Stock Prediction
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Summary
Developed a stock market prediction classification model using machine learning algorithms to generate trading signals.
A results-driven Computer Science student with a strong foundation in Machine Learning, Data Science, and Software Development, poised to deliver innovative solutions in data-intensive environments. Proven ability to optimize systems for 1M+ users, develop predictive models, and create comprehensive data insights, with upcoming experience at Amazon and a track record of leadership in technology initiatives.
Machine Learning Trainee
Bhopal, MP, India
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Summary
Engaged in an intensive machine learning program, applying advanced ML concepts to real-world datasets under Amazon scientists' mentorship.
Highlights
Completed an intensive 3.5-hour daily program focused on core ML concepts, including Supervised & Unsupervised Learning, Deep Neural Networks, and Generative AI with LLMs, under the direct mentorship of Amazon scientists.
Applied advanced techniques such as dimensionality reduction, sequential learning, and causal inference to real-world datasets, enhancing practical data-driven decision-making through hands-on labs and interactive Q&A.
Gained practical experience in applying theoretical ML knowledge to complex industry challenges, preparing for high-impact roles within the Amazon ecosystem.
Software Development Engineer Intern
Gurugram, Haryana, India
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Summary
Designed and optimized Cricket.one's in-house CMS, enabling scalable content publishing for over 1M users during high-traffic events.
Highlights
Designed, engineered, and optimized Cricket.one's in-house CMS, facilitating scalable publishing of cricket news, live scores, and match updates for 1M+ users during high-traffic events like IPL & World Cup.
Collaborated cross-functionally with product, design, and content teams to deliver new CMS features and improve performance through caching & database optimization.
Developed the website's WEB STORIES section, enhancing user engagement and content delivery for the platform's audience.
Tech Lead
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Summary
Led the planning and coordination of SECVIT 24, overseeing logistics and participant engagement for 300+ attendees.
Highlights
Led the planning and coordination of SECVIT 24, successfully engaging 300+ attendees and overseeing all logistics.
Delivered two high-impact cybersecurity workshops, enhancing practical skills for participants.
Coordinator, Cricket Team Vice Captain
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Summary
Coordinated university-level cultural and major campus events, efficiently managing logistics and engagement.
Highlights
Coordinated university-level cultural and major campus events at VIT Bhopal, efficiently managing logistics and engagement.
Served as Vice Captain for the Cricket team, demonstrating leadership and teamwork, and awarded Gold Medalist in Aarambh Inter-Sports Cricket Tournament.
Core Member HR Team
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Summary
Organized and facilitated Data Science Club events, technical workshops, and community service initiatives.
Highlights
Organized and facilitated Data Science Club events, technical workshops, and community service initiatives, fostering data literacy and collaboration.
Contributed to the club's mission by actively promoting data science awareness and skill development among students, aligning with strategic objectives.
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Bachelor of Technology
Computer Science and Engineering
Grade: CGPA: 8.70
Awarded By
Flipkart
Achieved semifinalist status in Flipkart Grid 7.0, a prestigious Pan-India technology hackathon, demonstrating advanced problem-solving and technical skills.
Awarded By
VIT Bhopal Cultural and Sports Events
Awarded Gold Medalist in the Aarambh Inter-Sports Cricket Tournament for outstanding performance and leadership as Vice Captain of the Cricket team.
C++, Python, JavaScript, HTML, CSS.
Scikit-Learn, Pandas, NumPy, Matplotlib.
MySQL.
GitHub, Excel, Power BI.
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Summary
Developed a stock market prediction classification model using machine learning algorithms to generate trading signals.
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Summary
Developed a Power BI dashboard for cricket match and player data analysis, providing informed insights into performances and outcomes.
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Summary
Developed an end-to-end interactive Power BI dashboard for real-time inventory and supply chain analysis, demand forecasting, and supplier performance.