My passion lies in harnessing the power of data to create better lives for all.

I believe in revolutionizing big data for sustainable development, be it in private industries, inter-governmental organizations, or public sector. My expertise and interests include statistical machine learning, data visualizations, and most recently computer vision and deep learning.

When I'm not playing with data, I enjoy painting, running, and spending quality time with loved ones. For more information, please contact me at moorissa.tjokro@columbia.edu.

Featured Work

Machine Learning

Building Spotify’s “Discover Weekly” with Spark

An MLlib & PySpark implementation of audio recommendation system using

a collaborative filtering algorithm.

Deep Learning with Keras

An attempt to use multilayer perceptron & convolutional neural networks for

building deep learning models.

Developing a Matching Algorithm

An entity resolution technique using various classification models, feature

importances, and pairwise comparison.

Direct Marketing Optimization using Mobile Data

A classification approach to strategize projected growths in user subscription.

Exploring Trending Topic Bias in News vs. Social Media

An NLP-based analysis of differences between topics in traditional newspaper

(ie. The New York Times) and online platform (ie. Twitter).

Leveraging Philanthropy Impacts with Data Mining

An overview of Beyond Profit Project sponsored by Bloomberg Philanthropies.

Making Boston Safer using Natural Language Processing

A set of classification methods to predict text data & model semantic categories.

Meta-Learning for Credit Card Fraud Detection

A research project on improving a fraud detection technique with Bayesian Nets,

kNN, and decision trees. The poster presentation can be found here.

Predicting NYC Renting Prices using Lasso Regression

A linear model building to accurately predict a monthly apartment listing.

Topic Modeling for The New York Times News Dataset

An Nonnegative Matrix Factorization (NMF) approach for classifying news topics.

Data Visualizations

Legacy of a Century: South Africa Today

A statistical attempt to explore the nation's journey after Nelson Mandela.

Comparing Marvel and DC Superheroes

An attempt to settle the age-old fight with data and D3.

Exploratory Data Analysis & Visualization Resources

A site repository for visualization resources using Javascript, HTML, CSS, & SVG.

How does Trump's budget cut affect you?

A report on the impacts of Trump's billion-dollar cuts in city transportation to

nationwide locations using R, Python, Carto, & Processing.

Ranking the Top 100 Sci-fi Books

Using D3 and Javascript to observe patterns.

Visualizations with R

A compilation of STAT GR5702 course assignments in descriptive statistics.

Visualizing the World's Poverty Rates

A small attempt to understand poverty rates using D3 & UN open source data.

What Makes Us Happy?

A data visualization to compare happiness across countries around the world.


Columbia University

M.S. in Data Science Exp. Dec '17

GPA: 3.7 / 4.0
Coursework: Machine Learning, Applied Machine Learning, Deep Learning & Neural Networks, Algorithms, Exploratory Data Analysis & Visualizations, Computer Systems, Bayesian Networks, Storytelling with Data, Tech Entrepreneurship.

Georgia Institute of Technology

B.S. in Industrial Engineering & specialization in Statistics May '14

GPA: 3.8 / 4.0 (Summa Cum Laude)
Relevant Coursework: Probability Theory, Statistical Inference and Modeling, Database Systems Design and Manipulation, Regression and Forecasting, Quality Control, Optimization, Reliability Engineering (graduate level), Stochastic and Queueing Theory.


NBC Universal - Comcast

Data Scientist Intern May '17 - Aug '17


Machine learning projects.

Columbia University

Graduate Teaching Fellow May '17 - Aug '17


Facilitate the graduate student learning through the Applied Analytics course (~140 students), covering knowledge in scenario modeling, pattern detection, A/B testing, cluster analysis, sentiment analysis, time series analysis, prediction, NLP and IR, graph and information network mining.

Target Marketeam

Data Analyst Jul '14 - Jun '16


Managed data warehouses, built statistical models, and developed interactive decision support tools for nation's leading nonprofits. Selected as a lead analyst to collaborate closely with Senior VP of Analytics and Head of Analytics in integrating strategy execution, methodologies, risk and analytics.

Heidelberg USA, Inc.

Logistics & Modeling Engineer Oct '13 - May '14


Developed a user interface for inventory optimizations, yielding an annual savings of $1.02M and 30% increase in the profit margin of the consumables business. Performed simulations, time series analysis, forecasting, and stochastic mixed integer programming to optimize distribution channels.

United Nations World Food Programme

Research Assistant Aug '13 - May '14


Constructed a multivariate hub model for Specialized Nutritious Foods with Dr. Nazzal and Spatial Risk Calendar (SPARC) team at WFP. Resulted in 30% decrease in malnutrition rates + commodity shortages across sub-Saharan regions, and model adoption by the Zambian Ministry of Health.

Georgia Institute of Technology

Computer Science & Statistics Teaching Assistant Dec '12 - Dec '13


Led weekly recitations, grade exams, and tutored students for Data Manipulation & Database Systems and Applied Statistics course (~650 students).


On a day-to-day basis, I play with Python and Git.

  • Python, Scikit-Learn, Spark, Keras
  • SQL, JavaScript, D3, HTML/CSS/SVG
  • R, Hadoop/MapReduce, Tensorflow
  • SAS, JMP
  • GIS, ArcGIS

Selected Honors

Columbia Impact Hackathon,
1st Place Winner

Columbia Business School, 2016

Helen Grenga Nominee for Outstanding Woman Engineer

Georgia Institute of Technology, 2014

Rockwell Automation

Society of Women Engineers, 2013

Shannon & Wilson Technology Scholar

Shannon & Wilson, Inc., 2011

Toyota Scholarship

The International House, 2016

President’s Undergraduate Research Award

Georgia Tech Research Institute, 2014

Faculty Honors

Georgia Institute of Technology, 2012

Dean's List

Georgia Institute of Technology, 2011-2014

Student Spotlight

Seattle Colleges Foundation, 2011


Fun Fact

Almost double-majoring with fine arts for my undergrad, I have definitely thought of getting some certification in painting one day!


  • It's the possibility of having a dream come true that makes life interesting.

    Paulo Coelho
  • If I had asked people what they wanted, they would've said faster horses.

    Henry Ford
  • We make a living by what we get. We make a life by what we give.

    Winston Churchill