Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Timeline
Generic

Sunday Okechukwu

SILVER SPRING,Maryland

Summary

Motivated and data-driven individual with a strong passion for data science, seeking an internship position to further develop skills and gain practical experience in the field. Possesses a solid foundation in data analysis, statistical modeling, and machine learning, with proficiency in Python, R, SQL, and data visualization tools. Quick learner with excellent problem-solving skills and a strong ability to work collaboratively in a fast-paced environment. Dedicated to leveraging data-driven insights to solve complex business problems and drive meaningful outcomes.

Overview

4
4
years of professional experience

Work History

Graduate Research and Teaching Assistant

American University
08.2022 - Current
  • Conducted comprehensive data analysis on a large dataset, extracting meaningful insights and identifying patterns that contributed to the successful completion of a research project.
  • Implemented advanced data preprocessing techniques, including feature engineering and data scaling, to improve model performance and achieve a 20% increase in prediction accuracy for a research project.

Data Science Intern

Fidelity Bank
08.2019 - 07.2022
  • Conducted sentiment analysis on social media data to analyze customer feedback, providing actionable insights for product improvement and resulting in positive feedback from stakeholders.
  • Designed and implemented a data visualization dashboard using Tableau, effectively communicating complex data findings to stakeholders and facilitating data-driven decision-making.
  • Developed a recommendation system using collaborative filtering techniques that improved user engagement by 30%, resulting in increased user satisfaction and retention.

Education

Master of Science - Data Science

American University
Washington, DC
05.2024

Bachelor of Science - Electronic Engineering

University of Nigeria Nsukka
Enugu, Nigeria
07.2015

Skills

  • Python, R, SQL
  • Data manipulation, Numpy, Pandas
  • Matplotlib, Seaborn, Plotly, or Tableau
  • Machine learning, Tensorflow, Keras and PyTorch
  • Deep Learning (RNN and CNN)

Accomplishments

Projects
Neural Machine Translation:

https://github.com/Sunday-Okey/NLP_Project_Machine_Translation/blob/master/Project_02.ipynb

  • In this project I built a deep neural network that functions as part of an end-to-end machine translation pipeline. The pipeline accepts English text as input and return the French translation. I was able to explore several recurrent neural network architectures and compare their performance.

Misinformation Detection.

https://github.com/Sunday-Okey/NLP_Project_Machine_Translation/blob/master/NLP_Pipeline.ipynb

  • I Implemented advanced word representation techniques using word embeddings, Glove and built a misinformation detection system using both traditional machine learning and deep neural network.

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 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 file formats TSV, CSV, JSON, flat files etc including Tweet API JSON data using Python Tweepy library and accessed the data for quality and tidiness issues.
  • Merged and cleaned, visualized and extracted insight from the data using various Python libraries.

Timeline

Graduate Research and Teaching Assistant

American University
08.2022 - Current

Data Science Intern

Fidelity Bank
08.2019 - 07.2022

Master of Science - Data Science

American University

Bachelor of Science - Electronic Engineering

University of Nigeria Nsukka
Sunday Okechukwu