Christian Chidozie Anyanwu
Developer, Student, Creator
 GitHub Resume  LinkedIn

Personal Projects
(More projects can be found on my GitHub)

NeuroVec - Word Embeddings for Neuroscience

 Current - 2019

Tools: Python, Word2Vec, Glove, Big Data Analysis, NetworkX, Gephi

Utilizing NLP and data processing to conduct research on Word Embeddings for neuroscience.

Word embeddings used to research applications in categorization, summarization, and generation of neuroscience papers via Machine Learning.

Documentation Knowledge Graph of Computer Science

 November 2018

Tools: Python, NetworkX, Gephi

Created and analysed a network, in python, based off of the Computer Science Wikipedia page and all its links.
Used Wikipedia link structure to form graph and Gephi to display.

Documentation Psychology Support System Hackathon - October 2017

Tools: Java, Twilio, Multi-Threading

Created software to aid Psychiatrists in monitoring their patients through text based surveys.

ProjecTome
 November 2018 - Present

Tools: Java, Twilio

ProjecTome is a framework for responsive, long distance application management.
Using texts, users are able to send commands that are applied to long term applications like webscrapers and data processors.

Roles/Experience
IBM Extreme Blue Intern (Data Science) May 2019 – August 2019

Tools: Machine Learning, NLP (natural language processing), Spark, Docker, Data Analysis, Microservices, Containerization, Visualization, User Interviews

  • Architected, constructed, and tested a workflow intelligence product, utilizing machine learning, containerization, and data pipelines.
  • Implemented modern NLP (natural language processing) techniques to extract information from log data.
  • Constructed Machine Learning (ML) algorithms to automatically detect anomalies and detect the overall health of the system.
  • Utilized containerization (via Docker) to create a flexible and scalable microservice platform.
  • Visualized the product via an informative dashboard with configurable Slack/SMS alerts.
Cognitive Control Research Assistant October 2018 – Present
Tools: Matlab, Linux, Bash

Creating and running pipeline scripts to analyze fMRI brain imaging data.

Oncology Analytics Intern - Merck & Co. June 2018 - August 2018
Tools: Python, R, SQL, Java, Excel

  • Cleansed, Analyzed, and Reported on complex Oncology Electronic Health Record data (~1 million unique patients!)
  • Created pipelines and processes to automate data ingestion and analysis for continuous data reporting
  • Coordinated efforts to standardize and align data provided to Merck by multiple data vendors

Alzheimer's Research Assistant September 2017 – March 2018
Tools: Unity 3D Development Platform

Designed and Built a Virtual Environment to help study the effects of aging and Alzheimer’s on navigation strategies.

Applied Technology Intern - Merck & Co. June 2017 - August 2017
Tools: Python, Scikit_Learn, Java, Javascript

  • Developed a Support Vector Machine learning algorithm for discrimination of high dimensional website data.
  • Created a database to support data analytics efforts in global vaccines departments
  • Worked with multinational team to progress machine learning based server recovery system