# Oheneba Berko > SWE @ Open Trellis | Educator | Computer Science @ University of Richmond Location: Brooklyn, New York, United States Profile: https://flows.cv/oheneba I am a Computer Science graduate from the University of Richmond with minors in Entrepreneurship and Mathematics, combining technical expertise with a strategic business mindset to drive impactful solutions. My experience spans software development, data science, and business consulting, enabling me to bridge the gap between complex technical challenges and high-level strategic goals. I thrive in dynamic environments where I can design and implement innovative systems, optimize processes, and lead cross-functional initiatives. Passionate about leveraging technology for meaningful impact, I am committed to leveraging my problem-solving abilities, analytical thinking, and leadership skills to drive innovation, shape transformative solutions, and contribute to the advancement of technology and business on a global scale. ## Work Experience ### Educator @ Success Academy Charter Schools Jan 2024 – Present | New York, United States ### Senior Software Engineer @ Open Trellis Jan 2024 – Present ### Software Engineer @ Open Trellis Jan 2023 – Jan 2024 ### Software Engineer Intern @ LLAMAWOOD Jan 2024 – Jan 2024 | Richmond, Virginia, United States ### Research Assistant @ University of Richmond Jan 2021 – Jan 2024 | United States - Conducted in-depth research on digital signal processing pipelines and recurrent-neural-network automatic speech-recognition models, building a strong foundation in machine-learning acoustics. - Implemented and evaluated targeted and untargeted adversarial attacks—ranging from preprocessing exploits to gradient-based perturbations—to reveal critical vulnerabilities in commercial voice interfaces. - Designed and validated a hybrid LIME/LEMNA explanation framework that surfaces the spectral features DeepSpeech2 relies on, enabling precise diagnosis of model weaknesses. - Automated large-scale ablation studies of DeepSpeech2 with a SciPy, Pandas, and scikit-learn toolchain, benchmarking robustness under varied noise, filtering, and perturbation scenarios. -Presented findings through a peer-reviewed poster at the University of Richmond Undergraduate Symposium, translating complex results for academic and industry audiences. ### Technology Assistant @ University of Richmond Jan 2021 – Jan 2024 | Richmond, Virginia, United States -I am in charge of assisting all students who come to the global studios with their software-related questions. -I teach other students how to use our green room (For setting up video conferences and designing video projects). -I teach other students how to use our cameras to get the best results. -I also assist other students in how to use video editing software such as iMovie, and Adobe Premiere. ### Residential Assistant @ University of Richmond Jan 2021 – Jan 2024 | United States - I foster a community amongst students under my supervision with engaging activities that form connections. - I patrol university buildings, ensuring the safety of students - Assists residents with the transition to university and residence hall life. - Enforces university and residence hall rules and regulations. - Assists in supervising residents and responding to complaints, reports, requests, and emergencies. - Submits reports on infractions, violations, and safety issues. - Promotes residence hall events. ### Summer Fellow @ The Takeoff Institute Jan 2023 – Jan 2023 - Orchestrated an end-to-end financial time-series project that harvested and pre-processed multi-year price data for Apple, Google, Microsoft, Amazon, NVIDIA, and Tesla using pandas, NumPy, and yfinance. - Crafted interactive dashboards in matplotlib and seaborn, spotlighting sector-wide trend shifts and volatility patterns to guide portfolio discussions with cohort peers. - Engineered predictive signals for Tesla—including a 10-day moving average and lagged momentum features—that enriched the training set and sharpened model convergence. - Built and fine-tuned a Long Short-Term Memory network with dropout regularization and early-stopping callbacks, producing low-RMSE forecasts that reliably tracked daily closing prices. - Presented findings to institute mentors, translating model diagnostics and forecast scenarios into clear, actionable insights on equity-market positioning. ### Virtual Insight Series Participant 2023 @ Goldman Sachs Jan 2023 – Jan 2023 | New York, United States ### Software Engineer Intern @ Bashpole Software, Inc. Jan 2022 – Jan 2023 | United States - Diagnosed and resolved high-priority defects across multiple web applications, coordinating with product and QA teams to maintain release velocity and safeguard the user experience. - Built reusable front-end modules in JavaScript, HTML5, and CSS3 and automated analytics workflows through Google Apps Script and Google Tag Manager, accelerating engineering throughput. - Designed scalable data models and RESTful interfaces that aligned with shifting business requirements, laying the groundwork for rapid feature expansion and smoother integrations. - Drove the full software-development life cycle—requirements capture, architecture design, unit testing, security validation, and CI/CD deployment—while promoting agile best practices. - Introduced linting rules, code-review templates, and automated test suites that elevated code quality and reduced post-deployment defects across the engineering organization. ### PwC Consulting Extern @ PwC Jan 2022 – Jan 2022 | United States - Analyzed complex problems ranging from fundraising and development, stakeholder management, and impact measurement, identified problem areas, and proposed solutions using consulting frameworks. - Learned to gather, analyze, and visualize data. - Utilizing tools like Canva, Loom, and search engines, created and presented market mapping and analytical research recommendations to representatives of Horizons National and PwC. ### Strategy Consulting Intern @ diiVe Jan 2022 – Jan 2022 | Cape Town, Western Cape, South Africa - Worked with a leading healthcare company called Hear.com to create an operation center to streamline their filling and processing of medical health insurance claims. - Collaborated with a software company called GoodX Software to create a system that integrates with the entire management portion of their current business model. - Tested our integrated business model against other institutions using alternative software solution systems to determine the rigidity of our solution system. ### Student Caller @ Ruffalo Noel Levitz Jan 2021 – Jan 2021 | Richmond, Virginia, United States - Obtained experience in professional communication, sales, and marketing. - Acted as an Ambassador of the University of Richmond by talking to alumni, going through the process of bonding, communicating updates and events, and finally requesting donations for further improvement and scholarships - Communicated with parents and alumni in a calm and understanding manner, collecting information to share with university administrators about common concerns and complaints ## Education ### Bachelor of Science in Computer Science and Double Minor in Entrepreneurship and Mathematics University of Richmond Jan 2020 – Jan 2024 ### Computer Science AIT-Budapest Jan 2023 – Jan 2023 ### Certificate in Software Engineering CodePath Jan 2022 – Jan 2022 ### High School Diploma in General Science Ghana Christian International High school Jan 2016 – Jan 2019 ## Contact & Social - LinkedIn: https://linkedin.com/in/ohenebaberko-123 - Website: https://ohenebaportfolio.netlify.app/ --- Source: https://flows.cv/oheneba JSON Resume: https://flows.cv/oheneba/resume.json Last updated: 2026-03-22