Kushagra Sisodia

Aspiring Machine Learning Engineer | Data Scientist

Bhopal, IN.

About

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.

Work

Amazon

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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.

Parth Universal Pvt.Ltd (Cricket.one)

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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.

Volunteer

Tech Lead

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VIT Bhopal Student Chapter

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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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VIT Bhopal Cultural and Sports Events

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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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Data Science Club

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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.

Education

Vellore Institute of Technology, Bhopal

Bhopal, MP, India
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Bachelor of Technology Computer Science and Engineering Grade: CGPA: 8.70

Awards

Semifinalist, Flipkart Grid 7.0

Flipkart

Achieved semifinalist status in Flipkart Grid 7.0, a prestigious Pan-India technology hackathon, demonstrating advanced problem-solving and technical skills.

Gold Medalist, Aarambh Inter-Sports Cricket Tournament

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.

Skills

Programming Languages

C++, Python, JavaScript, HTML, CSS.

Data Science & ML Libraries

Scikit-Learn, Pandas, NumPy, Matplotlib.

Databases

MySQL.

Tools & Platforms

GitHub, Excel, Power BI.

Projects

Stock Prediction

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Summary

Developed a stock market prediction classification model using machine learning algorithms to generate trading signals.

Cricket Data Insights

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Summary

Developed a Power BI dashboard for cricket match and player data analysis, providing informed insights into performances and outcomes.

Inventory & Supply Chain Analysis

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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.