Data Scientist

• Jul 2019 - Present

Analytics Student Consultant

• Jul 2018 - May 2019

• Developing a live KPI dashboard to boost the revenue of food and beverages department of a leading hospitality giant through floor occupancy prediction, inventory recommendation (association rule mining) and fraud detection• Improved profitability of a leading hospitality and entertainment business by designing a demand forecasting model for resource allocation based on redefined customer segments obtained through clustering (ensemble models in python)• Formulated recommendations for… • Developing a live KPI dashboard to boost the revenue of food and beverages department of a leading hospitality giant through floor occupancy prediction, inventory recommendation (association rule mining) and fraud detection• Improved profitability of a leading hospitality and entertainment business by designing a demand forecasting model for resource allocation based on redefined customer segments obtained through clustering (ensemble models in python)• Formulated recommendations for Mall of America (Gift stores) to boost sales and increase operational efficiency through inventory optimization (association rule mining) and staffing optimization (staff attribute clustering)• Built a social media influencer identification framework using AWS technologies (Kinesis, S3, RDS) and Spark to analyze marketing campaign effectiveness and influencer sentiment on twitter streaming data• Demonstrated live industry hiring trends in a Tableau dashboard through text analysis of job postings data scraped from indeed.com for competitor analysis (python packages - Scrapy, Nltk and Tabpy) Show more Show less

Graduate Research Assistant

• Aug 2018 - Mar 2019

Established data collection process and collaboratively designed the research experiment that aimed to assess customer experience of app-based rides while working as a graduate research assistant (Information and Decision Sciences Dept.)

Decision Scientist

• Jun 2017 - May 2018

Trainee Decision Scientist

• Jun 2015 - May 2017

Project Intern

• Aug 2014 - Mar 2015

Deployed a project 'Limelight' 'Limelight' is a web app which predicts the success of an upcoming feature film in terms of the gross box office collection ( in US dollars) and critics rating (out of 10). The web app also supports prediction with custom classical factors input (actor, director etc.)The web app considers classical factors of a movie ( such as cast, directors, genre, no of theatres) and the social anticipation of the movie on social media such as YouTube and… Deployed a project 'Limelight' 'Limelight' is a web app which predicts the success of an upcoming feature film in terms of the gross box office collection ( in US dollars) and critics rating (out of 10). The web app also supports prediction with custom classical factors input (actor, director etc.)The web app considers classical factors of a movie ( such as cast, directors, genre, no of theatres) and the social anticipation of the movie on social media such as YouTube and Wikipedia.The WebApp was built using R, Python, HTML5 and shiny server and packages Shiny and NetworkD3.The tool uses principles of predictive analytics for the functionality. Show more Show less

Chairperson - MIT Texephyr

• Jun 2012 - Mar 2015

Orchestrated functioning of the entire national level technical event Texephyr'15 of MIT, Pune.Responsibly supervised the work of Organizing committee of Technical event at MIT, Pune-Worked as chairperson of the organizing committee in 2014-15-Worked as marketing and PR team member in 2013-14-Worked as volunteer in 2012-2013