Data Science & Analytics Intern, Dashboard Developer

PUSHPAK SUNIL RANE

San Francisco, CA — 530-***-**** — ****************@*****.*** — linkedin.com/in/pushpakrane EDUCATION

California State University, Chico Aug 2020 - July 2026 Master of Science in Data Science and Analytics

Savitribai Phule Pune University Dec 2021 - Jun 2024 Bachelor of Engineering in Computer Engineering

PROFESSIONAL EXPERIENCE

Research & Engagement Coordinator — First Year Experience - CSU, Chico Jan 2026 - Present

• Analyzed 1,000+ student survey records across 4 FYE programs (561 Town Hall, 414 Summit, 354 Sense of Place, 159 course responses) using Python, and Qualtrics/Excel data to clean datasets.

• Segmented 414 Summit submissions by pre-close vs post-close timing, finding 96% (398) before deadline and 4% (16) after, with 96% completion and peak response times between 4–7 PM MT.

• Built a 5-tab Streamlit dashboard with Plotly charts, year/term filters, and session-level views (180, 123, and 111 responses across 3 Summit exports) to share survey results with non-technical stakeholders.

• Completed EDA and open-ended response review across multi-semester datasets, delivered chart exports and 5+ evidence- based Summit recommendations, and produced written reports to support FYE program. Data Analytics Intern – Tableau Dashboard Development — CSU, Long Beach June 2025 - Mar 2026

• Developed an interactive Tableau dashboard analyzing 924 manuscript submissions across 7 relational datasets, enabling data-driven evaluation of editorial performance from 2021–2025.

• Designed and implemented 10+ interactive visualizations including trend analysis, acceptance-rate tracking, outcome seg- mentation, scatter plots, and demographic dashboards using Tableau.

• Built KPI-driven reporting solutions tracking submission volume, acceptance rate, and average decision time, while implement- ing dynamic filters for article type, editor, outcome, and demographic categories.

• Generated actionable insights from editorial data by identifying submission trends, topic-level patterns, workflow efficiency indicators, and demographic representation metrics, supporting strategic decision-making and reporting. PROJECTS

Job Market Analysis Dashboard with API Integration

• Built a real-time job market dashboard by integrating thousands of live job listings using the Adzuna API, enabling automated salary trend analysis and skill-demand reporting across multiple industries.

• Developed dynamic filtering systems and implemented salary trend analysis with in-demand skill extraction, utilizing interactive Plotly visualizations to present data insights in a clear and actionable format.

• Managed and maintained source code using Git version control, supporting collaborative development workflows and ensuring organized project tracking throughout the development lifecycle. Real-Time Automatic License Plate Detection and Recognition (ALPR) using YOLOv8

• Built an end-to-end ALPR pipeline in Python using YOLOv8, OpenCV preprocessing, and EasyOCR/Tesseract to accurately detect and extract license plate text from images.

• Trained and evaluated YOLOv8n on a 24K-image dataset, reporting key performance metrics including mAP@0.5, precision, and recall to validate model accuracy.

• Developed an interactive Streamlit dashboard to automate reporting workflows, significantly reducing manual analysis time. Speed Breaker & Lane Detection using Machine Learning for Autonomous Vehicles

• Performed data collection and preprocessing to ensure high-quality inputs, improving overall machine learning model perfor- mance and reliability.

• Trained CNN for speed breaker and lane marking detection, achieving 95% accuracy on test data.

• Collaborated with cross-functional team to integrate the CNN solution into an autonomous vehicle system, ensuring seamless end-to-end functionality.

SKILLS

Data Analytics & Reporting: SQL, Excel, Power BI, Python, R, Tableau, Streamlit, Qualtrics, GitHub Data Management: Data Cleaning, Data Validation, Data Collection, ETL, Statistical Analysis and Reporting, Data Visualization Machine Learning: TensorFlow, PyTorch, NumPy, YOLOv8, CNN, Pandas

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