About

Dhriti Das is a highly skilled Data Scientist with over 5 years of experience in the field of Data Science, Machine Learning, and Data Analysis. She is proficient in various machine learning algorithms such as NLP, PCA, SVM, Logistic Regression, Linear Regression, K-Means, KNN, decision tree, Random forest, XGBoost, and Forecasting. Furthermore, she is experienced in using programming languages such as Python, R, SQL, and Pyspark, as well as libraries such as Pandas, NLTK, Pytorch, Scikit, Numpy, Scipy, Matplotlib, and Keras. Currently, Dhriti is working as a Data Scientist 2 at iqvia where she has engineered CPA applications, predicted drug propensity on parallel imports using Multi-class RF for multiple countries, developed ensemble forecasting models using ARIMA, SARIMA, and Holt Winters for drug sales, and built Model Explainability applications to explain the working of models using SHAP. Previously, Dhriti has worked as a Software Engineer in the Applied AI ML Implementation Team at icertis, where she built a recommendation engine for multinational US-based healthcare, eCommerce, and cosmetics-related customers using Stanford Core NLP, NER, tf-IDF vectorization, and clustering. She has also worked as a Senior Machine Learning Engineer at persistent systems, where she was responsible for data extraction from various databases, data manipulation, data visualization in Python, R, and Excel, building predictive models based on multiple machine learning algorithms, and providing insights to management to help in strategic planning. Dhriti holds a Bachelor's degree in Computer Science from Rajiv Gandhi Prodyogiki Vishwavidyalaya and an HHSC degree in Physical Sciences from St. Joseph's Convent School, Jabalpur. Her tech stack includes ML, Data Scientist, NLP, Research Scientist, Python, SQL, SVM, XGBoost, Random Forest, Keras, Scikit, AI, Pandas, Pytorch, Software Engineer, and Seaborn. With her expertise and experience, Dhriti is an asset to any organization that values data-driven decision-making and is looking to harness the power of Machine Learning and Artificial Intelligence to drive growth and innovation.