Temitope Odeyemi

Temitope Christiana ODEYEMI 13, Oladiti Street, Palmgroove-Ilupeju, Lagos State. Nigeria-- LinkedIn Portfolio GitHub Medium PROFESSIONAL SUMMARY I am a results-driven Data Analyst skilled in SQL, Python, Power BI, and Excel, with a passion for translating data into actionable insights that improve business outcomes. I specialize in identifying trends and patterns in complex datasets, transforming them into compelling narratives that support data-driven storytelling and strategic decision-making. With a strong focus on collaboration across cross-functional teams, I develop business intelligence solutions that enhance customer experiences and optimize internal processes CORE COMPETENCIES           Proficiency in Python, SQL, Power BI, and Microsoft Excel: Skilled in utilizing Python and SQL for complex data analysis, wrangling, and automating ETL processes to optimize data flow from diverse sources or databases. Data-driven storytelling: Proven ability to convert data and analytics into compelling narratives that demonstrate value, support customer success, and inform decision-making. Analytics and BI Development: Expertise in developing interactive dashboards and reports using Power BI, Matplotlib, and Seaborn. Skilled in automating reporting processes for client-facing reports at scale, ensuring accuracy and clarity. Proficient in exploratory data analysis: Identify patterns and correlations using advanced SQL queries (CTE, JOIN, Window functions) to generate actionable insights that improve decision-making. Cross-functional collaboration: Partnered with Engineering, Product, Customer Success, Sales, and Marketing teams to ensure data infrastructure supports strategic decision-making. Experience in developing KPIs, forecasting models, and uncovering answers to critical business questions. Strong commercial orientation: Ability to convey complex information clearly and effectively to stakeholders, aligning data insights with business strategies to enhance customer satisfaction and optimize internal processes. Advanced Excel functions: Competent in OFFSET, CONCATENATE, RANK, VLOOKUP, IF, PivotTable, and PivotChart for data manipulation and analysis. Statistical and machine learning knowledge: Experience applying statistical models to analyze data and answer critical business questions. Effective communication and documentation: Exhibits strong active listening skills and empathy to understand customer concerns and build rapport. Skilled in documenting methodologies, creating data dictionaries, and sharing knowledge for cross-functional collaboration. Task management: Highly organized and detail-oriented, skilled in managing multiple tasks with minimal supervision while efficiently generating actionable insights and presenting findings to relevant stakeholders through detailed and interactive data storytelling. EXPERIENCES & PROJECTS Center for Inclusive Social Development August 2023 – Current Data Analyst (Volunteer)  Developed interactive Power BI dashboards and visualizations that enabled stakeholders to monitor progress and evaluate program outcomes in real time.  Employed advanced Excel functions and techniques for data cleaning, transformation, and analysis, ensuring data accuracy and consistency across multiple projects.  Conducted comprehensive data analysis using SQL to identify patterns and insights, supporting the organization’s mission to enhance social inclusion.  Collaborated with cross-functional teams to gather data requirements and deliver actionable insights that informed strategic planning and resource allocation  Applied Python for automating data processing tasks and performing advanced statistical analysis to support program evaluation and strategy development.  Automated repetitive data processing tasks using Python scripts, significantly reducing time spent on data entry and increasing overall productivity  Assisted in the preparation of data-driven presentations and reports for internal and external stakeholders, enhancing transparency and communication of program impacts.  Generated and presented interactive dashboards and reports to management on client-related insights and trends, assisting in strategic decision-making From Raw to Refined, Using SQL November 2023 http://bit.ly/3Rsv3pi  Demonstrated strong command of SQL fundamentals, including data querying, manipulation, and analysis.  Employed window functions like RANK and PARTITION to perform advanced aggregations.  Employed advanced SQL techniques like CTEs, subqueries, and partitions to effectively clean, transform and manipulate the datasets.  Proficiently used SQL commands like JOIN, CREATE VIEW, and CREATE TEMPORARY TABLE for data manipulations.  Analyzed and interpreted data insights to formulate actionable recommendations for improving access to water in Maji Ngodo communities.  Implemented data-driven solutions by creating a table in the database, facilitating the implementation of recommendations. PwC’s Power BI Virtual Case Experience https://bit.ly/3ZYm6GD    September 2023 Leveraged Power Query Editor for dataset cleaning, transformation, merging, and shaping. Actively crafted visually captivating, and interactive dashboards and reports. Skillfully harnessed DAX (Data Analysis Expressions) functions to engineer custom calculations and measures, elevating the level of analysis.  Diligently examined both callers and call agents’ interactions, seeking transparency and valuable insights.  Presented analysis results and recommendations to stakeholders in a clear and concise manner. Forage March 2023 – September 2023 Data Analyst Virtual Intern  Conducted in-depth data analysis, employing a diverse set of advanced statistical techniques.  Proactively communicated insights to clientele, providing a comprehensive understanding of key success drivers and avenues for improvement.  Developed and maintained reporting systems to track key metrics and provide actionable insights.   Employed statistical analysis to uncover intricate data patterns, pinpointing opportunities for enhancement. Demonstrated technical prowess by creating interactive dashboards and reports through adept use of spreadsheet and visualization software. NCI’s Breast Cancer Analysis and Visualization Using Python June 2023 http://bit.ly/3rP1bcH  Leveraged Python libraries, including Pandas and NumPy, to analyze breast cancer datasets.  Applied advanced data wrangling techniques to ensure data accuracy and support effective decisionmaking.  Conducted in-depth Exploratory Data Analysis (EDA) to unveil valuable insights, patterns, and relationships within the dataset.  Utilized data visualization tools like Seaborn and Matplotlib to craft interactive dashboards.  Formulated and presented actionable recommendations to mitigate the proliferation of breast cancer. EDUCATION & CERTIFICATION Explore AI Data Science ALX May 2023 to July 2024 Data Analytics (Pro) HerTechTrail December 2022 to March 2023 Data Analytics and Intelligence track Everything On Data July 2022 to September 2022 University of Lagos, Lagos State (B.Sc. Applied Botany) January 2014 to September 2018 SKILLS Programming language – Python (NumPy, Re, Pandas, Matplotlip, Seaborn, SQLAlchemy) Database Management – SQL (MySQL, SQLite) Data Visualization – Power BI, PivotChart Formula language – DAX, M (Power Query) ETL Tools- Python, SQL Documentation- Data documentation, methodology tracking Spreadsheet – Google sheet, Microsoft Excel Data Storytelling Machine Learning (Logistic Regression, Decision Trees) REFERNCES Available on request