Yuvan Lakhmani

Enthusiastic and driven B.Tech. (Information Technology) student at Manipal University Jaipur (7th semester), with a CGPA of 8.43. Combining strong academic performance with active volunteering experience, I bring proven leadership, effective communication skills, and technical expertise in AI, machine learning, and full-stack web development. Passionate about exploring emerging technologies, continuously expanding my skill set, and applying innovative solutions to real-world problems.

StockSense AI — forecasting market trends with AI-powered time series models (January 2025 – March 2025)

• Developed a Python-based stock price prediction system using time series forecasting techniques (ARIMA, moving averages).
• Utilized pandas, NumPy, and statsmodels for data preprocessing, feature engineering, and model training.
• Implemented data visualization and real-time trend analysis through interactive dashboards using Plotly and Dash.
• Integrated historical market data ingestion pipelines for automated model updates.

Newsly — Real-time, personalized news platform (July 2024 – December 2024)

• Built a full-stack news platform with Node.js (backend), SQL (database), and React.js (frontend).
• Designed RESTful APIs for article retrieval, category-based filtering, and search functionality.
• Implemented server-side caching and optimized SQL queries for faster content delivery.
• Created a responsive, mobile-friendly UI with real-time content updates using React state management.