RENUKA KUNIPALLI

Motivated student eager to apply classroom knowledge to real-world experiences, with a strong willingness to learn and contribute. Effective communicator with a collaborative mindset, ready to bring fresh perspectives and a strong work ethic to any team. Hardworking employee with customer service, multitasking, and time management abilities. Devoted to giving every customer a positive and memorable experience.

• AWS Solutions Architecture Virtual Experience Program – Forage (June 2025)
• Deloitte Data Analytics Virtual Experience Program – Forage (May–June 2025)
• Google Analytics Certification – Skillshop (2025)
• GenAI-Powered Data Analytics Virtual Experience – Forage (June 2025)
• Successfully completed 60% of the NPTEL course on Python Programming, gaining foundational knowledge and practical coding experience.

• Participated in AI/ML coding challenges and hackathons (e.g., Smart India Hackathon, online contests).
• Active member of the College AI/ML Club, contributing to group projects and knowledge sharing.
• Completed online certifications in Python and machine learning (Coursera, IBM, Google,deloitte).
• Volunteered in college-level events as an organizer and tech support team member.
• Created mini-projects using Python and shared them on GitHub (like chatbot, loan prediction, etc.).
• Attended webinars and workshops on Data Science, AI, and Deep Learning.

• Successfully completed 60% of NPTEL Python Programming course with hands-on practice.
• Completed a 3-month internship at Internz Learn, working on Python-based AI/ML projects.
• Completed a 3-month internship at SOLETE, working on web development-based AI/ML projects.
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A results-driven engineering student with a passion for problem-solving and innovation

• Analyzed historical Premier League data to extract insights on team performance, goals, and player statistics
• Used data visualization techniques to display trends and match outcomes.

2. Forecast E-commerce Sales
Python, Machine Learning (Linear Regression), Scikit-learn

• Built a predictive model to forecast sales using historical e-commerce data.
• Implemented preprocessing, feature selection, and model evaluation techniques for accurate forecasting.

3. AI Chatbot System
HTML, CSS, JavaScript, Python (Flask), NLP Concepts

• Developed a web-based AI chatbot capable of handling basic user queries using rule-based logic.
• Integrated with a backend using Flask and trained with sample intents using NLP techniques.

4. Netflix Clone
HTML, CSS, JavaScript

• Designed and developed a front-end Netflix-inspired clone with a modern UI/UX layout
• Implemented responsive design and interactive elements to simulate a real streaming platform interface.