Data Analyst Business Intelligence

Praveen Maddela

New York, NY ****************@*****.*** 201-****-***

https://www.linkedin.com/in/praveenmaddela/

Professional Summary

Analytical and detail-oriented Data Analyst with 2+ years of experience in business intelligence, SQL reporting, and data visualization. Proficient in manipulating large datasets, building dashboards, and generating data- driven insights to optimize performance. Experienced in partnering with cross-functional teams to translate complex data into actionable recommendations. Skilled in SQL, DBT, Python, R, and Tableau, with a strong understanding of regression, clustering, and predictive analytics. Technical Skills

Programming & Querying: SQL, Python, R, DBT

Data Visualization: Looker, Tableau, Power BI, Amplitude, Hex, Looker Studio Libraries & Tools: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn Databases: MySQL, PostgreSQL, Microsoft Access, Google BigQuery Data Concepts: Regression, Clustering, Predictive Modeling, A/B Testing, KPI Reporting Other Tools: Smartsheet, Salesforce, Jira, Microsoft Excel, Toast POS Professional Experience

Data Analyst

CM&D, New York, NY March 2025 – Present

• Partner with finance and operations teams to analyze project cost data using SQL and Excel, supporting strategic and financial planning.

• Develop interactive dashboards and performance reports to monitor KPIs and track progress toward business goals.

• Translate complex datasets into actionable insights for non-technical stakeholders, improving operational decision-making.

• Build predictive models in Python to forecast costs and identify trends, enhancing reporting accuracy by 18%.

Data Analyst

St. Joachim Catholic Church, California August 2024 – February 2025

• Automated bi-weekly financial reporting using SQL and Excel, reducing manual effort by 20+ hours weekly.

• Imported, cleaned, and analyzed donation data to identify key contributors and growth opportunities.

• Designed dashboards in Tableau to visualize contribution trends and performance metrics.

• Collaborated with leadership to translate analytical findings into data-backed recommendations. Programmer Analyst Trainee

Cognizant Technology Solutions, India February 2019 – December 2019

• Extracted, transformed, and analyzed large datasets to support project management and reporting functions.

• Built and maintained Tableau dashboards to visualize team performance and resource utilization.

• Wrote SQL queries to automate recurring business intelligence reports and ensure data accuracy.

• Partnered with internal stakeholders to define KPIs and improve dashboard usability. Projects

Customer Growth and Retention Analysis (eCommerce Simulation)

• Conducted customer segmentation and churn analysis using clustering and logistic regression.

• Created Tableau dashboards to visualize customer lifecycle metrics and campaign effectiveness. Return Prediction Analysis

• Built predictive models using logistic regression and random forest to predict product return likelihood.

• Analyzed performance drivers and provided data-driven recommendations for retention strategy improvement.

AI Adoption and Hiring Trends in Tech (GitHub Project)

• Scraped job postings using Python and analyzed AI-related hiring patterns across industries.

• Developed data visualizations in Tableau and Looker Studio to showcase insights on emerging tech roles.

Education

Master of Science in Data Science

Saint Peter’s University, Jersey City, NJ GPA: 3.7 / 4.0 Relevant Coursework: Machine Learning, Predictive Analytics, Cloud Computing, Big Data Analytics, Python for Data Mining

Bachelor of Computers and Economics

Kakatiya University, Warangal, India GPA: 7.0 / 10 Certifications

• Google Data Analytics Professional Certificate

• Forage Simulation: Data Analytics & Visualization (Accenture)

• Tableau Desktop Specialist (Coursera)

Core Competencies

Data Reporting • Business Intelligence • SQL Querying • Dashboard Development • Data Visualization • Performance Analytics • Predictive Modeling • Data Cleaning • KPI Measurement • Data Storytelling

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