Aspiring Data Scientist | Machine Learning Engineer
Roorkee, IN.
About
Highly motivated BS-MS student in Mathematics and Computing at IIT Roorkee, specializing in Data Science and Machine Learning. Proven ability to develop and optimize complex models for predictive analytics and classification, as demonstrated by projects achieving 98.7% accuracy in medical imaging and significant MAE reduction in flight delay prediction. Eager to leverage strong analytical, programming, and leadership skills to contribute to innovative data-driven solutions in the technology sector.
Volunteer
Executive Member
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Unnat Bharat Abhiyan, IIT Roorkee
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Led community development initiatives focused on education and rural empowerment, fostering social impact through student-led projects.
Highlights
Organized educational and empowerment activities for children in local government schools and facilitated women's self-help groups (SHGs).
Co-organized Sociothon, a hackathon to crowdsource innovative student-led solutions addressing local rural development challenges.
Education
Indian Institute of Technology, Roorkee
Roorkee, Uttarakhand, India
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BS-MSMathematics and ComputingGrade: 8.278 CGPA
Courses
CSE-101 Data Structures and Algorithms
DAI-101 Data Science
MAC-102 Discrete Mathematics
IIT Guwahati Summer Analytics
Himland Public School Dirba Distt. Sangrur (CBSE)
Sangrur, Punjab, India
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High School DiplomaIntermediate (Class XII)Grade: 93.60%
Gen Gurnam Singh Public School Sangrur (CBSE)
Sangrur, Punjab, India
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High School DiplomaMatriculate (Class X)Grade: 94.40%
Awards
Runner-up, Integration-Bee Competition
PaAC IITR
Achieved runner-up position in a competitive mathematics competition with over 100 participating teams.
Shortlisted for IOQA Part-II (INAO)
Indian Olympiad Qualifier in Astronomy
Selected among 256 students out of 7970 nationwide for the second stage of the Indian Olympiad Qualifier in Astronomy.
Merit Certificate in IOQM
Indian Olympiad Qualifier in Mathematics
Awarded for exceptional performance in the Indian Olympiad Qualifier in Mathematics.
INSPIRE Fellowship
Government of India
Received a prestigious fellowship for demonstrating academic excellence and research aptitude.
Global Rank 48 in STARTERS191
Codechef
Achieved a top global rank in a competitive programming contest on Codechef.
AIR 2304 in JEE Advanced 2023
National Testing Agency, India
Secured a high rank among 200,000 top qualifiers in the advanced engineering entrance examination.
Global Rank 275 in STARTERS164
Codechef
Achieved a high global rank in a competitive programming contest on Codechef.
AIR 1229 in JEE Mains 2023
National Testing Agency, India
Achieved a top rank among 1.2 million candidates in one of India's most competitive engineering entrance exams.
Global Rank 667 in Codeforces Round 1033
Codeforces
Achieved a strong global rank in a competitive programming round on Codeforces.
Global Rank 1008 in Codeforces Round 1016
Codeforces
Achieved a notable global rank in a competitive programming round on Codeforces.
Data Structures and Algorithms, Data Science, Discrete Mathematics, Classification, Regression, Risk Modeling, Ensemble Methods, Deep Learning, Computer Vision, Competitive Programming, Statistical Modeling.
Tools & Platforms
Jupyter, Codeforces, Codechef, Online Judges.
Interests
Competitive Programming
Algorithmic Problem Solving, Data Structures, Online Contests.
Quizzing
Quiz Organization, General Knowledge, Inter-college Competitions.
Social Impact
Community Development, Rural Empowerment, Student-led Solutions.
References
Maheshanand
Head of Department (Mathematics), IIT Roorkee. Contact information available upon request: maheshanand@ma.iitr.ac.in
Ram Krishna Pandey
Professor, IIT Roorkee. Contact information available upon request: ram.pandey@ma.iitr.ac.in
Projects
White Blood Cell Classification using CNN and Ensemble Methods
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Summary
Developed and optimized deep learning models for accurate white blood cell classification, enhancing diagnostic reliability through innovative ensemble techniques.
Credit Card Score Modeling via Classification & Risk Techniques
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Summary
Designed and implemented machine learning models to predict credit default risk, employing advanced techniques for imbalanced data and proactive risk mitigation.
Optimizing Air Travel through Flight Delay Prediction
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Summary
Developed advanced machine learning models to predict and mitigate flight delays using US airline data, focusing on operational efficiency and risk reduction.