About

Roshan Fande is a seasoned Senior Executive Data Scientist with 3.78 years of experience in the field. Currently, he is associated with CitiusTech, where he specializes in Natural Language Processing (NLP). Roshan has a strong background in Mathematics, Statistics, Optimization Techniques, Machine Learning, and Deep Learning algorithms. He has published his own package on Python environment to reduce manual work for data pre-processing and developed the best model with optimized parameters. Roshan has previously worked as a Machine Learning Intern at CRISIL, where he developed an Automated Machine Learning Credit Decisioning Validation tool. He implemented advanced Machine Learning techniques, monitored model validation and development, and coded in Python and Python Dash. He was also a Quantitative Analyst at CRISIL Global Research & Analytics, where his primary focus was on applying Machine Learning techniques in Financial Risk domains, especially in Credit Risk. He has in-depth knowledge about low default portfolio modeling for PD LGD and EAD estimation and scorecard for retail as well as wholesale portfolios. Roshan completed his Bachelor of Engineering in Electrical Engineering Technologies/Technicians from Shri Sant Gajanan Maharaj Engineering College, Shegaon, in 2017. He then pursued Centre for Modelling and Simulation from Savitribai Phule Pune University in Data Science, Machine Learning, and Mathematical Modelling. Roshan is proficient in various technologies such as Data Scientist, ML, Python, NLP, Deep Learning, Research Scientist, SQL, Scikit, Docker, Keras, OpenCV, Spark, AWS, Jupyter, XGBoost, Random Forest, Seaborn, Hyperparameter, Tokenization, Stemming, Corpus, Stop Words, Image Processing, TensorFlow, Pandas, Neural Networks, Search, Flask, and Web.