Ohamadike Emmanuel Chidera
I'm a junior Software Developer & Data Science student.
I am actively seeking flexible or remote Data Science roles where I can apply my analytical and technical skills.
About Me
My name is Ohamadike Emmanuel Chidera. As a recent graduate in Computer Science, I have gained strong expertise in IT infrastructure, incident management, and data science. Skilled in Python, Java, and C++, I am adept at programming, data analysis, and software development. My experience as a Teaching Assistant has enhanced my leadership, problem-solving, and teamwork abilities. I am eager to contribute to innovative projects and drive meaningful progress in diverse industries.
Languages
Python
MySQL, PostgreSQL
C#, C++
Java, JavaScript
Libraries proficient
Numpy, Pandas
SCSS
NLTK, scikit-learn,
jQuery, GSAP, Three.js, Swiper.js
findmy, pyicloud_ipd, Streamlit(UI)
Areas of Interest
Machine Learning
Graph Models & knowledge Graphs
NLP
Data Analytics & Mining
Web Development
Data Science & AI
Education
2020 - 2024
Catholic University of Ghana, Fiapre.
BSc In Computer Science.
2017-2018
Pacnodim Comprehensive Secondary School Umuduru Eziani, Ihiala, Anambra State Nigeria.
Computer Science & Mathematics.
2008-2016
Divine International Primary & Secondry School Abidjan, Côte d'Ivoire..
Computer Science & Mathematics.
My Projects
Sentiment Analysis-Based Election Prediction System
The Sentiment Analysis-Based Election Prediction System is a web-based application aimed at improving election forecasting through social media analysis. Often, individual comments on social media are overlooked and not utilized for analytical purposes. Given that election outcomes significantly impact organizations and nations, this project seeks to provide precise and effective election predictions by analyzing anonymous comments, CSV data files, and social media data collected via the X API.
Clinical-Rotation-Management-Web-App
This web-based system is designed to streamline and enhance the management of students' clinical rotations during their practicum. It automates scheduling, attendance tracking, performance evaluation, and document management, improving efficiency and reducing administrative workload. Key features include student and supervisor management, real-time progress tracking, notifications, and reporting tools. The system ensures transparency, data security, and scalability, making it a reliable solution for managing clinical training programs.
Twitter-Driven-Voting-System
By harnessing the collective wisdom of online communities, this innovative system empowers users to participate in various voting processes, ranging from opinion polls to community-driven initiatives. Through the integration of advanced data analytics and sentiment analysis algorithms, the platform provides valuable insights into public opinion trends and preferences, enabling stakeholders to make informed decisions.
Netflix Clone (Work in Progress)
This project is a Netflix-inspired clone featuring a responsive landing page and login page. Built using HTML, CSS, and JavaScript, it replicates the sleek UI of Netflix, including dynamic layouts, stylish animations, and a user-friendly design. The project is still a work in progress, with plans to expand it by adding authentication, a movie catalog, and interactive features.
Find My iPhone Web App
This web-based tracking application helps users locate their iPhone using iCloud credentials or IMEI. Built with Python, Streamlit, and Google Maps integration, the app fetches real-time location data via pyicloud_ipd and findmy libraries. It displays the phone’s exact location, IMEI, and serial number on an interactive map. The project is still a work in progress.