Ishaan
New Delhi, Delhi, India
Experience: 0 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Jupyter Notebooks, Matplotlib, NumPy, pandas, PostgreSQL, Python, Python3, R, scikit-learn
Previously worked at: India-based Companies
Assessment Score: 100
- Academic Excellence in Computer Science, Engineering, and Statistics
Currently pursuing an M.S. in Computer Science and Engineering at IIT Madras with a CGPA of 8.95/10. Holds an M.Sc. in Statistics from Hindu College, University of Delhi, graduating with a CGPA of 9.476/10, and a B.Sc. (Hons.) in Statistics, ranking first in the second and third years, with a CGPA of 9.284/10. - Research and Publications in Statistical Education and Algorithms
Developed TopKElim, a multi-armed bandit-based ranking algorithm to identify top candidates efficiently, demonstrating superior performance on synthetic and real-world datasets. Published a first-author paper on uncovering conceptual gaps in online statistics education using Extended Matching Questions, presented at the 30th International Conference on Computers in Education 2022. Authored a widely-used undergraduate textbook on Probability and Probability Distribution for IIT Madras’s BS Data Science program. - Professional Experience in Education and Content Development
Worked as a Project Associate at IIT Madras, leading content development for online statistics programs, optimizing course material, and enhancing student engagement. Gained teaching experience as a Teaching Assistant at the Chennai Mathematical Institute, assisting in lesson planning and evaluation for a master’s course in Probability and Statistics. - Strong Project Portfolio in Machine Learning and NLP
Delivered impactful projects such as a language transliteration model using RNNs, GRUs, and LSTMs, achieving 40% accuracy in English-Hindi transliteration, and a toxic comment classification model with an F1 score of 0.98. Developed a fraud detection model analyzing over 6 million transactions, achieving high precision in identifying fraudulent activities. - Comprehensive Technical Skill Set for Data Science and Machine Learning
Proficient in Python, R, C++, SQL, and machine learning tools like TensorFlow, PyTorch, NumPy, and Scikit-learn. Skilled in data preprocessing, statistical modeling, and building scalable machine learning solutions for real-world applications. - Aspiring Full-Time Professional with Advanced Problem-Solving Abilities
Strong foundation in data science, machine learning, and statistics, with a proven track record of impactful projects and publications. Demonstrates excellent teamwork, leadership, and adaptability, ready to contribute to innovative and data-driven solutions from January 2025.