Stephen Oladele Email & Phone Number

London, GB

San Jose, CA, US

San Francisco, California, US

San Francisco, California, US

San Francisco, California, US

Palo Alto, California, US

Palo Alto, California, US

Seattle, WA, US

New York, New York, US

New York, New York, US

• I currently work with The Gradient Boost, a last-mile data science upskilling platform, matching companies to talent and with a mission to create stronger learners.With a career goal of impacting and building talents.
• To help learners get unstuck during their upskilling phase,
• Leading and assisting in the development of internal and external data science and BIprojects in collaboration with The Gradient Boost talents, to build competency in learners.
• Proactively assisting talents in training and upskilling their data science skills includingassessing students based on a rubric developed in conjunction with The GradientBoost team, content creation for material.
• Help gain first-hand insights on how learners are performing and make recommendations on the best strategies to improve the competency of learners.
• Provide learners with career tips and opportunities to get ahead (in their career).

All Remote, US

• Layer is building the Declarative MLOps platform to help data teams across all companies to produce machine learning applications based on code in small and safe increments that can be reproduced, tested and reliably.
• Wrote a mini ebook for the marketing team on how customers can build MLOps pipelines with Kubeflow Pipelines on Google Cloud Platform and Layer.
• Wrote a comprehensive blog post and technical guide on how customers can build reproducible machine learning pipelines with Kubeflow Pipelines on AWS with MiniKF and Layer Pipelines.
• Wrote a technical guide on how readers can build real-time machine learning pipelines with Apache Spark on AWS.

WHAT WE DO AT AGSERVER: At AgServer, we ensure that farmers have instant information to bolster productivity.Website: https://agserver.net/Achievements:- Built our Natural Language Processing-powered MVP for farmers to ask questions and get responses in near real-time in Igbo and English through SMS communication. > Technologies include Language.

Birmingham, England, GB

Worked on a contract with the team at Packt Publishing Co. to review a book on Machine Learning Operations for technical correctness, coherence, and standard quality. Packt is one of the world's leading IT book publishers with a mission to help the world put software to work in new ways, through the delivery of effective learning and information services.

Port Harcourt, Rivers, NG

• I worked on contract as a Data Scientist at SprintHub Mobile, a mobile development software company that engineers mobile solutions for innovative businesses.As a Data Scientist;
• I worked with the CEO, Backend Developer and DevOps Engineer to architect a news recommendation engine solution for a client from South Africa.
• I advised and was consulted by the company on Data, Data Science, and Artificial Intelligence-related solutions.
• Using their facilities, I was also able to learn and practice Deep Learning and other representative Machine Learning technologies.

Warsaw, Mazowieckie, PL

• Under the School of AI’s Summer Fellowship Program in 2019, I advised Shraddha Kulkarni (Master's Candidate at the University of Southern California, LA and now an intern at Facebook) on her research work where she got.
• Within 4 months, I was able to mentor and advise Shraddha in the process of completing her research work. I supported her in troubleshooting technical problems and advised her on approaches to churn out optimal.

London, London, GB

• I interned virtually with the Paylater team (now "Carbon") and worked on some tasks, finding business insights with their in-house dataset.
• In one of my tasks, I was challenged to prepare a sample of the data made accessible by wrangling and clearing the data, and through the exploratory process, answering business questions and giving insights.
• I also worked on a task using unsupervised learning techniques to uncover insights on similarities among rejected loan applications as a simulation to help the business make important decisions on applicants whose loan.
• Among a couple of tasks, I also worked on streaming data from Google BigQiery.During my time as a virtual intern, I learned and used the following technologies;- Pandas (for advanced data wrangling),- Google Cloud.

• I participated in the PyTorch and Facebook Nanodegree scholarship challenge that spanned from November 2018 to January 2019, undergoing a series of intensive lectures on the Udacity platform, learning the basics of.
• My final project was a computer vision project where I achieved >96% accuracy on the test set and majorly learnt how to optimize the hyperparameter tuning process as well as hardware, for training large neural networks.

Yaba, Lagos, Lagos, NG

• Attended the 3rd annual Intercampus Bootcamp organized by Data Science Nigeria for undergraduate students. Data Science Nigeria's mission is to build a world-class Artificial Intelligence (AI) knowledge, research and.
• I qualified for the Bootcamp by participating in a Kaggle competition and emerging as one of the tp candidates selected to attend the Bootcamp.
• I participated in the hackathon hosted on Zindi and was part of the top 25/100 participants in the challenge.
• I learned from--and connected with--experts in the Machine Learning and Data Science fields, making life-long friends and connections and taking up internship opportunities.

• I was a self-taught 3D artist and mostly used the following tools; Blender3D, Blender Cycles, Adobe Photoshop (for Post-Processing), and GIMP 2.8.Portfolio Link: http://bit.ly/3rUSYOp
• Free-lanced for Bottle Cap Games, where I created 3D assets (such as buildings and environment) for their game engine.
• Mostly learned 3D art and animations through walk-through tutorials (from YouTube and Lynda.com), and books.
• Within my portfolio, you'll find my personal projects on architectural and interior visualization, 3D modelling, environment visualization, character creation, fluid simulation, and so on.