Shreejesh Shrestha

I am a Computer Science Engineering student at Nitte Meenakshi Institute of Technology (NMIT), dedicated to bridging the gap between raw data and strategic decision-making. My core expertise lies in Statistical Modeling and Data Analytics, with a focus on building robust, scalable solutions using Python, R, and Java. I view data as more than just numbers on a spreadsheet; I see it as a roadmap for solving complex real-world problems. Whether I am analyzing disease spread patterns or optimizing backend logic, my goal is to extract meaningful insights that lead to measurable impact. Core Technical Competencies: Analytical Stack: Statistical Modeling, Data Visualization, and Trend Forecasting (Python, R). Engineering Foundations: Data Structures, Algorithms, and UNIX Environments. Programming Proficiency: Python, R, Java, C, and JavaScript. Key Career Highlights: Smart India Hackathon (SIH) 2025: Successfully collaborated in a high-intensity environment to develop innovative technical solutions for industry-level problem statements. Advanced Data Projects: Engineered a Python-based analysis of infection trends, implementing rigorous data cleaning and predictive visualization techniques. Career Objectives: Currently seeking a Data Analysis Internship where I can contribute to high-impact projects, refine my analytical methodologies, and support a team in making data-driven advancements. I am committed to continuous learning and the pursuit of technical excellence in the field of AI and Data Science.