Electronics & Communication Engineering graduate with strong passion for Data Engineering and Software Development. Skilled in Python, SQL, and cloud technologies (AWS) with hands-on experience in academic projects and internships involving ETL pipelines, data visualization, and predictive analytics. Adept at problem-solving, quick learning, and adapting to new technologies. Interested in pursuing opportunities as a Data Engineer, Data Analyst, or Software Engineer to apply technical knowledge and contribute to innovative solutions in fast-paced environments.
Spotify Data Analysis (2024–2025)
• Built SQL-based pipeline to analyze Spotify datasets (trends, genres, artist performance).
• Cleaned, processed, and queried large datasets to extract insights.
• Applied exploratory data analysis to correlate track popularity with features (tempo, energy, danceability).
Car Rental System (2023–2024)
• Developed Car Rental System using Java (Eclipse IDE) for bookings, returns, and inventory tracking.
• Automated manual processes, improving operational efficiency and user experience.
Stock Price Prediction (2022–2023)
• Designed predictive model using MATLAB for historical stock price forecasting.
• Applied regression and time-series techniques to identify market trends and price patterns.