Ravit Thapar

About Ravit Thapar

Data Enthusiast with a proven track record of delivering strong statistical insights and analysis in high-growth and competitive environments resulting in the increased ease of business and optimized platform operations.A strong engineering professional with a Master\'s Degree focused in Data Science & Analytics from Carnegie Mellon University, I am passionate about leveraging data science to build cool technology solutions improving products and services for the customers by using advanced analytics, standing up big-data analytical tools, creating and maintaining models, and onboarding compelling new data sets.An avid learner by nature, I try to find interesting ways to solve problems through the intelligent use of Data and Design. AREAS OF EXPERTISE• Data Management and Predictive Modelling• Data Visualization and Reporting• Requirement Gathering and Consulting• Strategic Planning and Implementation• Team Building and Leadership• Healthcare Analytics, Customer Analytics, Marketing and RetailTECHNICAL SKILLS• Python, SQL, R/RStudio, Git/GitHub/GitLab, Unix/Linux• Machine Learning and Computer Vision• Neural Nets and Deep Learning• Hyperparameter Optimization• Big Data and Cloud Computing• Statistics and Mathematics Connect with me at r•••••@alumni.cmu.edu / r••••••••@gmail.com.

Experience

1. Business Intelligence Engineer

   Amazon

   Oct 2022 — Present

Education

• Ryan International School

  High School, Computer Science

  1992 — 2006

• Guru Gobind Singh Indraprastha University

  Bachelor’s Degree, Computer Science and Engineering

  2006 — 2010

• Carnegie Mellon University

  Master’s Degree, Management Information Systems, General

  2016 — 2017

Skills

• Amazon Ec2
• Data Wrangling
• Sdlc
• Database Development
• Requirements Analysis
• Html
• Data Modeling
• Principal Component Analysis
• Pl/Sql
• Javascript
• Anomaly Detection
• Eclipse
• Statistics
• Collaborative Filtering
• Databases
• Data Science
• Microsoft Azure
• Agile Methodologies
• Data Munging
• Sql
• Recommender Systems
• Android Development
• Feature Selection
• Data Analysis
• Java
• Amazon Web Services (Aws)
• Software Development
• Classifiers
• Python
• Unsupervised Learning
• Node.js
• Dimensionality Reduction
• Exploratory Data Analysis