Odelola Solomon Oluwatobiloba

Odelola Solomon Oluwatobiloba

Data Analyst Position
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
31 years old
Location:
Lagos, Lagos, Nigeria
Experience:
3 years
Odelola Solomon Oluwatobiloba Lagos, Nigeria |- |-| https://www.linkedin.com/in/odelolasolomon-47b816194 | https://github.com/Odelolasolomon | https://youtube.com/@odelolatechup1447 About Detailed Data Analyst well-versed in various statistical methods such as descriptive and inferential statistics. Independent and versatile individual skillful in identifying data issues and monitoring existing metrics. Offering 3 years of experience collecting data, establishing facts and drawing valid conclusions. Proficient in Microsoft Excel, MySQL, Power Bi, Python, R paired with first-rate report writing abilities. Education 2020-1 - 2023-06 Bachelor of science: Statistics Major: Statistics Related coursework: Statistical Analysis, Mathematical statistics, Data Analysis, Data Science. Skills & Abilities Python programming language Python for data analysis python for data science/machine learning Structured query language (SQL) Microsoft Excel for statistical and data analysis Powerbi for data visualization R programming for statistical analysis Strong analytical and problem-solving skills Proficient in Microsoft Excel or other data analysis tools Excellent written and verbal communication skills in English Very good organization, presentation and report writing skills Predictive modeling Competitive and Operations Analysis Certification python for data analysis | Alx | Certified certified data analyst with excel and sql | Utiva | certified data scientist with python | Data Quest | certified data analyst with EXCEL, SQL and powerbi | Udemy | certified machine learning engineer with Python | Data Quest | WORK HISTORY 2023-05 - current Entry Level Skyway Aviation Handling Company, Lagos, Nigeria. Identified, analyzed, and interpreted trends or patterns in complex data sets, by finding correlations and visualizing with charts Deployed predictive analytics models to forecast future trends Utilized various professional statistical techniques and maintained large databases to collect and analyze data from partners and customers. Used modeling and analytics to understand how business decisions impacted bottom line Identified patterns and trends in large data sets and provided actionable insights. Page 2
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