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Resume

Work
Experience

Apr '23 -Present

Data Analyst at Renmoney MFB

  • Conducted comprehensive statistical analysis and trend identification to assess loan portfolio performance, default rates, and risk exposure.

  • Collaborated with the Decision Science Team in sales forecasting and budgeting processes, contributing valuable insights to the planning process.

  • Evaluated the performance of different sales channels and products, recommending adjustments to optimize results.

  • Developed and maintained sales reports and dashboards, providing actionable insights to management for strategic decision-making.

Nov '22 -Apr '23

Data Analyst at Stratifi

  • Utilized automated tools like PhantomBuster and Power Automate to collect and organize data from various sources, including social media platforms, marketing campaigns, and sales data.

  • Utilizing statistical and analytical techniques, in tools such as Excel and Python, to identify trends and patterns in data.

  •  Stay up-to-date with industry trends and technologies, and look for ways to incorporate them into the company's data analysis processes

Sep '22 - Nov '22

Data Analyst Intern at Side Hustle

  • Utilizing Excel and Tableau, I analyzed and interpreted trends and patterns in large data sets by finding correlations
    and visualizing them through the creation of charts.

  • Performed data cleaning and validation on spreadsheets using Excel to ensure the accuracy and reliability of the
    data management platform. This led to more accurate data analysis and entry.

  • Extracted influencers' profile data and profile post data from Instagram by utilizing PhantomBuster an automated tool

  • ​Effectively implemented and communicated daily workflow procedures to fellow team members, resulting in an
    increase in productivity.

Dec '21 - Sep '22

Data Entry Clerk at Kadal Construction Works Ltd

  • Identified information that is currently stored on a medium that cannot be accessible by a computer system and
    manually convert them to a format that can be accessed, read, comprehended, and processed by computer systems.

  • Utilizing Google Sheets, I collate and sorted data cleansed them of duplicates, and made sure that data could be easily
    shared across several digital platforms and accessed with just a single click.

Nov '22 - Present

Field Service Technician Intern 

  • Relayed all updates and site issues efficiently on the group and other communication channels (to relevant individuals).

  • Provided support during field visits by managing the on-site installation, repair, maintenance, testing, error diagnosis,
    technical problem solving and determining proper solutions.

Education & Certifications

2016 - 2022

Federal University of Petroleum Resources Effurun | Bachelor's Degree in Electrical and Electronics Engineering

FUPRE was established in March 2007 under a Federal Government of Nigeria initiative to build a specialized University to produce
unique high-level manpower and relevant expertise for the Oil & Gas sector in Nigeria and worldwide.

Sep '22

IBM Certified Data Analytics  Professional Certificate

Aug '22

Google Data Analytics Proffesional Certificate

Aug '22

Google Finance Data Analytics Professional Certificate

Skills
& Expertise

  • Data analysis: Proficiency in data analysis techniques and tools such as SQL, Python, Apache Spark,  Excel, Tableau, and Power BI.

  • Data visualization: Ability to present complex data in a clear and understandable manner using various visualization tools.

  • Data modeling: Knowledge of statistical and machine learning models and their applications in solving business problems.

  • Data wrangling: Experience in cleaning and transforming raw data into usable formats.

  • Database management: Ability to work with and manage large databases.

  • Business acumen: Understanding of business operations and ability to interpret data in the context of business objectives.

  • Communication skills: Ability to effectively communicate insights and recommendations to stakeholders at all levels of the organization.

  • Problem-solving: Strong analytical and problem-solving skills to identify and resolve complex data issues.

  • Project management: Ability to manage multiple projects and prioritize tasks effectively.

  • Continuous learning: Commitment to continuous learning and staying up-to-date with emerging trends and technologies in the field of data analysis.

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