About Me

  • Full Name:Nitin Bhandari
  • Phone:+1 (650) 880-7721
  • Gmail:nitinbhandari.cs
  • Address:San Francisco, CA

Hey There, Welcome.

We live in an era where DATA is more valueable than Gold, Money or Oil and it's extremely exciting. Started as Software Engineer with couple of related internships, headed for my Master's in Computer Science in Kansas City, the world of DATA intrigued me and as I dove deeper in DATA Quest with Big Data Courses, I introduced myself to AI. Now, an AI/ML and Data Science enthusiast, I am excited to make contributions to open sorce projects and hope to build a Autonomous Car in near future

As a former Table Tennis State Player, I enjoy a game in between my work, likes to swim and keep myself updated with latest amazing technologies. Love to connect with great minds.

My Resume

  • Work Experience

  • Application Engineer

    Clickfox Inc. - Denver, CO - Jun 2018 - Current

    - Contributed majorly to clients using Clickfox’s Big Data Analytic Products while working with DevOps and Dev teams

    - Decreased case response/completion-time and successfully achieved terms met under SLAs with clients

    - Led team in handling Data Ingestion (ETL), font-end (UI), database SQL issues while performing UAT Testing

  • Software Engineer / Machine Learning Engineer Intern

    Hungry? LLC - KCMO, US - Dec 2017 - May 2018

    - Led team in developing Recommendation Algorithm and tuned hyperparameters to achieve F1-accuracy of 72%

    - Developed databases for app, populating them by fetching, cleaning data from Google Maps and Foursquare APIs

  • Software Engineer Intern

    Perpetual Innovation Media Pvt. Ltd. - J&K, India - Jan 2016 - May 2016

    - Researched and developed system for automatic identification of named entitles using NLTK

    - Developed software for Performance Insight(http://pi360.net), an analytic framework for academia

  • Education

  • Masters Degree, Computer Science, CGPA: 3.82/4.00

    University of Missouri-Kansas City - 2016 - 2018

    Coursework: Neural Networks, Cloud Computing, Parallel Computing, Advance Software Engineering, Design and Analysis of Algorithms, Principles of Big Data, Software Methods and Tools

  • Machine Learning Engineer Nanodegree

    Udacity | Georgia Institute of Technology - 2017 - 2018

    Capstone Project: Named Entity Recognition Using CRFs

  • Bachelors Degree, Computer Science, CGPA: 3.50/4.00

    Model Institute of Engineering and Technology - 2012 - 16

    Coursework: Design and Analysis of Algorithms, Network Architecture, Software Method and Tools


Machine Learning Algorithms75%
Data Analysis80%


The best way to learn is build stuff, fail, get back and teach others.

Check my projects on GitHub

Got Ideas, Opportunities?

I'd love to connect!

Let's Connect