Position: Data Analyst
Category: Data Analyst
English level: fluent
Years of experience: 3

I created a churn model that improved the company's Fund Under Management by over 3 million dollars and improved their market share by about 10%. The model was also deployed to Power BI to determine which Employee was managing clients who had a high propensity to churn, and also to discover patterns of clients who churn. Alot was discovered and I ensured that these discoveries were implemented by the company.
Lanre is an AWS certified machine learning specialist and business-minded data scientist with a demonstrated ability to deliver valuable insights via data analytics and advanced data-driven methods. Seeking to leverage my data visualization and data modelling skills to help solve business problems.
Technologies used so far: Python • Microsoft Excel • Machine learning • Microsoft Power BI • Tableau • Spark • Git • Status tracking tools (Jira) • R Language • MongoDB • Amazon Web Services • Azure • SQL
Certifications: AWS Certified Machine Learning – Specialty, Microsoft Certified: Data Analyst Associate, AI Programming with Python Nanodegree –Udacity
At my currrent role as a Machine Learning Data Analyst, I am:

Building machine learning models to detect customer churn, generate customer lead across the group and predictive models that can help the cross selling initiative recently adopted by our group of companies.
Building a data warehouse to help optimize analytic jobs.
Supporting the marketing and customer experience team by creating dashboards to help monitor customer behavior and make data driven decision.

At my previous roles as a Data Scientist and ML Engineer, I:

Built algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production.
Analyzed and processed complex data sets using advanced querying, visualization, and analytics tools.
Designed and developed analysis systems to extract information from large scale data.
Maintained enterprise data warehouse, data integration, and migration with ETL
Performed data management activities such as collection, cleaning, standardization, and mining and also hands-on application of machine learning and deep learning.
Deployed projects to cloud services like Amazon Web Services and Microsoft Azure using docker
I love challenges! Be it a well established process or a new technology, small or big projects, I am always willing to take up a challenge. I have good experience working with different sizes of teams and different kind of projects.
I would love to hear from you.