Open to opportunities

franklin obiefule

@franklinobiefule

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Data Analyst skilled in SQL, Python, and data visualization.

Nigeria

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What I'm looking for

I seek a role that fosters growth, collaboration, and impactful data-driven decisions.

As a dedicated Data Analyst with a strong foundation in SQL, Python, and data visualization, I have honed my skills through various personal projects and professional experiences. My journey began with a Bachelor of Pharmacy, which equipped me with analytical skills that I now apply in the data analytics field. Currently, I serve as a Deputy Manager at May & Baker Plc, where I analyze production reports and supplier performance to enhance operational efficiency.

My passion for data analysis is evident in my personal projects, such as the Bank Churn Analysis and Website Performance Analysis, where I utilized tools like Power BI and Excel to derive actionable insights. I am committed to continuous learning, as demonstrated by my certifications in Excel, SQL, and Python from Udemy, and my achievement of a 4 Star Silver Badge in SQL on HackerRank. I thrive on challenges and am eager to leverage my skills to drive data-driven decision-making in a dynamic organization.

Experience

Work history, roles, and key accomplishments

Current

Deputy Manager (Production Pharmacist)

Current

May & Baker Plc.

Nov 2021 - Present (3 years 6 months)

As Deputy Manager, I analyze monthly production reports to identify drug demands and inefficiencies in the manufacturing process. I maintain comprehensive data records for audits and inspections, analyze supplier performance, and share insights with other departments using data visualization tools.

Data Analysis SQL Excel Data Visualization Production Management Regulatory Compliance Supplier Performance Communication Collaboration

Data Analyst (Personal Projects)

Self Employed

Jun 2023 - Oct 2023 (4 months)

Conducted various personal projects focusing on data analytics and visualization. Projects included website performance analysis using Power BI, bank churn analysis, and segmenting best strikers using Python, showcasing skills in data cleaning, analysis, and visualization.