New trainee profiles available August 2021;- Contact firstname.lastname@example.org to sign up to be informed of new talent.
Already Hired Trainees
A Data Engineer with 2+ years of experience in building data intensive applications, tackling migrations from on-prem to cloud infrastructures. Highly skilled in Machine Learning, Data Analysis, Visualization and Communication.
I am a strong team player, I am comfortable with the use of Tableau and PowerBI, manipulating and cleaning data with numpy and pandas. I have good understanding of the theoretical aspect of ML algorithms like Logistic regression and SVM and also the application using python packages like sklearn.
Junior data scientist capable in python programming, data mining, cleaning, analysis, visualization and interpretation of large datasets. Possess analytical skills, problem solving skills, strong attention to details and ability to work in a team environment.
I am a junior data scientist skilled in data processing, visualization and building machine learning models . Intrigued by the process of finding meaningful information in collections of data and using that information to tell a story
Iyanuloluwa has a keen interest in unlocking business potential using his ability to find patterns in data which helps drive better decisions, A great team player who takes pride in excellent work and delivering results
I'm a self-taught software Engineer and Machine Learning Engineer. I can write production level code using python, build an automatic machine learning pipeline and with experience from self-learning I can quickly learn new techniques required for a particular task.
Lawal is a goal-driven data analyst who brings out both the obvious and the most obscure insights out of business data to drive decisions through the use of Excel and several Python libraries such as Pandas, Matplotlib, Numpy, Sklearn, Seaborn etc.
A data scientist who takes pride in building models that translate data points into business insights with experience in executing data-driven solutions to increase efficiency, accuracy, and utility of internal data processing.
Victoria is an undergraduate with a strong math background and experience working as an intern in an agile environment. She is seeking to leverage data visualization and data mining skills to solve business problems.