An MLlib & PySpark implementation of audio recommendation system using
a collaborative filtering algorithm.
An attempt to use multilayer perceptron & convolutional neural networks for
building deep learning models.
An entity resolution technique using various classification models, feature
importances, and pairwise comparison.
A classification approach to strategize projected growths in user subscription.
A report on NLP techniques in analyzing differences between topics in
traditional newspaper (ie. The New York Times) and online platform (ie. Twitter).
A research paper on improving a fraud detection technique with Bayesian Nets,
kNN, and decision trees. The poster presentation can be found here.
A classification technique to predict text data and model semantic categories.
A linear model building to accurately predict a monthly apartment listing.
An Nonnegative Matrix Factorization (NMF) approach for classifying news topics.
An attempt to settle the age-old fight with data and D3.
A compilation of STAT GR5702 course assignments in descriptive statistics.
A data visualization to compare happiness across countries around the world.
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.
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.
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.
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.
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.
On a day-to-day basis, I play with Python and Git.
Columbia Business School, 2016
Georgia Institute of Technology, 2014
Society of Women Engineers, 2013
Shannon & Wilson, Inc., 2011
The International House, 2016
Georgia Tech Research Institute, 2014
Georgia Institute of Technology, 2012
Georgia Institute of Technology, 2011-2014
Seattle Colleges Foundation, 2011
Moorissa spent two weeks in rural areas of Cape Town to teach underprivileged kids math during summer 2017. More to come!Science, Math, Education, Volunteer, Social Good
Apart from crunching numbers during her internship at NBC Universal, Moorissa promotes the importance of technology for social good by spending free time helping organize social hackathons around the city. Responsibilities include events hosting, student recruitments, and corporate partnerships with IBM, Amazon, and API among many others.Hackathon, Social Good, Coding, Women Who Code
As part of the CDSS Executive Board, Moorissa shared her interest in improving data literacy with her graduate colleagues, faculty, and communities by helping organize data science workshops, hackathons, and panel talks around campus and New York City.Columbia University, Data Science, Graduate Life
In her spare time as a full-time analyst, Moorissa joined the United Nations Association of Atlanta (UNA) to support the sustainable development goals (SDG) in Atlanta. She later founded the UNA Young Professionals subchapter and selected as the youngest member to help navigate the organization in the Board of Directors. She helped lead and organize thirty-two board meetings and thirty events and drafted membership growth and retention strategies for the board, which resulted in 220% growth rate in new membership rates.
Special thanks to all UNA colleagues, volunteers, and many organizations: Alpha Kappa Alpha chapters in their UN classroom programs, Trees Atlanta and Captain Planet Foundation for volunteering opportunities, National Center for Civil and Human Rights for UN Day sponsorship, Kennesaw State University and Clarkston Career Information Fair for both educational and cultural partnership, and Peaceful Demonstration for workshops regarding abolition of genocide in Myanmar.United Nations, Sustainable Development Goals
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