Collins macharia Muturi

In my role as a Data Analyst at Chasmac Trading Company, I employed statistical methods to analyze data, identifying trends and patterns. My reports facilitated strategic decision-making, resulting in a 15% increase in operational efficiency.

Completed a data visualization job simulation for TATA Consultancy Services, where I created visuals for data analysis to assist executives in effective decision-making.

Engaged in a customer churn analysis simulation for BCG analytics, utilizing Python for data analysis and visualization, achieving an 85% accuracy rate in predicting customer churn.

Completed a job simulation focusing on data visualization using Power BI, showcasing my ability to create dashboards that effectively convey KPIs and respond to client requests with actionable insights.

Participated in a data science job simulation with British Airways, where I scraped and analyzed customer review data, built predictive models, and gained insights into customer buying behavior.

Completed a job simulation for Commonwealth Bank's Data Science team, demonstrating proficiency in data management, engineering pipelines, and compliance with data privacy regulations.

As a Data Science Intern at ALX, I led a group project to develop a mental health website, utilizing skills in data visualization, graphic design, web design, and content creation. This experience enhanced my technical and collaborative abilities in a real-world setting.

As a Financial Analyst at Amp Bank Power Systems Ltd, I established an accounting system and reorganized frameworks to improve financial reporting accuracy. My audits provided actionable recommendations for enhancing operational efficiency.

In my position as a Data Analyst for forensic audits at Ardhi Sacco Society Ltd, I classified data across departments and utilized advanced tools for analysis, recovering 16 million for the company and improving overall efficiency.

Completed a Master of Data Science with key courses including Leadership, Data Preparation, SQL, Machine Learning Algorithms, Python, Regression, Data Visualization, NLP, Classification, Unsupervised Learning, and AWS.

Pursued Chartered Financial Analyst Level I with key courses in Financial Reporting and Analysis, Derivatives, Alternative Investments, Economics, Equity, and Quantitative Methods.

Earned a Bachelor of Science in Financial Engineering, covering Discrete Mathematics, Calculus for Statistics, Database Management Systems, Fixed Income Securities, Derivatives, Economics, and more.