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Work Experience
Data Scientist Intern
Ryerson• June 2022 - August 2022
• Worked with the core natural language processing team to develop, debug, and implement an NLP model to automate reading emails and scarping in required information from it thereby reducing human efforts by almost 70%. • Improved the accuracy of email classification from 85% to 92% through feature engineering and regularization techniques. • Collaborated with stakeholders to tune models, interpret results and create presentation materials suitable for decision support at senior and executive management levels. • Experience cleaning data and prototyping and fine-tuning state of the art deep learning models with deep learning and traditional NLP libraries like transformers, spaCy, gensim, and NLTK. • Experience with NLP technique such as word embeddings, word2vec, GloVe, NLTK, OpenNLP. Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection.
Data Scientist
Kangaroo Software• June 2020 - July 2021
• Developed and improved existing Machine Learning Model to find out customer churn ratio and reduced it by 7%. • Experimented with various ML models from Random forest, Logistic regression and CNN to achieve an accuracy of 89%. • Maintained relational database of 40,000 students using SQL queries to analyze, and interpret data from company’s website and created interactive Tableau dashboards for upper management to produce insights and build strategies. • Collaborated with clients to best understand their operational and strategic needs in terms of data analysis. • Increased customer response by 12% by identifying users' potential interests and running targeted marketing campaigns.
Education
University of Houston
Data Science, MS• August 2021 - May 2023
MIT, Manipal (Manipal Institute of Technology)
Automobile Engneering, B.Tech• August 2016 - May 2020