Chinwendu Nweje: Innovating at the Crossroads of Data, Software, and Machine Learning
In a world increasingly powered by intelligent systems, Chinwendu (Wendy) Nweje is part of the new
Software Engineer
generation of engineers shaping the future of data-driven innovation. A Software Engineer at Goldman Sachs and a First-Class Computer Science graduate of Pan-Atlantic University, Wendy stands out for her ability to bridge data engineering, software development, and machine learning into impactful solutions.
Her career trajectory reflects a deep commitment to learning, innovation, and problem-solving. From developing machine learning models that classify banking errors to contributing to large-scale data engineering projects at one of the world’s leading financial institutions, Wendy’s journey is defined by curiosity, precision, and excellence.
Beyond her technical expertise, Wendy is also a Payaza Hackathon Grand Prize Winner, an award-winning public speaker, and a passionate mentor dedicated to helping others find their voice and confidence in the technology space.
PROFESSIONAL OVERVIEW
With hands-on experience spanning data science, frontend engineering, and data engineering, Wendy has developed the versatility needed to excel in modern tech ecosystems. Her technical toolkit includes Python, SQL, Java, JavaScript (React/Node), and Snowflake, along with frameworks like TensorFlow, Streamlit, and Scikit-learn.
She thrives on transforming data into insights, building intelligent systems, and designing user-centric applications that combine creativity with engineering excellence. Wendy’s mission is simple yet powerful — to build technology that’s not only efficient but meaningful.
CAREER EXPERIENCE SNAPSHOT
| Role / Position | Organization | Duration | Key Contributions & Achievements |
| Software Engineering Analyst | Goldman Sachs | Jul 2025 – Present | Developing scalable solutions and data-driven tools within the Data Engineering Division; optimizing processes to enhance system efficiency. |
| Software Engineering Summer Analyst | Goldman Sachs | Jun 2024 – Aug 2024 | Contributed to data engineering workflows; collaborated with global teams to deliver analytical and infrastructure improvements. |
| Fellow | Rewriting the Code | Oct 2023 – Present | Part of a global fellowship for women in tech; engaging in mentorship, leadership training, and professional development. |
| SEO Trainee | SEO Africa | Mar 2024 – Jul 2024 | Participated in intensive professional training designed for summer analysts in multinational organizations. |
| Data Scientist | Mono | Jul 2023 – Oct 2023 | Built a Bank Error Categorization Model; developed APIs for ML workflows; improved data integration and model testing efficiency. |
| Computer Science Tutor | Peer2Peer Tutorials | Mar 2022 – Jul 2023 | Provided academic tutoring and mentorship; designed structured teaching sessions for students in computer science courses. |
| Museum Tour Guide | Yemisi Shyllon Museum of Art | Apr 2021 – Jul 2023 | Delivered educational tours and managed event coordination; promoted cultural awareness and museum engagement. |
| Frontend Developer (Intern) | HNG Internship | Oct 2022 – Nov 2022 | Worked on frontend development projects; optimized user interfaces for accessibility and responsiveness. |
| Frontend Developer (Intern) | CrowdForce | Aug 2022 – Oct 2022 | Developed UI components and tested frontend features for fintech applications. |
| Development Intern | Convexity | Aug 2021 – Sep 2021 | Conducted quality testing for CHATS App; prepared user onboarding documentation; contributed to social media content strategy. |
EDUCATION & CERTIFICATIONS
| Institution / Program | Qualification / Focus Area | Year |
| Pan-Atlantic University (PAU) | Bachelor of Science (B.Sc.) in Computer Science – First Class Honours | 2019 – 2023 |
| DataCamp | Data Science in Python – Data Science Track | — |
| Loyola Jesuit College | High School Diploma | — |
CERTIFICATIONS:
- Data Science for Everyone (DataCamp)
- Data Analysis in Excel
- Intermediate SQL Queries
- Introduction to Data Science in Python
HONORS & AWARDS
- 🏆 Grand Prize Winner, Payaza Hackathon 2.0
- 🥇 1st Place Winner, PAU Inter-Departmental Debate Competition (2022)
CORE SKILLS & TECHNICAL EXPERTISE
- Programming: Python, SQL, Java, JavaScript (React, Node)
- Machine Learning: TensorFlow, Scikit-learn, Streamlit
- Data Tools: Snowflake, Pandas, NumPy
- Web Technologies: HTML, CSS, React.js
- Soft Skills: Leadership, Communication, Mentorship, Public Speaking
Chinwendu (Wendy) Nweje represents a rare blend of technical excellence and human-centered innovation. Her career is a testament to the impact of curiosity, consistency, and continuous learning. Whether she’s coding scalable software solutions, mentoring peers, or leading data-driven initiatives, Wendy brings intellect and empathy to every project she touches.
With a bright future ahead, she continues to inspire young women in technology — proving that innovation thrives where purpose meets skill.
🔗 Connect with Chinwendu (Wendy) Nweje on LinkedIn:
www.linkedin.com/in/chinwendu-nweje
