As a B.Tech Computer Science undergraduate, I proficiently utilize Java, Python, SQL, HTML/CSS, with core competencies in data analytics, data engineering, web development, and object-oriented programming. Winner of Smart India Hackathon 2023, I drive innovation in software and data engineering.
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• Analyzed social media data from platforms such as Facebook, Twitter, and Instagram,
resulting in a 20% increase in
engagement rates and a 15% improvement in audience reach.
• Contributed to data-driven initiatives to integrate social media insights into
business strategies.
• Streamlined team coordination and event management processes, optimizing resource allocation and ensuring seamless execution of events, achieved a 30% increase in event attendance and positive feedback.
• Executed seamless management of a diverse team, consisting of 10+ members, and orchestrated impactful technical workshops, resulting in a notable 25% increase in audience participation.
• Designed user-centric graphics resulting in a 25% increase in user engagement and a 20%
rise in brand recognition.
• Implemented interface enhancements based on user psychology principles, leading to a
30% decrease in bounce rates.
Hours Worked
Lines of Code
Projects Created
Hackathons Won
• Developed a web-based portfolio utilizing HTML, CSS, and JavaScript to
accentuate professional proficiencies, resulting in a 40% increase in online
visibility and engagement.
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• Conducted comprehensive data collection, cleaning & preprocessing of
data.
• Performed exploratory data analysis to uncover insights and trends.
• Visualized the data using Power BI for dynamic dashboard creation.
• Resulted in actionable insights & performance metrics, facilitating
informed decision-making & business growth opportunities.
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• Designed an end-to-end Twitter data pipeline leveraging Python, Apache
Airflow, and AWS services, including EC2
and S3, to extract, transform, and store real-time Twitter data for
analysis.
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• Developed a Random Forest Classification machine learning model to predict
heart disease.
• Analyzed CSV datasets using NumPy, Pandas, and Scikit-learn for feature
selection and model training.
• Achieved around 90% maximum accuracy in heart disease prediction,
enhancing healthcare predictive capabilities.
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• Developed a Virtual Reality application for the Ministry of AYUSH,
Government of India, aiming to assist medical students
of 400+ ayurveda colleges of India. The application offers immersive
experiences within the human body, showcasing
a 20% surge in user engagement due to clean user interfaces and the
integrated voice/textual support contribute to a 15%
enhancement in overall user experience satisfaction.
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• Designed user-centric graphics resulting in a 25% increase in user
engagement and a 20% rise in brand recognition.
Implemented interface enhancements based on user psychology principles,
leading to a 30% decrease in bounce rates.
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DESIGNS
Attained national recognition by winning among 500+ competing teams in the Smart India Hackathon, organized by the Ministry of AYUSH, Government of India.
Completed a 6-month long accelerator program, incubated at Harvard University, Massachusetts. Collaborated within a cohort of 100+ members to solve problems through case-based exercises and received career coaching to develop a structured thinking mindset.