Data Analyst Visualization

SANJANA MENDADALA

Data Analyst

**********.*@*****.*** 762-***-**** https://www.linkedin.com/in/sanjana-mendadala/ Austin, Texas

OBJECTIVE

Data Analyst with around 3 years of experience using statistical analysis, data mining, and data visualization to drive business decisions. Proficient in SQL, Python, and Tableau. Proven ability to translate complex data into actionable insights and communicate findings to stakeholders.

SKILLS

Programming Languages: Python, R, SQL(Advanced), MATLAB.

Data Visualization: Tableau, Power BI, Matplotlib.

Database Management: MySQL, PostgreSQL, MS SQL Server.

Data Analysis: Data Wrangling, Statistical Analysis, Predictive Modeling.

Tools: Excel (Advanced), Jupyter Notebook, SPSS, Google Analytics.

Communication & Collaboration: Stakeholder reporting, Presentation of insights, Cross-functional teamwork, Academic research collaboration, Report development and dissemination, Faculty collaboration.

PROFESSIONAL EXPERIENCE

Cars 24: Data Analyst Jan 2021– Jun 2023

Hyderabad, India

Developed predictive pricing models using Random Forest & Regression, improving price accuracy by 20%, leading to higher conversion rates.

Built automated SQL pipelines to extract, clean, and analyze customer transaction data, reducing data processing time by 40%.

Created Tableau dashboards to track key KPIs across business units, leading to a 15% improvement in operational efficiency.

Conducted A/B testing and statistical analysis using SPSS and Python to optimize marketing campaigns, resulting in a 10% increase in customer engagement.

Collaborated with cross-functional teams to streamline data workflows, reducing reporting errors by 25%.

Performed trend analysis and data forecasting to support business decisions, contributing to a 12% increase in sales revenue.

Implemented machine learning algorithms for customer segmentation, resulting in more targeted marketing and a 20% increase in customer retention.

Led quarterly performance reviews with stakeholders, delivering actionable insights that helped improve product offerings and services.

Auburn University at Montgomery June 2024 – May 2025

Graduate Research Assistant

Conducted data analysis and built predictive models using Python, R, and MATLAB to support various academic research projects.

Designed surveys and experiments, using Power Query and Excel to clean and validate large datasets to ensure high-quality, accurate data for analysis.

Created interactive dashboards and reports with Tableau and Power BI, presenting key research insights in a clear, visually engaging format.

Led research into startup ecosystems in the Philippines and Japan, analyzing factors like success drivers, policy impacts, and growth strategies through surveys and interviews with key stakeholders.

Co-authored a research paper on mobile wallet technology, contributing insights into adoption trends, security issues, and the impact on financial inclusion.

Worked closely with faculty and international teams to provide data-driven insights that shaped policy recommendations and contributed to published research.

EDUCATION

Master’s in information technology, Auburn University at Montgomery, AL

Graduation: May 2025

GPA: 3.9/4.0

Relevant coursework: Data Analysis for managers, Applied Business and Data Analytics, Data Systems, Data Analytics for Competitive Advantage, Machine Learning, Deep Learning, Python.

Project:

Deep Learning Computer Vision Project (A) – Auburn University at Montgomery

Collected, cleaned, and processed a large public image dataset to develop an image classification solution using MobileNetV2 and transfer learning in TensorFlow.

Conducted statistical analysis and model evaluation using Python, R, and MATLAB to identify trends and improve accuracy.

Built interactive dashboards in Tableau and Power BI to communicate insights and model performance to both technical and non-technical stakeholders.

Collaborated in a cross-functional academic team, contributing to a research paper and poster presentation Insights praised for clarity, organization, and practical relevance.

Applied best practices in data quality monitoring, model efficiency, and visualization throughout the project lifecycle.

Awards & Honor:

Bill & Lana McNair Scholarship (2024)

Received a prestigious scholarship for outstanding academic performance, leadership contributions, and research involvement.

Beta Gamma Sigma - International Business Honor Society (2025)

Inducted into Beta Gamma Sigma, the global honor society recognizing top business students worldwide, based on academic achievements in the top 20% of the graduate program.

CERTIFICATION (PROFESSIONAL DEVELOPMENT)

Google Data Analytics Professional Certificate – Nov 2024.

Career Essentials in Data Analysis – Microsoft – July 2024.

Data Analytics Bootcamp: Code Basics – In Progress – 2025.

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