Ishaan
Delhi, Delhi Division, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Immediate
Skills: Jupyter Notebooks, Matplotlib, NumPy, pandas, PostgreSQL, Python, Python3, R, scikit-learn
Previously worked at: Startups
Assessment Score: 100
- Educational Background and Academic Excellence
Pursuing an M.S. in Computer Science & Engineering at IIT Madras with a CGPA of 8.95/10, complemented by an M.Sc. in Statistics from Hindu College, University of Delhi (CGPA: 9.476/10), and a B.Sc. (Hons.) in Statistics from Ram Lal Anand College, University of Delhi (CGPA: 9.284/10), demonstrating a strong foundation in computer science and statistics. - Professional Experience in Academia and Teaching
Gained valuable experience as a Project Associate at IIT Madras (2021-2023), where responsibilities included content development for online statistics programs and team leadership in analyzing student data to improve engagement. Additionally, served as a Teaching Assistant at Chennai Mathematical Institute, assisting in course development and evaluation. - Research Expertise and Publications
Engaged in cutting-edge research, including the development of “TopKElim,” a multi-armed bandit-based ranking method for efficient candidate selection, as well as a first-author paper on online statistics learning published at the International Conference on Computers in Education 2022. Authored an undergraduate textbook on Probability and Probability Distribution, enhancing learning resources for students. - Machine Learning and Data Science Projects
Led various projects including a language transliteration model using RNN, GRU, and LSTM architectures, and a toxic comment classification model using NLP techniques, achieving a high F1 score. Also developed a fraud detection model utilizing over 6 million transaction records, demonstrating proficiency in practical data science applications. - Technical Proficiency in Data Science and Programming
Strong programming skills in Python, R, C++, and SQL, with expertise in machine learning tools and libraries such as Scikit-Learn, TensorFlow, PyTorch, NumPy, and Pandas, enabling effective implementation of data analysis and machine learning models. - Future Career Goals and Availability
Actively seeking full-time opportunities starting January 2025, with a strong passion for continuing to apply advanced data science techniques, machine learning methodologies, and statistical expertise to solve real-world problems and contribute to organizational success.