Regan Otieno Omolo

 -|-|https:/www.linkedin.com/in/regan-omolo- regan otieno omolo EDUCATION University of Moi school of engineering and applied science Bachelor of Machine Learning and AI ;First class honor University of Liverpool John Moores University School of Engineering (Cousera.org , online) Master of Machine Learning and AI PROFESSIONAL EXPERIECE /Goldman/ /Sachs/ /Inc/ During my tenure at the Ontario Institution of Cancer as a Junior Data Scientist, I engaged in several significant projects: Time Series Anomaly Detection: Leveraging Python, I implemented advanced unsupervised machine learning techniques to detect anomalies in time series data. This involved processing a substantial 3TB dataset, where my approach led to a notable 20% reduction in total processing time, enhancing the efficiency of anomaly detection processes. Data Wrangling and Visualization: I was responsible for managing and visualizing a vast 10TB dataset of traditional transaction data stored in the Hadoop Distributed File System. Using Python, I meticulously wrangled and transformed 16 previously inaccessible datasets, enabling over 500 end clients to effectively track the impact on liquidity. This effort not only provided valuable insights but also significantly improved data accessibility and usability for our stakeholders. Publication and Research: I contributed to research efforts, resulting in publications such as "Regan Omolo, Reimand J, Network-rewriting shapes detection in Kanaso signaling network as information for cancer patients' survival," and "Krassowski M, Paezkowska M, Cullion K, Regan O, et al. Active Driver DB: human disease mutation and genome variation in post-translation sites of proteins, Nuclear Acid Res. 2021 doi:10.1093/nar/gkx972." Utilization of High-Performance Computing Linux Cluster: I utilized Python and SQL on a high-performance computing Linux cluster to discover three new cancer shapes using SSFomer. Presentation of Results: I presented the results of these projects to the global head of teams, providing an executive summary detailing the value proposition and strategy for presentation to clients and senior leadership. Equity Sachs Inc. During my tenure at the Data Science and Machine Learning Summer Analysis, Security Division, I spearheaded several impactful projects: Implementation of Unsupervised Machine Learning: Leveraging Python, I developed and applied unsupervised machine learning techniques to analyze transactions and predict future transactions. This initiative led to a remarkable 20% reduction in processing time for 3TB of unsupervised data. Data Wrangling and Visualization: Using Python, I managed and visualized 10TB of traditional transaction data stored in the Hadoop Distributed File System. This effort involved remodeling 16 previously inaccessible datasets, thereby empowering over 500 end clients to effectively track liquidity impacts. Presentation of Results: I had the privilege of presenting the outcomes of these projects to the global head of teams and executive leadership. This presentation included a detailed summary of the value proposition and strategy, tailored for client and senior leadership presentations. SKILLS programing languge and packege skilled on Programming Languages: Proficient in Python, R, SQL, HTML, CSS, C++, C, and JavaScript, enabling the manipulation, analysis, and visualization of data across various platforms and environments. Big Data and Machine Learning: Experienced in handling large datasets using Apache Spark (PySpark, Apache Hive), MySQL, and MongoDB. Skilled in applying machine learning techniques with Python libraries such as scikit-learn, TensorFlow, PyTorch, Keras, NumPy, and pandas, along with data visualization using Matplotlib. Data Science and Miscellaneous Technology: Well-versed in A/B testing methodologies, Extract, Transform, Load (ETL) processes, and the complete Data Science Pipeline. This includes expertise in data cleaning, data wrangling, data visualization, modeling interpretation, and deployment. Proficient in statistical analysis to derive meaningful insights from data for informed decision-making, especially in the context of analyzing transactions and predicting future transactions for banks. PROJECTS Online assistant As a Data Science and Machine Learning Engineering freelancer, I have had the privilege to collaborate with clients on platforms such as Guru and other freelancing platforms. My primary goal has been to not just complete projects, but to elevate my clients' situations to the next level through innovative solutions and dedicated efforts. In my freelance projects, I have worked closely with clients to understand their specific needs and challenges. By leveraging my expertise in data science and machine learning, I have developed tailored solutions that have helped my clients achieve their goals more efficiently and effectively. One of the key aspects of my work as a freelancer has been the ability to adapt to different project requirements and environments. This adaptability has allowed me to successfully tackle a wide range of projects, from small-scale data analysis tasks to large-scale machine learning models. Through my freelance work, I have not only honed my technical skills but also developed strong communication and project management abilities. I have learned how to effectively communicate complex technical concepts to non-technical stakeholders, ensuring that everyone is on the same page throughout the project lifecycle. Overall, my experience as a Data Science and Machine Learning Engineering freelancer has been incredibly rewarding. I have had the opportunity to work on diverse projects, collaborate with clients from around the world, and continuously expand my skill set. I look forward to continuing this journey and taking on new challenges in the field of data science and machine learning. Team Leader /University of Moi/ Led a Team of 5 Students in Collaborating with Technology Experts During my time as a student, I had the privilege of leading a team of five students in collaborating with technology experts to create a series of workshops, expos, and hackathons. These events were aimed at bringing together students and professionals interested in Python and AtoML (Atomistic Machine Learning), resulting in a combined attendance of over 1000 participants. This experience not only allowed me to hone my leadership skills but also provided me with valuable insights into event planning and management. I was responsible for coordinating with technology experts to develop the content for the events, as well as organizing logistics such as venue selection, catering, and promotion. Established and Maintained 4 Sponsorships In addition to leading the team, I also took on the responsibility of establishing and maintaining sponsorships for our events. I successfully secured sponsorships from university departments, faculties, companies, and other student clubs, ensuring the financial viability of our initiatives. Securing these sponsorships required strong negotiation skills and the ability to effectively communicate the value proposition of our events to potential sponsors. I was able to build strong relationships with our sponsors, which not only provided financial support but also opened up opportunities for future collaborations and partnerships. Overall, this experience taught me valuable lessons in leadership, event management, and relationship building. It also reinforced the importance of collaboration and teamwork in achieving shared goals. I am confident that the skills and experiences I gained from this experience will serve me well in future endeavors. Computer vision /University of Moi/ Collaborated with Executive Team to Design and Implement Synthetic Model In a collaborative effort with six executives, I played a key role in designing and implementing a synthetic model for 16 general members. This project involved not only technical expertise but also effective communication and teamwork skills to ensure that the model met the needs and expectations of all stakeholders involved. By working closely with the executive team, I was able to incorporate their feedback and insights into the design process, resulting in a synthetic model that was both innovative and effective. Developed a Lightweight Model for Object Detection in Video Cameras Another significant project I undertook was the development of a lightweight model for detecting objects in a video camera, specifically for use in self-driving cars. This project required a deep understanding of computer vision techniques and machine learning algorithms, as well as the ability to optimize the model for real-time performance. The resulting model was not only accurate but also efficient, making it well-suited for use in resource-constrained environments such as self-driving cars. Created Machine Learning Research Paper for Object Detection In addition to practical projects, I also have experience in academic research. I authored a machine learning research paper focused on object detection, which was well-received by the academic community. This project allowed me to deepen my understanding of machine learning concepts and algorithms, as well as improve my writing and presentation skills. Overall, these experiences have helped me develop a strong foundation in machine learning and artificial intelligence, as well as valuable skills in teamwork, communication, and project management. I am excited about the opportunity to apply these skills and experiences to future projects and challenges in the field of technology. Fintech /University of Moi/ Collaborated with 9 Executives to Design and Implement a Custom Data Analysis Model. In collaboration with six executives, I led the design and implementation of a custom data analysis model tailored for 16 key members within the fintech sector. This initiative required a deep understanding of financial data and its complexities, as well as the ability to translate complex requirements into actionable insights. By closely engaging with the executive team, I ensured that the data analysis model not only met but exceeded the expectations of all stakeholders, providing valuable insights for strategic decision-making processes. Authored a Research Paper on Data Analysis in Fintech Furthermore, I authored a research paper on data analysis in fintech, focusing on innovative approaches and best practices. This paper, well-received within the academic and fintech communities, contributed to advancing data analysis techniques in the financial sector. Through this project, I honed my research, writing, and presentation skills, demonstrating a deep commitment to driving innovation and excellence in fintech data analysis. These experiences have equipped me with a strong foundation in data analysis and financial technology, as well as valuable skills in problem-solving, critical thinking, and communication. I am excited about the opportunity to leverage these skills and experiences to drive impactful change and innovation in the fintech industry, contributing to its growth and evolution.