adoption by 12%.

Developed interactive performance dashboards in Power BI for operations and sales teams, improving KPI visibility and reducing manual EDUCATION reporting effort by 40%; coordinated updates and sprint deliverables through Slack. Master of Science in Business Analytics (MSBA) University of Massachusetts Amherst, MA, USA (GPA 4.0/4.0) Master of Business Administration (MBA) in Marketing Alliance University, Bangalore, India (GPA 3.9/4.3) CERTIFICATIONS

JPMorgan Chase & Co. Excel Skills Job Simulation (Forage) Accenture North America Data Analytics & Visualization Job Simulation (Forage)

Google Advanced Data Analytics Professional Certificate (Coursera)