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.
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.
Executive Member
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Summary
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.
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BS-MS
Mathematics and Computing
Grade: 8.278 CGPA
Courses
CSE-101 Data Structures and Algorithms
DAI-101 Data Science
MAC-102 Discrete Mathematics
IIT Guwahati Summer Analytics
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High School Diploma
Intermediate (Class XII)
Grade: 93.60%
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High School Diploma
Matriculate (Class X)
Grade: 94.40%
Awarded By
PaAC IITR
Achieved runner-up position in a competitive mathematics competition with over 100 participating teams.
Awarded By
Indian Olympiad Qualifier in Astronomy
Selected among 256 students out of 7970 nationwide for the second stage of the Indian Olympiad Qualifier in Astronomy.
Awarded By
Indian Olympiad Qualifier in Mathematics
Awarded for exceptional performance in the Indian Olympiad Qualifier in Mathematics.
Awarded By
Government of India
Received a prestigious fellowship for demonstrating academic excellence and research aptitude.
Awarded By
Codechef
Achieved a top global rank in a competitive programming contest on Codechef.
Awarded By
National Testing Agency, India
Secured a high rank among 200,000 top qualifiers in the advanced engineering entrance examination.
Awarded By
Codechef
Achieved a high global rank in a competitive programming contest on Codechef.
Awarded By
National Testing Agency, India
Achieved a top rank among 1.2 million candidates in one of India's most competitive engineering entrance exams.
Awarded By
Codeforces
Achieved a strong global rank in a competitive programming round on Codeforces.
Awarded By
Codeforces
Achieved a notable global rank in a competitive programming round on Codeforces.
C++, Python, LaTeX.
Numpy, Pandas, Seaborn, Matplotlib, Beautiful Soup, Scikit-learn, LightGBM, XGBoost, CNN, MobileNetV2, ResNet, SMOTE, SHAP.
Data Structures and Algorithms, Data Science, Discrete Mathematics, Classification, Regression, Risk Modeling, Ensemble Methods, Deep Learning, Computer Vision, Competitive Programming, Statistical Modeling.
Jupyter, Codeforces, Codechef, Online Judges.
Algorithmic Problem Solving, Data Structures, Online Contests.
Quiz Organization, General Knowledge, Inter-college Competitions.
Community Development, Rural Empowerment, Student-led Solutions.
Head of Department (Mathematics), IIT Roorkee. Contact information available upon request: maheshanand@ma.iitr.ac.in
Professor, IIT Roorkee. Contact information available upon request: ram.pandey@ma.iitr.ac.in
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Summary
Developed and optimized deep learning models for accurate white blood cell classification, enhancing diagnostic reliability through innovative ensemble 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.
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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.