Temi Awe

With 5 years of experience as a data analyst, I possess a comprehensive skillset encompassing data collection, analysis, visualization, and communication. I'm adept at utilizing various analytical tools and techniques to extract valuable insights from complex datasets, turning data into actionable knowledge for informed decision-making.

Data Acquisition & Wrangling: I excel at identifying and acquiring data from various sources, including internal databases, external APIs, and web scraping. My proficiency in data cleansing and wrangling ensures data accuracy and consistency for subsequent analysis. I'm experienced in using tools like SQL and Python for efficient data manipulation and preparation.

Data Analysis & Modeling: I'm fluent in statistical analysis techniques, including hypothesis testing, regression analysis, and time series analysis. I leverage these methods to uncover patterns, identify trends, and measure correlations within the data. Additionally, I possess the skills to build predictive models using tools like linear regression, classification models, and machine learning algorithms, allowing me to forecast future trends and make informed recommendations.

Data Visualization & Communication: I am passionate about creating clear and concise data visualizations that effectively communicate complex data insights to diverse audiences, both technical and non-technical. I utilize tools like Tableau, Power BI, and Python libraries to build interactive dashboards, charts, and reports that facilitate storytelling with data. My communication skills allow me to translate technical findings into clear and actionable insights for stakeholders, ensuring they understand the implications and can make informed decisions.

Technical Skills: My technical skillset includes:

• Programming languages: Python (pandas, NumPy, scikit-learn), SQL (MySQL, PostgreSQL)
• Data visualization tools: Tableau, Power BI
• Data wrangling tools: Python libraries, scripts
• Database management systems: MySQL, PostgreSQL

Additional Skills:

• Problem-solving: I excel at identifying and resolving data-related challenges using critical thinking and analytical skills.
• Communication: I possess strong written and verbal communication skills, enabling me to effectively present findings and recommendations to diverse audiences.
• Collaboration: I thrive in collaborative environments, working effectively with cross-functional teams to integrate data insights into decision-making processes.

I am constantly learning and expanding my skillset to stay updated with the latest trends and innovations in the data analytics field. My experience and skillset make me a valuable asset to any organization seeking to harness the power of data to drive informed decision-making and achieve their strategic goals.