
Elakkiya Senthil Kumar
@elakkiyasenthilkumar
I build machine-learning classifiers for healthcare and fraud-detection problems.
What I'm looking for
I'm pursuing Biological Sciences and Quantitative Finance at IIT Madras, where I apply machine learning to real-world classification problems.
I've built Random Forest models for credit card fraud and Parkinson's disease detection, achieving 93.4% and 94.8% accuracy respectively. I also developed an SVM leukemia subtype classifier with 93.3% test accuracy using gene-expression data and ANOVA feature selection.
Beyond coursework, I contribute to IIT Madras rocketry projects and lead the Institute Women's Volleyball Team. At Shaastra, I helped grow social media following by 35% and generated 230K+ organic impressions.
Experience
Work history, roles, and key accomplishments
Captain
IITM Volleyball Team
Apr 2026 - Present (6 months)
Appointed as the captain of the Institute Women's Volleyball Team for the academic year 2026–27. Leading the team in preparation for the upcoming Inter-IIT Sports Meet 2026.
Team Member
Team Abhyuday, CFI
Sep 2024 - Jul 2025 (10 months)
Contributed to the design and integration of Vritr's 4.8m airframe, ensuring optimal structural stability. Co-developed the recovery system design involving CO₂-based ejection and parachute reefing mechanisms.
Engage Coordinator
Shaastra
May 2024 - Jan 2025 (8 months)
Collaborated on a reel series as part of a 3-member PR team to boost Shaastra's digital reach. Boosted total social media following by 35%, including a 26% increase on LinkedIn, and achieved 230K+ organic impressions.
Volunteer
Team Abhyuday
Apr 2024 - Jul 2024 (3 months)
Contributed to the structural assembly of Chetak 2.0 airframe as part of IIT Madras's student rocketry team. Collaborated in a team that won On the Spot Recognition award for its innovative canard control system.
Volunteer
Shaastra Evolve
Nov 2023 - Jan 2024 (2 months)
Promoted Spotlight Lectures featuring eminent speakers and managed audience operations for lectures with 300+ attendees each. Contributed to achieving a total footfall of 3500+ during flagship events.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology, Madras
BS and M.Tech, Biological Sciences and Quantitative Finance
Grade: 8.52
Pursuing a BS in Biological Sciences and M.Tech in Quantitative Finance with a CGPA of 8.52, expected to complete in 2028.
Manav Sthali School, New Delhi
Class XII (CBSE), Science
Grade: 95%
Completed Class XII (CBSE) with 95% marks, ranking 1st in school in the Science stream.
Manav Sthali School, New Delhi
Class X (CBSE), General
Grade: 95.6%
Completed Class X (CBSE) with 95.6% marks.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
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