Naomi Richard

Naomi Richard Nairobi, Kenya || - ||-|| linkedin.com/in/naomi-mutheu || github/mutheu-eng WORK EXPERIENCE Sales Data Analyst Nairobi, Kenya Sevi December 2023 – April 2024 • Increased process efficiency by 50% by launching business analytical tools such as google forms in tracking sales route plan utilized by management daily. • Decreased monthly issues report by 15% through collaborating with partners, and formulating and improving reporting capabilities. • Performed in-depth analysis of sales data by writing SQL queries on Meta Base, identifying trends, patterns, and areas for improvement. Improving sales performance by 20%. • Carried out a customer feedback survey using the Kobo Collect tool to help the management and stakeholders understand its customer needs and satisfaction and identify areas of improvement, resulting in a 20% increase in overall customer satisfaction scores and a 15% improvement in customer retention rates. • Developed an automated sales route plan to extract data and easily analyze activities carried out for more productivity this led to improving the sales representatives’ productivity by 30%. Data Analyst The Startups Kitchen Nairobi, Kenya September 2023 – December 2023 • Led in analyzing raw data using various machine learning techniques, drawing actionable insights, and developing predictive models to optimize field activities. This initiative resulted in a notable 30% reduction in operational costs. • Led talent research efforts on LinkedIn, leveraging machine learning algorithms to efficiently identify and recommend top candidates, thereby assisting startup founders to a scale of 15% in assembling high-performing teams, resulting in a 25% increase in recruitment efficiency and a 20% reduction in time-to-hire. • Collaborated with cross-functional teams within the IT and software sector, utilizing machine learning methodologies to analyze data and provide data-driven recommendations aimed at enhancing software performance and user experience in startup environments, resulting in a 30% increase in software performance metrics and a 25% improvement in user satisfaction scores. Business Data Analyst Nairobi, Kenya Ngeni Labs May 2023 – August 2023 • Used Power BI visualization tools to develop and present reports on business KPIs. Increased team efficiency by 25% through data-driven improvements, resulting in a 20% reduction in turnaround time for decision-making processes. Led in the manipulation, cleaning, and processing of data using Excel, Python, and SQL. Responsible for loading, extracting, and validating client data, achieving a 30% reduction in data processing errors and a 25% improvement in data accuracy. Collaborated with data engineers and data scientists to source external data and integrate it into data analysis projects, enhancing predictive analytics capabilities, resulting in a 35% increase in model accuracy and a 20% improvement in forecasting precision. • • EDUCATION Mount Kenya University Bachelors’ in Finance and Statistics Google / Coursera Google Data Analytics Professional Certificate Nairobi, Kenya Virtual Session SKILLS · · Techniques: Data Mining, Data Cleaning, Data Analysis, Data Visualization, ETL, Statistical Modeling, Financial Modeling Tools and Software: Python, Sci-kit-Learn, Microsoft Power BI, Qlik Sense, MySQL, PostgreSQL, Advanced Excel, Google Sheets, Power Query, Meta Base, DAX (Intermediate), Git, Click Up, Jira, Google Big Query, Kobo Collect, Taro Works