Data Analytics & Pharmacy Student with SQL, Python, Power BI

ADEGBOYEGA TEMITOPE OLUWAPELUMI

LUTH, Lagos, Nigeria

Phone: +234********

Email: ********************@*****.***

Linkedin: https://www.linkedin.com/in/adegboyega-temitope Medium: https://medium.com/@adegboyegatemitope24

PROFESSIONAL SUMMARY

Pharmacy student and developing Data Analyst skilled in Excel, Power BI, SQL, Python and data visualization. Experienced in transforming raw datasets into clear insights, interactive dashboards, and strategic recommendations. Strong interest in business analytics, healthcare analytics, and operational analysis. Proven ability to clean, model, and interpret data through academic projects and volunteering with the PANS Analytics Team. Passionate about solving problems with data and continuously improving analytical skills.

SKILLS

Analytics Tools: Excel, Power BI, SQL, Python

Core Skills: Data Cleaning, Data Modelling, Dashboard Design, Reporting, Data Visualization Techniques: Statistical Analysis, Trend Analysis, Insights Generation, Business Recommendations Soft Skills: Problem-solving, Critical Thinking, Attention to Detail, Communication, Teamwork, Leadership skills PROJECTS

1. Customer Churn Analysis.

Tools: Excel, Power BI, SQL

• Cleaned and analysed a large customer dataset to identify churn drivers.

• Performed segmentation and trend analysis to uncover behavioural patterns.

• Developed a Power BI dashboard visualizing churn rate, risk indicators, and retention metrics.

• Delivered actionable recommendations to reduce churn and improve customer retention.

• Recommended actionable changes to improve customer’s performance. 2. Adidas Sales Data Analytics Project

Tools: Excel, Power BI, SQL

• Analysed Adidas product sales across regions to identify revenue trends and performance drivers.

• Created an interactive dashboard showing top-performing products, profit distribution, and regional breakdown.

• Generated insights to support data-driven sales and marketing decisions. 3. Fraud Data Analysis

Tool: SQL

• Analysed the rate of women abuse using raw data

• Discovered the country that has the highest abuse prevalence

• Analysed the most common types of abuse

• Calculated the percentage reported rate.

• Drew conclusion and recommendation from the data given EDUCATION

Bachelor of Pharmacy (B.Pharm)

University of Lagos

300 Level

Expected Graduation: 2028

LEADERSHIP & VOLUNTEERING

PANS (Pharmaceutical Association of Nigeria Students), Analytics Team Supported data collection, cleaning, and reporting for student activities and events. ONLINE CERTIFICATIONS

RxData Hub internship training 2024

Goggle Coursera Data Analysis

Contact this candidate