Machine Learning Data Analyst

RISHITHA BOMMINENI

Hayward, California +1-510-***-**** *****************@*****.*** Linkedin:linkedin.com/in/rishitha-bommineni EDUCATION

California State University, East Bay,Hayward, California Master’s in Computer Science GPA: 3.7/4.0 August 2023–May 2025 Courses:Database Systems, Machine Learning, Web Systems TECHNICAL SKILLS

Programming Languages:Python, SQL

Libraries/Tools: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn Web Technologies:HTML, CSS

Development Tools:Jupyter Notebook, Visual Studio Code, Git, Excel, Power BI, Tableau WORK EXPERIENCE

Data Analyst Intern

3CORTEX Technologies—Hyderabad, India June 2022–October 2023

● Conducted comprehensivedata analysison retail sales datasets to identify patterns in customer behavior, product sales, and revenue trends.

● Cleaned and processed raw data usingPython(Pandas), addressing missing values, correcting date formats, and creating new metrics such as total transaction value.

● Designed and implemented relational databases, loading cleaned data intoMySQLandPostgreSQLto enable efficient data querying and reporting.

● Developed advancedSQLqueries to analyze peak sales periods, best-performing product categories, and payment method preferences across multiple locations.

● Created dynamic dashboards inPower BIto present key performance indicators, including branch revenue, product sales trends, and customer activity metrics.

● Utilized Excel for data exploration, generating summary reports and pivot charts to validate findings and support decision-making.

● Delivered actionable insights on high-performing branches and optimal staffing times to support operational planning and inventory management.

● Maintained detailed documentation of analytical processes, methodologies, and results to ensure clarity and reproducibility.

PROJECTS

Sales Insights Dashboard

● Designed and implemented a dynamic dashboard usingPower BIto help hardware companies improve decision-making in a rapidly changing market.

● Extracted, cleaned, and transformed sales data usingSQLto identify revenue trends, YOY growth, and regional performance variations.

● Created visualizations to highlightKPIsand trackbusiness performancemonthly and quarterly.

● Enabled business stakeholders to act on data insights, contributing to a projected7%revenue increase in the following quarter.

E-Commerce Data Analysis

● Collected and cleaned e-commerce sales data usingPython (Pandas), ensuring accuracy across customer orders, product details, and sales records for reliable analysis.

● Analyzed sales trends and created visual reports withSeaborn and Matplotlibto provide actionable insights for marketing and customer targeting strategies.

Contact this candidate