Position: Junior Data Scientist
Category: Data Science
English level: fluent
Years of experience: 1


I led the research on implementing predictive maintenance on a 3D-printer. This helped us identify appropriate sensors that should be used to improve the effectiveness and efficiency of the 3D-printer by 20%
 Built an OCR feature on the customer registration platform. This improved the efficiency of the registration process by 30%
 Implemented a facial recognition model using OpenCV. I later improved the model by implementing the model by building neural networks using TensorFlow thus improving the accuracy by 10%
 Worked with a team to build a recommendation system for a marketplace using collaborative filtering techniques
 Assisted in data collection, cleaning, preprocessing and analysis for various projects
Built a machine learning model to predict volumes of emissions in gas flaring regions. This was implemented by comparing different machine learning models in Time Series Analysis.
 Implemented a facial recognition and facial verification models using TensorFlow taking advantage of callbacks when desired thresholds were achieved.
 Built a Neural Style Transfer model that I used to generate different ‘artistic’ portraits. This was also implemented using TensorFlow.