Naomi Richard
About Candidate
As a data scientist/analyst with over a year of hands-on experience, I specialize in leveraging cutting-edge tools and methodologies to extract actionable insights from complex datasets. My expertise spans the entire data lifecycle, from meticulous data cleaning and preprocessing to sophisticated analysis techniques and compelling data visualizations.
In my role, I am entrusted with the responsibility of transforming raw, unstructured data into valuable assets that drive informed decision-making within organizations. Through advanced statistical analysis and machine learning algorithms, I uncover hidden patterns, trends, and correlations that empower stakeholders to make strategic choices with confidence. I leverage this through the use of various tools that include: SQL(PostgreSQL, MySQL), Python, Microsoft Power BI, Microsoft Excel, Google Sheets
Location
Education
My academic background in Finance and Statistics has equipped me with a deep understanding of Statistics and Finance fundamentals, diverting my opportunities to work in financial, information technology, and all industries. As a dedicated and experienced data analyst, my passion lies in uncovering meaningful insights from complex datasets to drive informed business decisions. I have a proven track record of delivering data-driven solutions and helping organizations extract valuable information from their data. Beyond performing ad-hoc analyses, I am passionate about developing and implementing robust data analytics strategies. I leverage my data mining, machine learning, and predictive modeling knowledge to uncover predictive insights and support strategic decision-making processes. In addition to my technical skills, I am committed to fostering a data-driven culture within organizations. I regularly conduct training sessions and workshops to enhance data literacy among non-technical teams.
This certification program not only provided me with a comprehensive understanding of data analysis principles but also equipped me with a rich toolkit of analytical techniques and methodologies. Through this coursework and hands-on projects, I gained proficiency in various statistical methods, machine learning algorithms, and data manipulation tools. Moreover, the program fostered a deep appreciation for the importance of data quality and integrity. I learned advanced techniques for data cleaning, preprocessing, and transformation, ensuring that the insights derived from analysis are accurate, reliable, and actionable. Additionally, I developed a keen understanding of data ethics and privacy considerations, essential for responsible data handling in today's increasingly regulated environment.
Work & Experience
• 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 and building adashboards 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%.
• 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.
• 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.
