Opemioniye Onipede Email and Phone Number
With over 3 years of experience and as a Data Global Talent, he has a demonstrated history of working across diverse sectors including fintech, geology, food, and healthcare services. An AI enthusiast and machine learning geek.He possesses extensive expertise in data governance, Enterprise Data Warehouse setup, and enjoys delving into the intricacies of data ingestion, manipulation, and structured streaming. Opemioniye is also proficient in software engineering and RPA, with proficiency in Python, Scala, R programming, SQL, and Java. He adeptly manages various database technologies and utilizes Big Data tools such as Hadoop, Spark, Databricks, and Kafka. Additionally, he is skilled in technologies like Airbyte, Apache Airflow, Docker, TagUI, SSIS, and has experience with cloud platforms like AWS, Azure, and GCP. Opemioniye's skill set extends to Machine Learning, Kafka, NLP, knowledge graphs, RPA, Neo4j, Cypher Query Language, and Robocorp."
Mlops Community
View- Website:
- mlops.community
- Employees:
- 63
-
Mlops Community Representative (London Chapter)Mlops CommunityUnited Kingdom -
Data AnalystNetcore Cloud Jan 2024 - PresentNigeria -
Co-FounderSafarigreen Hub Jan 2024 - Present -
Data AnalystMtn Nov 2022 - Dec 2023Field Activation, MoMo PSB -
Data ScientistPedal Mar 2022 - Dec 2023United Kingdom -
Internship TraineePwc May 2022 - Jul 2022SwitzerlandDevelop interactive and visually compelling dashboards using Power BI to present data insights.Create reports, charts, and graphs that effectively communicate data trends and patterns.Assist in data collection, cleansing, and transformation to prepare it for analysis.Update and maintain existing Power BI dashboards to ensure accuracy and relevance.Implement enhancements and improvements based on user feedback and evolving business needs.Work with data from various sources, ensuring it is integrated seamlessly into Power BI.Troubleshoot data integration issues as needed.Perform data analysis to identify trends, anomalies, and opportunities. -
Financial AnalystAlx_Africa May 2022 - Jun 2022Nairobi, Kenya -
Data AnalystEntrylevel Jan 2022 - Feb 2022Sydney, New South Wales, AustraliaData Collection and Cleaning: Assist in the collection and organization of data from various sources. Clean and preprocess data to ensure accuracy and consistency.Data Analysis: Use statistical techniques and data visualization tools to analyze and interpret large datasets. Identify trends, patterns, and insights that can inform business strategies and decision-making.Report Generation: Prepare reports and presentations summarizing data analysis findings. Clearly communicate complex information to both technical and non-technical stakeholders.Data Visualization: Create visually appealing and informative data visualizations, such as charts, graphs, and dashboards, to facilitate understanding and communication of data insights.Quality Assurance: Conduct quality checks on data to ensure data integrity and reliability. Identify and resolve data inconsistencies or errors.Collaborative Projects: Contribute to cross-functional projects and collaborate with team members from different departments. Participate in meetings and brainstorming sessions to contribute ideas and insights.
Opemioniye Onipede Education Details
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Business Analytics -
Geology And Mineral Sciences
Frequently Asked Questions about Opemioniye Onipede
What company does Opemioniye Onipede work for?
Opemioniye Onipede works for Mlops Community
What is Opemioniye Onipede's role at the current company?
Opemioniye Onipede's current role is MLOps Community Representative (London Chapter).
What schools did Opemioniye Onipede attend?
Opemioniye Onipede attended The Wharton School, Kwara State University, Malete.
Who are Opemioniye Onipede's colleagues?
Opemioniye Onipede's colleagues are Binoy Perera, Rochana Dissanayake, Enes Undefined, Mlops Community Madrid, Martin Lopez, Carrie Patterson, Steve Kearns.
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