Gunjan Desai

Applied Data Science Research Assistant

New York University•  March 2020 - Present

• Preprocessed and performed EDA on huge Time-series and Geolocation dataset for Alibaba eCommerce website to share digital marketing insights. • Researched to create marketing funnel and analyzed user shopping patterns using novel techniques based on Deep and Machine Learning. • Leverage multi view learning algorithms to form single view embeddings with deep understanding of predictive modeling concepts. • Fine-tuned NLP Fast Text and BERT model to find similarity between user’s offline location and online website visits. • Slashed the performance using DeepFM model as compare to the Linear Regression and XGBoost implementation by 15% consistently.

Data Science Research & Development Intern

GlaxoSmithKline•  July 2020 - Present

• eQBA Pharmaceuticals: Automated the data flow of data analytics environment by using Hadoop R&D Information Platform. • Phased the development of the visualizations within Next Gen eQBA architecture using live traceable data from the relevant sources. • Built information links and dashboards to monitor the product performance and ensure success on technical and business level.

Graduate Teaching Fellow

New York University•  January 2020 - Present

• Courses taught: Artificial Intelligence, Natural Language Processing, Financial Statement Analysis using Python. • Conducted independent sessions to mentor students to optimize the learner engagement. Prepared course material and assessment.

Data Science ML Intern

Prospect 33•  April 2020 - August 2020

• Covid’19 County-level Prediction and Simulation: https://covidcountysim.org/ • Researched SIR Simulation model to compartmentalize stages of covid’19. Scrapped the data from web, processed it and performed EDA. • Developed and deployed Machine Learning Forecasting tool to predict three months pandemic in the U.S. and increased company’s productivity. • Performed large scale data analysis and routine communication of the development status to CEO and senior leadership.

Technology Leadership Intern

Resideo Technologies•  March 2020 - May 2020

• Developed a Deep Learning Object Detection model that performs Edge Detection, Surface Detection for UGV using R-CNN.

Lead Software Data Engineer

Tata Consultancy Services, National Stock Exchange of India •  July 2017 - June 2019

• Coordinated Operational Data Source team and designed, developed, tested and deployed a critical trading production Surveillance application. • Developed and Boosted the performance of a Rule Engine that generate alerts on real-time unethical trading data by 15%. • Performed end to end analysis of trading data and generated Price Flex and Breakout alerts on a deviation in the normal trading price. • Optimized Postgres SQL queries to improve the performance by 15 sec. Excelled NSE Certification in Financial Markets (NCFM) with 96%.

New York University (NYU), New York

Data Science, MS•  September 2019 - Present

• Coursework: Data Science, Statistics, Deep Learning, Finance, Artificial Intelligence, Natural Language Processing, Big Data, Databases.

University of Mumbai

Computer Science, BE•  August 2013 - June 2017

• Coursework: Data Mining, Statistics, Linear Algebra, Programming Languages.