About
Highly analytical B.Tech Computer Engineering student with a strong foundation in data analysis, machine learning, and full-stack development, adept at leveraging SQL, Python, and Power BI to derive actionable insights. Proven ability to develop data-driven solutions, from session-based recommenders to IoT dashboards, with a keen interest in applying these skills to optimize digital advertising strategies and campaign performance.
Projects
Work
Delhi, Delhi, India
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Summary
Mentored over 20 students weekly in full-stack development, guiding them to successfully complete MERN stack projects and fostering practical coding skills.
Highlights
Guided 20+ students weekly through full-stack development principles, significantly enhancing their practical coding proficiency.
Enabled over 10 students to successfully complete MERN stack projects, translating theoretical knowledge into tangible applications.
Delhi, Delhi, India
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Summary
Directed creative design and brand management for 20+ tech events, developing over 100 digital assets and engaging 1,000+ attendees.
Highlights
Developed 100+ digital assets and managed comprehensive branding for over 20 tech events, attracting more than 1,000 attendees.
Ensured consistent brand representation across all visual communications, enhancing event visibility and participant engagement.
Delhi, Delhi, India
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Summary
Authored campaign posts and led content strategy for 5 flagship events, significantly boosting engagement and visibility for DTU's largest annual festival.
Highlights
Authored 10+ campaign posts and spearheaded content strategy for 5 flagship events, driving increased visibility and participation.
Contributed to the overall success and outreach of INNOVA DTU (INVICTUS Fest), the university's largest annual festival.
Delhi, Delhi, India
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Summary
Conducted advanced machine learning research for agricultural applications and systematized scientific insights for lab-wide utilization.
Highlights
Trained a tomato leaf disease detector leveraging ResNet50 + attention models, achieving 90.2% accuracy in disease identification.
Consolidated insights from 20+ research papers into reusable documentation, streamlining knowledge transfer and accelerating future research efforts.
Delhi, Delhi, India
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Summary
Developed and enhanced critical AWS IoT infrastructure, focusing on real-time data monitoring and system security for connected devices.
Highlights
Built a real-time AWS IoT dashboard to monitor and control 10+ connected devices with latency under 2 seconds, enhancing operational responsiveness.
Enhanced platform security by integrating reCAPTCHA and improved user experience via a multilingual interface, boosting system robustness and accessibility.