Nyokabi Waiganjo

Led campaigns aimed at increasing brand awareness and engagement through influencer partnerships. Analyzed market trends and consumer behavior to optimize campaign performance. Worked closely with influencers to ensure messaging aligned with brand values and goals. Reported campaign results and adjusted strategies to achieve business objectives.

Customer segmentation project Act as one of the key data analysts for management and subject matter experts for data mining, with the ability to provide in-depth knowledge of data workflows, products, business process logic, and data definitions. Work closely with the Business Unit managers to deliver analysis reports that align with established KPI goals. Develop ad-hoc reports for the business using Tableau and Power BI. Mine data from various sources using Python and SQL scripting. Validated integrity and completeness of statistical data.

  Led efforts in predicting customer churn, leading to a significant 15% drop in churn rates over six months. Translated complex findings into accessible reports and presentations, aiding executive-level decision-making. Collaborated with marketing teams to analyze campaign effectiveness, optimizing future strategies. Conducted exploratory data analysis to identify potential areas for process improvement, contributing to a 10% increase in operational efficiency. Assisted in the design and maintenance of data visualizations and dashboards, enabling real-time performance tracking.   

  Formulation of survey tools developed and implemented a survey tool to collect data on patient satisfaction. Analyzed the data to identify areas where the hospital could improve patient satisfaction. Made recommendations to the hospital administration on how to improve patient satisfaction  

Data Management Collected, stored, and organized data from a variety of sources, such as patient records, financial records, and operational data Developed and implemented data management policies and procedures to ensure the accuracy, security, and confidentiality of data Analyzed data to identify trends and patterns, and to make recommendations for improvement Monitoring and Evaluation (M&E) Gathered data and evidence to assess the effectiveness of the strategic plan Used the results of the assessment to make recommendations for improvement Data Analysis Used data to answer questions and make decisions Developed reports and presentations that communicated the results of data analysis to stakeholders Collaborated with stakeholders to use the results of data analysis to improve patient care, make better decisions, and save money.

Collected and entered data from a variety of sources, including student assessments, teacher observations, and parent surveys Analyzed data to identify trends and patterns Developed reports and presentations that communicated the results of data analysis to stakeholders.

A 23-week intensive boot camp that focuses on Python and R programming languages for data analysis, data interpretation, and data modeling. Other technical tools include SQL, TensorFlow, Tableau, JIRA, and GitA 23-week intensive boot camp that focuses on Python and R programming languages for data analysis, data interpretation, and data modeling. Other technical tools include SQL, TensorFlow, Tableau, JIRA, and Git Skills: Analytical Skills · Pandas (Software) · Data Science