David Gitahi Email & Phone Number

Professional Summary: I am a seasoned Data Scientist with over 10 years of experience in data science and analytics. My expertise spans the telecommunications and banking industries, where I have excelled in building forecasting models, uplift models, credit score models, and developing advanced NLP and recommendation systems. Additionally, I have over 4 years of management experience, leading teams of more than 5 people, and I am proficient in agile ways of working, ensuring efficient and effective project execution. My management experience also includes leading and mentoring teams, fostering collaboration, and driving successful project outcomesTechnical Skills:My technical toolkit includes proficiency in SQL, Python, Stata, and R, enabling me to manipulate and analyze data effectively. I am also adept in various visualization tools such as QlikSense, Superset, and Microsoft Power BI, enhancing my ability to present insights in a clear and compelling manner.Educational Background:I hold an MSc in Statistics, a BSc in Statistics, a Data Science nano degree from Udacity, and have completed a data science training program by Launch Pad AI in South Africa. Additionally, I am a Certified Investment and Financial Analyst, recognized as the top student in the Tax, Law, and Ethics unit. Achievements:I pioneered data science initiatives in both Safaricom and the Central Bank of Kenya, establishing and advancing their analytics capabilities.Professional Experience: I have spearheaded initiatives to automate data processing, validation, and analysis, which have been instrumental in developing debt management strategies and formulating monetary policies. Additionally, I have worked on the following models:1. Recommendation Systems: Developed advanced recommendation systems for telecommunications customers to enhance their experience and engagement.2. Churn Models: Created predictive churn models to improve customer retention strategies and reduce turnover rates.3. Forecasting Models: Developed and implemented forecasting models to enhance operational efficiency and strategic planning.4. Randomized Control Trials: Designed and implemented randomized control trials to test the effectiveness of new initiatives and policies.5.Workforce Management Systems: Developed and optimized workforce management systems to streamline operations and improve productivity.Interest in Explainable AI: Beyond technical expertise, I am deeply interested in the field of explainable AI, focusing on making complex models understandable and trustworthy for stakeholders.

Listed skills include Economics, Teamwork, Research Design, Teaching, and 21 others.