Technical Project Manager with Data-Driven Expertise

Rohan PV

***************@*****.*** Ó +91-730******* LinkedIn Profile GitHub

Experience

Data Science & Machine Learning Intern OCT 2024 – SEP 2025

(Learnbay)

• Worked on developing and fine-tuning predictive models using Python, Pandas, and Scikit-learn, which helped me im- prove the prediction by 12%.

• Created Power BI dashboards to track important KPIs and automated some of the regular reports, cutting down man- ual work by roughly 30%.

• Collaborated with different teams to understand business needs and turn them into measurable data insights. Data Analytics Intern OCT 2025 – NOV 2025

(Unified Mentor)

• Created interactive dashboards and reports using Power BI/Excel to track KPIs and visualize trends effectively.

• Collaborated with cross-functional teams to clean, validate, and interpret data, ensuring accuracy and supporting busi- ness objectives.

Education

APJ Abdul Kalam Technological University

B.Tech, Computer Science and Engineering 2021 – 2024 State Board Of Technical Education

Diploma in Computer Hardware Engineering 2019 – 2021 Projects

Customer Shopping Behavior Analysis(E-commerce Domain)

• Performed a full cycle data analysis using SQL, Python, Power BI on retail transactions to uncover trends in customer spending, product preferences, and subscription behavior.

• Built interactive KPI dashboards that highlighted revenue insights, loyalty segments, and marketing opportunities for strategic decision making.

• Tech Used: Python, Pandas, SQL, Power BI, Excel, Data Visualization Coupon Recommendation System Using ML(Python, Scikit-learn, Random Forest classification)

• Developed a web app to predict coupon acceptance using a machine learning model in real driving scenarios using demo- graphic, behavioral, and contextual data

• Implemented an end to end machine learning pipeline using ColumnTransformer and a random forest model (80-20 split), achieving precision 93% and a 0.95 ROC AUC score. Stroke Prediction Using ML(Python, Django, ML, MySQL)

• Built a website for patients, doctors and admin where the patients could predict stroke and also book appointments

• Achieved 96% accuracy

• Random Forest Algorithm was used to predict the stroke using questionnaire responses. Technical Skills

Programming & ML: Python, C++, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Keras, PySpark, Time Series Databases & Analytics: Data Sources, Data Collection, Ingestion, Data Cleaning, Exploratory Data Analysis (EDA),SQL, MySQL, MongoDB, Power BI, Tableau, Advanced Excel

Web: HTML, CSS, WordPress, Streamlit, Model Deployment Technical Stack: AWS, Git, GitHub, Azure, Jira, Microsoft suite Certifications

Microsoft Azure Data Fundamentals (DP-900) Data Science and AI – IBM Project Management – Learntube Data Analytics Virtual Internship – Deloitte

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