I am a passionate Data Analyst with a strong foundation in data science, analytics, and software development. My journey began with a deep interest in the power of data to solve complex problems and drive strategic decision-making. I have extensive experience working on various data analytics projects, contributing to open-source initiatives, and participating in hackathons.

Over the years, I have honed my skills in Python, SQL, R, and various data analysis tools and frameworks. My focus is on creating impactful data-driven solutions that optimize processes, improve decision-making, and generate actionable insights.

• GitHub Univ. Hackathon (Mar 2024): Secured 2nd Place, demonstrating strong coding and problem-solving skills in a competitive environment.
• Smart India Hackathon (Dec 2023): Team Lead and 2nd Place winner, where I led a team to develop innovative solutions for national challenges.
• Open Source Projects (Mar - Dec 2023): Regularly contributed to enhancing and fixing open-source projects, emphasizing collaboration and community engagement.
• Deep Datathon (Nov 2023): Achieved 1st Place, excelling in data analysis and showcasing advanced data science skills.
• Central for Xtended Reality (CXR) Hackathon (May 2023): Developed an AR/VR project focused on mental health, securing 1st Place.

• Languages and Developer Tools: Python, SQL, R, JavaScript, C++, Git, Docker, VS Code
• Technologies: AWS Cloud (EC2, S3, Lambda, Glue, Athena, QuickSight), LLMs, Generative AI, Big Data, Analytics

• Data Analysis for Smart India Hackathon: Developed data-driven solutions to address national challenges, leveraging advanced analytics and data visualization techniques.
• Open Source Contributions: Contributed to several open-source projects, focusing on improving data processing pipelines and enhancing analytical capabilities.
• Deep Datathon Project: Analyzed complex datasets using machine learning models and statistical methods to derive insights and optimize decision-making.
• AR/VR Mental Health Project: Created an immersive AR/VR solution to support mental health awareness and engagement, incorporating real-time data analysis and visualization.