Rahul Patel

About Me

I am curious about data and like leveraging it for meaningful business insights and drive decisions.

My current research interests lie into Artificial Intelligence and Natural Language Processing. I also have interests in studying large organizations and like keeping a track of recent technology trends.

I like reading and exploring emerging technologies over the internet.

Contact Details

Rahul Patel
Washington, D.C.

Download Resume

Education

Syracuse Univeresity

M.S. Information Studies, Data Science • May 2018

Master's Degree in Information Management with specialization in Data Science and Machine Learning.

  • • Advanced Information Analytics (Machine Learning)
  • • Applied Data Science
  • • Data Visualization
  • • Database Management & Data Warehousing
  • • Natural Language Processing
  • • Information Systems Analysis
  • • Text Mining

University of Mumbai

B.E. in Electronics & Telecommunications • May 2014

Bachelor's Degree in Electronics Engineering.

Work

Principal Data Scientist (July 2020- Present)

Senior Data Analyst (July 2018- June 2020)

Capital One • July 2018 - Present

  • - Data Science, Modelling and Analytics - Data Pipelines - Full-Stack development and automation - Project Management - Market Research

Graduate Research & Teaching Assistant

Syracuse University (Syracuse, NY)• August 2017 - May 2018

  • Teaching Assistant for graduate courses, IST 718: Advanced Information Analytics & IST 565: Data Mining.

Data Analyst Intern

Syracuse University: Office of Enrollment & Admissions (Syracuse, NY) • July 2017 - May 2018

  • Perform secondary market research and data-driven approach to solve research problems and generate informed decisions.

Data Science Intern

Byte Academy (New York, NY) • July 2017 - August 2017

  • Applied NLP and topic modelling algorithms to calculate TF-IDF as a part of experimental research.

Data Analyst

Amdocs • Oct 2014 - June 2016

  • My role consisted analyzing end-to-end payment workflow of the web-based application processes.
  • Developed scripts for repetitive procedures & implement them in live environment for automation.
  • Articulating client requirements and identify risk failures of payment channels.
  • Isolated bottlenecks, performed root cause analysis & independently managed major deployments.
  • Cleaned inconsistent data using imputation techniques to optimize the processes by 10%.
  • Developed interactive dashboards on Tableau to evaluate gaps and resolve performance issues .
  • Visualized customer data on R & Tableau to provide personalized analysis at a granular level.

Skills

The bars below represent the skills which I have acquired during my experience in the industry and those acquired as a part of my academic courses / self-interest.

The progress of the bars is just an indicator of the proficiency/depth of understanding I have about the language/subject, it is a little tough to quanitfy a skill in numbers.

  • Python
  • R
  • Spark
  • MS SQL Server (SSIS, SSAS)
  • SQL
  • HTML5/CSS3
  • Data Analysis
  • Data Mining
  • Machine Learning
  • Data Visualization
  • Data Warehousing
  • Natural Language Processing & Text Mining

Awards & Certifications

iSchool Excellence Graduate Scholarship

Syracuse University

Data Analysis on Hadoop

Lynda.com

NoSQL for SQL Professionals

LinkedIn>

Kafka Essential Training

LinkedIn

Tableau 10 Essential Training

Lynda.com

Google Analytics Individual Qualification

Google

R Programming Fundamentals

DataCamp & Coursera

Machine Learning

Coursera