Data Science & ML Specialist with Python, SQL, Power BI

Rohan PV

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

introduction

Graduate of computer science with hands on experience in Data Science, Machine Learning, and data driven problem solv- ing through internships and real-world projects. Proficient in Python, SQL, PowerBI, and cloud technologies, with a strong ability to build predictive models, automate processes, and deliver impactful business insights. Passionate about leveraging technology and data to solve complex challenges while continuously learning and adapting to new tools and domains. Technical Skills

Programming & ML: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, PySpark 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, Model Deployment

Technical Stack: AWS, Git, GitHub, Azure, Jira, Microsoft suite 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. 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 Certifications

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

• 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.

• Tech Used: Python, Scikit-learn, Random Forest classification Stroke Prediction Using ML

• 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.

• Tech Used: Python, Django, ML, MySQL, Random Forest classification

Contact this candidate