About

Smriti Tiwari is an upcoming Analyst at Fractal Analytics with a passion for exploring the domain of Financial Modeling, Quant Modeling, and Artificial Intelligence/Machine Learning-based financial solutions across Sustainability/ESG, Climate-related risk, Financial Risk & Compliance, Model Risk, Trading, and Investment Management. With a background in Integrated Masters in Mathematics and Computing from IIT Kharagpur, Smriti possesses knowledge of computational and ML methods, financial instruments, regulatory applications, programming languages such as Python, C++, R, JAVA, SQL, VBA, MATLAB, and tools such as Bloomberg, FINCAD, Quantlib, Tableau, Excel, and Stata, etc. Smriti's relevant experience of 1.20 years includes her role as a Data Analyst at Hummsafar, where she modeled Twitter Demographic analysis, streaming data from Tweepy API using significant features such as hashtags, connections, and emojis. She achieved an accuracy of 82% for age prediction with Keras DL model using language features and RF model for predicting gender and ethnicity. At Moneymatch, as a Data Science Intern, she built a Price Sensitivity Classifier with 79% accuracy for retail customers with XGBoost and hyperparameter tuning of demographic data with GridSearchCV, applied it for devising effective coupon allotment system and loyalty schemes for frequent transaction customers. She achieved 82% accuracy in probability prediction of Business churn modeled using Logistic regression and strategized business retention. Smriti is a Certification in Quant Finance, Quantitative Trading, and Risk Management candidate from CQF Institute, and she is expected to complete it in 2022. She also holds an Integrated Master's degree (B.Sc + M.Sc) in Mathematics and Computing from IIT Kharagpur. Smriti's tech stack includes ML, SQL, Keras, Normalization, Stemming, Bag of Words, Python, Java, Deep Learning, Data Scientist, XGBoost, and Hyperparameter.