Krrish Jindal

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

Unnat Bharat Abhiyan, IIT Roorkee
|

Executive Member

Roorkee, Uttarakhand, India

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.

Education

Indian Institute of Technology, Roorkee
Roorkee, Uttarakhand, India

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

Himland Public School Dirba Distt. Sangrur (CBSE)
Sangrur, Punjab, India

High School Diploma

Intermediate (Class XII)

Grade: 93.60%

Gen Gurnam Singh Public School Sangrur (CBSE)
Sangrur, Punjab, India

High School Diploma

Matriculate (Class X)

Grade: 94.40%

Awards

Runner-up, Integration-Bee Competition

Awarded By

PaAC IITR

Achieved runner-up position in a competitive mathematics competition with over 100 participating teams.

Shortlisted for IOQA Part-II (INAO)

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.

Merit Certificate in IOQM

Awarded By

Indian Olympiad Qualifier in Mathematics

Awarded for exceptional performance in the Indian Olympiad Qualifier in Mathematics.

INSPIRE Fellowship

Awarded By

Government of India

Received a prestigious fellowship for demonstrating academic excellence and research aptitude.

Global Rank 48 in STARTERS191

Awarded By

Codechef

Achieved a top global rank in a competitive programming contest on Codechef.

AIR 2304 in JEE Advanced 2023

Awarded By

National Testing Agency, India

Secured a high rank among 200,000 top qualifiers in the advanced engineering entrance examination.

Global Rank 275 in STARTERS164

Awarded By

Codechef

Achieved a high global rank in a competitive programming contest on Codechef.

AIR 1229 in JEE Mains 2023

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.

Global Rank 667 in Codeforces Round 1033

Awarded By

Codeforces

Achieved a strong global rank in a competitive programming round on Codeforces.

Global Rank 1008 in Codeforces Round 1016

Awarded By

Codeforces

Achieved a notable global rank in a competitive programming round on Codeforces.

Skills

Programming Languages

C++, Python, LaTeX.

Data Science & Machine Learning Libraries

Numpy, Pandas, Seaborn, Matplotlib, Beautiful Soup, Scikit-learn, LightGBM, XGBoost, CNN, MobileNetV2, ResNet, SMOTE, SHAP.

Core Concepts & Methodologies

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

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

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

Summary

Developed advanced machine learning models to predict and mitigate flight delays using US airline data, focusing on operational efficiency and risk reduction.