babak rafian machine learning / software engineer

About Me Projects Resume

My Expertise

Specializations are machine learning, data analysis and also very interested in related applications, and statistical modeling. I am on the fence between statistics and computer science, and consider myself somewhere between a data scientist and a software engineer. I am very interested in technologies for extracting and massaging data, and using data to paint a picture of some metric of interest. For me, a productive work environment is one where I am challenged daily in an intellectual sense. I love exploring new concepts, new applications and new technologies that I can integrate into my position. I crave a culture where I am part of an energetic team that values each other as team members and a culture that encourages creativity, leadership, teamwork, thinking outside of the box and is reasonably flexible with its team members' needs. Possible roles I would enjoy are, but not limited to: data scientist (with an emphasis on modeling and machine learning rather than analytics), machine learning engineer, Software engineer.

Code

Platform

Tools

Data

As a freelancer

I am equipped with wide variety of skills and experiences which can be beneficial for any type of businesses. I derive intelligence from raw data and build predictive models to help business owners make informed decisions. The followings are some of my past projects:

Featured Projects

mountains

The Money Game

  • Python flask
  • Android application
  • Ruby On Rails

An Android application to enable psychology researchers to survey vast and diverse number of participants. It gives the researchers the ability to manage the process easily and provides flexibility for participants to take the survey at their convenience.

Check it out

mountains

Yelp dataset challenge

  • Natural Language Processing
  • Singular Value Decomposition
  • Predictive Model Developing

To be able to classify user reviews and label them as positive or negative can be very helpful for businesses like Yelp.com to make better recommendations. In this project I used Yelp's user reviews and built classifiers to label each review.

Check it out

mountains

US Census Bureau Dataset

  • Feature Selection
  • Data Transformation
  • Data Mining

To find out which factors play important role in having high income, I analyzed the data gathered by the US Census Bureau. And I built several models to predict if a person with certain information have high income or low. The results are pretty interesting.

Check it out