Data Scientist

Resume posted by [email protected] in IT.
Desired salary: $100,000.00
Desired position type: Full-Time
Location: Fairfax Virginia, United States

Contact [email protected]


I am a graduate student at George Mason University pursuing MS in Computational Science and specializing in Data Science. I have experience of about two years in data analysis and research. I have soild data science background with high proficiency in Math and Statistics. Currently, I am searching for full-time opportunities and will be available to work for any company in the US from May 2018.


George Mason University, Fairfax, VA                                                 May 2018
Master of Science in Computational Science

University of Pune, India                                                                         Jun 2015
Master of Technology in Modeling and Simulation

University of Pune, India                                                                         Jun 2013
Bachelor of Engineering in Computer Engineering


  • Data Scientist Intern, Data Society, Washington D.C.
    Jun 2017– Oct 2017

As Data Scientist Intern, responsible for the creation of data science course material for the professional audience; worked in a small team and managed a team of two interns for exercise creation for the course.

Responsibilities included –
 Outlining the course flow for Data Science courses
 Creation of course content and exercises for advanced classification, clustering, time-series analysis and PCA
 Building a shiny dashboard using plotly, highcharter, leaflet and deployed on shiny server

  •  Data Analyst Intern, Indian Institute of Tropical Meteorology, India
    May 2014 – March 2016

As Data Analyst Intern, responsible for analyzing meteorological data and identifying relation between them; performing the comparison of different models based on various statistical methods for finding the similar pattern with an observation

Responsibilities included –
 Analyzing 9 years of Clouds, Rainfall and Sea Surface Temperature data to study time series
correlations, spatial correlations and finding dominant patterns using PCA
 Comparing 45 years of rainfall and Sea Surface Temperature data based on bias and seasonal cycles
 Presenting and discussing results with a group of scientists


  • R (4 years)
  • Python (1 Year)
  • SQL (1 year)
  • Matlab (1 year)
  • C (4 years)


    Classification, Clustering, Data visualization, Dimensionality Reduction, EDA, Feature Engineering, Model selection, Predictive modeling, Regression, Shiny

Spoken Languages

    English, Hindi, Marathi