Esther Wambeo

Esther Wambeo-- Juja Profile I am an enthustiastic data scientist with two years of experience. As a data scientist with Python, R, SQL, and statistics experience, I have a lot to offer to any company that requires my services. Firstly, my expertise in Python, R, and SQL enables me to work with a wide range of data sources, including structured, semi-structured, and unstructured data. With these tools, I can perform a variety of data-related tasks, such as data wrangling, cleaning, transformation, and visualization. Moreover, my strong statistical background enables me to identify patterns and trends in data, make informed decisions based on data insights, and build predictive models. I am familiar with a range of statistical techniques, including hypothesis testing, regression analysis, clustering, and decision trees, among others. Furthermore, I have experience with machine learning and deep learning techniques, which can help companies build predictive models for various purposes, including fraud detection, customer segmentation, and churn prediction. Overall, my skills as a data scientist can provide value to any company looking to gain insights from their data and make data-driven decisions. Whether it's building a recommendation engine or identifying customer preferences, I can help companies uncover valuable insights and make informed decisions. Education 09/2016 – 11/2020 Nairobi, Kenya Bsc Biostatistics Jomo Kenyatta University of Agriculture and Technology 01/2012 – 12/2015 Kitale, Kenya Kenya Certificate of Secondary Education St Monicas Girls High school 01/2004 – 12/2011 Webuye, Kenya Kenya Certificate of Primary Education Lugulu Boarding Primary School Professional Experience 01/2021 – 12/2021 Nairobi, Kenya Market Research Assistant Twiga Foods Roles -Collaborated with research teams to design and execute research studies that met client needs -Conducted secondary research to identify relevant market trends and competitor activity -Collected quantitative and qualitative data using Twiga DMS tool -Assisted in the preparation of research reports and presentations -Moderated focus groups and conducted in-depth interviews to gather insights from consumers about Twiga's FFVs and FMCG products Achievements -Conducted primary research that resulted in a new product positioning strategy for a client, resulting in a 20% increase in sales -Improved the accuracy and efficiency of data collection processes by automating survey administration using Qualtrics -Developed a competitive analysis report that helped a client identify new market opportunities and improve their marketing strategy -Received positive feedback from clients and team members on my attention to detail and ability to deliver high-quality research insights 09/2022 – present Independent Tutor Preply Roles -Designed lesson plans and assignments to teach data science principles, R and Python programming to students -Provided individual and group tutoring services to students of varying skill levels -Evaluated student performance and provided feedback to help them improve their understanding and skills -Encouraged students to ask questions, work collaboratively, and experiment with different tools and techniques Achievements -Helped students improve their understanding of data science principles, R and Python programming, resulting in improved performance in their coursework -Designed and implemented a project-based learning approach that enabled students to apply their knowledge in real-world scenarios -Received positive feedback from students and colleagues on my communication and teaching skills 08/2020 – present Data Scientist Fivver Roles -Collaborated with cross-functional teams to develop data-driven solutions that solved complex business problems -Conducted exploratory data analysis and data cleaning to prepare data for modeling -Developed predictive models using machine learning algorithms in Python and R -Visualized data and created interactive dashboards -Communicated insights and recommendations to stakeholders using data visualization and storytelling techniques Achievements -Developed a predictive model that reduced customer churn by 10% and increased customer retention rates by 5% -Automated data cleaning and transformation processes using Python and R, reducing data preparation time by 50% -Presented findings and recommendations to senior management, resulting in increased investment in data science initiatives 05/2019 – 08/2019 Webuye, Kenya Data Intern Webuye County Hospita Roles -Reception and Registration of patients. -Retrieval of patients notes. -Filling of patients notes. -Coding and indexing of patient’s notes and entering them into KHIS Achievement -Successfully completed the KHIS training program and became proficient in using the system for data entry and management -Identified and resolved discrepancies in patient notes, improving data accuracy by 15% -Streamlined the patient registration process by creating a new patient registration form that reduced wait times by 10% -Received positive feedback from patients and staff on my friendly demeanor and attention to detail Skills Data Analysis and Visualization in Python -Proficient in Python, with experience in data analysis, manipulation, and visualization using libraries such as Pandas, Numpy, Matplotlib, Seaborn, and Plotly -Knowledgeable in SQL for data querying and analysis -Familiar with machine learning concepts and algorithms such as regression, classification, clustering, and neural networks -Strong understanding of statistical concepts and their application in data analysis -Experience in data cleaning, transformation, and preparation for analysis Planning Logistics -Highly organized individual who handles all tasks effectively and efficiently. Data Analyysis and Visualization in R -Proficient in R, with experience in data analysis, manipulation, and visualization using libraries such as dplyr, tidyr, ggplot2, and Shiny. -Familiar with machine learning concepts and algorithms such as regression, classification, clustering, and neural networks -Strong understanding of statistical concepts and their application in data analysis -Experience in data cleaning, transformation, and preparation for analysis problem-solving and communication skills -Excellent problem-solving and communication skills, with experience in collaborating with crossfunctional teams to develop data-driven solutions Languages English Swahili References Ashley Karani, Data Analyst, Sendy- Hesbon Wanyama, Head of Department Health Records and Information Technology Department-