An MLlib & PySpark implementation of audio recommendation system using
a collaborative filtering algorithm.
An entity resolution technique using various classification models, feature
importances, and pairwise comparison.
A classification approach to strategize projected growths in user subscription.
An overview of Beyond Profit Project sponsored by Bloomberg Philanthropies.
A research project on improving a fraud detection technique with Bayesian Nets,
kNN, and decision trees. The poster presentation can be found here.
A linear model building to accurately predict a monthly apartment listing.
An attempt to use multilayer perceptron & convolutional neural networks for
building deep learning models.
An NLP-based analysis of differences between topics in traditional newspaper
(ie. The New York Times) and online platform (ie. Twitter).
A set of classification methods to predict text data & model semantic categories.
An Nonnegative Matrix Factorization (NMF) approach for classifying news topics.
A statistical attempt to explore the nation's journey after the life of Nelson
Mandela. Please open the link using Chrome on your desktop.
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.
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
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.
Data Scientist Intern • May '17 - Aug '17
Performed statistical inference, sampling methods, multivariate analyses, and supervised learning for modeling and extracting insights from high dimensional Nielsen data. Developed aggregation algorithms, automated an R&D process, and built visualization tools using Spark & Python.
Graduate Teaching Assistant• May '17 - Aug '17
Facilitated 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.
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.
Data Science Institute, 2017
Columbia Business School, 2016
Georgia Institute of Technology, 2014
Society of Women Engineers, 2013
Shannon & Wilson, Inc., 2011
The International House NY, 2017
The International House NY, 2016
Georgia Tech Research Institute, 2014
Georgia Institute of Technology, 2012
Georgia Institute of Technology, 2011-2014
Seattle Colleges Foundation, 2011
Moorissa spent a couple weeks assisting and teaching Pre-Grade R and Grade R students in Khayelitsha, one of the poorest neighborhoods in South Africa.
As a lifetime advocate for education, she also took part in helping schools and educare centers provide after school programs, which play a role in boosting students' academic performance, reducing risky behaviors, promoting physical health, and providing a safe, structured environment for the children.Education, STEM, Social Good, Sustainable Development Goal
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 was 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!