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Elakkiya Senthil KumarEK
Looking for a job

Elakkiya Senthil Kumar

@elakkiyasenthilkumar

I build machine-learning classifiers for healthcare and fraud-detection problems.

India
Message

What I'm looking for

I'm looking for an opportunity to apply machine learning, statistics, and Python to meaningful problems in healthcare, finance, or biological data.

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

IT
Current

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.

SH

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.

TA

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.

SE

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 logoIM

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.

MD

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.

MD

Manav Sthali School, New Delhi

Class X (CBSE), General

Grade: 95.6%

Completed Class X (CBSE) with 95.6% marks.

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