Summary
Overview
Work History
Education
Skills
Websites
Additional Information
Timeline
Hi, I’m

Sunday Okechukwu

Data Scientist
Silver Spring,Maryland
Sunday Okechukwu

Summary

Enthusiastic Data Scientist eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Motivated to learn, grow and excel in data science field. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.

Overview

3
years of professional experience

Work History

American University
Washington DC, Washington DC

Graduate Research and Teaching Assistant
08.2022 - Current

Job overview

  • Assisted a professor in gathering data, performing feature extraction using TFIDF, Word2vec, Bag of words, BERT etc on a machine learning project that aims at countering contemporary antisemitism using deep learning.
  • Participated in lesson planning, curriculum implementation and class preparation and conducting office hours for students.
  • Automated grading of assignments using Python which saved time by 10%.
  • Prepared lessons according to course outline to convey required material and deepen student understanding of subject matter

Fidelity Bank plc
Kofo Abayomi, Victoria Island Lagos, Nigeria

Data Analyst
08.2019 - 07.2022

Job overview

  • Used statistical methods to analyze data and generate useful business reports.
  • Utilized data visualization tools to effectively communicate business insights.
  • Identified, analyzed and interpreted trends or patterns in complex data sets.
  • Automated data collections processes which increased efficiency by 20%.
  • Participated in requirements meetings to understand business needs.

Education

American University
Washington DC, United States Of America

Master of Science from Data Science
08.2022 - Current

University Overview

  • Received Merit Graduate Scholarship Award
  • GPA 4.0
  • Relevant Coursework:
  • CSC-680 - Data Mining / Machine learning
    DATA-612 - Statistical Programming in R
    STAT-614 - Statistical Methods
    DATA-641 - Applied Natural Language Processing (NLP)
    DATA-613 - Data Science
    STAT-615 - Regression
    CSC-613 - Database Management System

University of Nigeria Nsukka
Enugu, Nigeria

Bachelor of Engineering from Electronic Engineering
07.2015

University Overview

Skills

Proficient:

  • Python, R, SQL
  • Scikit-learn, Tensorflow, Keras and PyTorch
  • Data mining / Machine Learning
  • Pandas, Numpy, Matplotlib and Seaborn
  • Data wrangling (gathering, assessing and cleaning messy or dirty and untidy data)
  • Hyperparameter Tuning (GridSearchCV, RandomizedSearchCV)
  • Handling Imbalanced data using (SMOTE)

Moderate:

  • Power BI and ggplot2
  • Statistical Methods, Hypothesis testing, ANOVA etc
  • A/B tests

Additional Information

Additional Information

Linkendin Profile: https://www.linkedin.com/in/sunday-okechukwu-msc-747485184/

Github Profile: https://github.com/

Medium Profile: https://medium.com/p/c670ce484a30

Projects

Classification of Disaster Messages: https://medium.com/p/c670ce484a30

  • In this project, I applied supervised machine learning techniques and analytical mind to help classify disaster messages.
  • First and foremost, I explored the messages and categories data to learn how they were recorded. Next, I applied a series of transformations and preprocessing techniques to manipulate the data into a workable format.
  • I then evaluated several Supervised learners of my choice (Support Vector Machine, Decision Trees, Random Forest Trees and AdaBoost) on the data and considered which is best suited for the solution.
  • Afterwards, I optimized the model I selected using the GridSearchCV. Finally, I explored the chosen model and its prediction under the hood to see how well it is performing.

Analyzed Bike Share Systems in the US: https://github.com/Sunday-Okey/Bike-Share-Project

  • I used Python to explore data related to bike share systems for three major cities in the United States — Chicago, New York City, and Washington.
  • I wrote code to import the data and answer interesting questions about it by computing descriptive statistics.
  • Finally, I also wrote a script that takes in raw input to create an interactive experience in the terminal to present these statistics to the user audience.

Wrangle and Analyze Data: https://github.com/Sunday-Okey/Udacity_Data_Wrangling_Project

  • Gathered data from a variety of sources and in a variety of formats (TSV, CSV, JSON, flat files etc) including Tweet API JSON data using Python Tweepy library and assessed the data for quality and tidiness issues.
  • Merged and cleaned the master data, stored the dataframes into csv and visualized the data using Python libraries.

Timeline

Graduate Research and Teaching Assistant
American University
08.2022 - Current
American University
Master of Science from Data Science
08.2022 - Current
Data Analyst
Fidelity Bank plc
08.2019 - 07.2022
University of Nigeria Nsukka
Bachelor of Engineering from Electronic Engineering
Sunday OkechukwuData Scientist