About Me
My name is Lawrence Moruye,an Outstanding data scientist passionate in manipulating and analyzing data from varying data sources and with 3+ years experience in building models that translate data points into business insights. Eager to further contribute to the future of machine learning and its application.
As a machine learning Engineer, I've worked in the areas of computer vision, Natural Language processing,Time series Forcasting and Model Deployment.With interests in the fields of Computer Vision,NLP and Geometric Deep Learning, I hope I'll produce research that will improve life and technology in future
Here are a few technologies I've been working with:
- Python
- Pytorch
- Tensorflow
- Flask
- Docker
- FastAPI
- Fastai
- SQL
Where I’ve Worked
Data Scientist Teaching Assistant @ Huru School
Jan 2021 - April 2021
- A 16 week picodegree where I guided students in both theoretical and practical aspects in the following fields
- Introduction to Data Science using and Python
- Data collection and storage best practices
- Data analysis and Visualization
- Practical and relevant statistics(descriptive and inferential)
- Introduction to big data using pyspark
- Deep Learning.
- Machine Learning(Supervised and unsupervised learning)
- Project proposal,defense and implementation
Some Features that Made us Unique
Featured Project
Zindi Competitions
I have Participated in over 40 different Zindi comeptitons and hackathons both individually and collaborated with other teams.My best ever rank on zindi was 9th of 25,000+ data scientists globally.I have worked on various challenges in different dormains including but not limitted to Agriculture,Insurance,Banking,Healthcare,Logistics,Transportation among others I managed to secure respectable positions in many of those challenges.
- Python
- Pytorch
- Sklearn
- Algorithms
- Tensorflow
- Rasa
- FastAPI
- tweepy/twint
- fastai
Featured Project
Computer Vision
Machine learning model that classifies farm fields in Kenya by crop type using Sentinel-2 satellite imagery.
- Computer Vision
- Pytorch
- Remote sensing
Featured Project
Mentorship
Through Zindi I was part of the mentors who voluntereed for Eight weeks to offer a structured mentorship where groups of three young data scientists were matched with an experienced mentor
- Python
- Data Analysis
- Machine Learning
Featured Project
UmojaHack Africa
UmojaHack Africa brought more than 1000 data science students from across Africa on March 21 2020.
- Machine Learning
- Agriculture
- Remote sensing
Featured Project
"best display in data services"
During 2020's Nairobi international trade Fare(ASK Show) as a team of 4 from Multimedia University of Kenya we came up with a prototype solution to improve food security in Kenya(Combinng both IOT and AI).won the 1st place Under category of best display in data services and Mobile services.
- Artificial Intelligence(AI)
- Internet of things(IOT)
Featured Project
Won a Logistics Datathon
A two day data science and machine learning datathon running concurrently Nairobi(Kenya) and CapeTown(South Africa) to solve a Logistics challenge.I Won the challenge and got featured by BBC News. Here is the full story
- Machine Learning
Featured Project
Kaggle medalist
Using natural language processing (NLP) to automate the discovery of how scientific data are referenced in publications. Utilizing the full text of scientific publications from numerous research areas gathered from CHORUS publisher members and other sources.
- Python
- pytorch
- Bert
Featured Project
Among Winners of Ambulance Parambulation
Using technology to ensure ambulances are placed efficiently across different locations based on different factors in Nairobi as a way of reducing morbidity and mortality through post-crash care.The datathon was held in Ihub Nairobi and was sponored by Uber,Flare.I finished 4th runners up.
- Optimization(SGD)
- pytorch
Other Noteworthy Projects
view the archiveResnet Implementation From scratch(Pytorch)
This is my implementation of the Deep Resdual Learning for Image Recognition(Commonly known as Resnet) paper using Pytorch.The Architecture is further tested on CIFA10 dataset.
U-NET for Image Segmentation
This repo contains my implementation of Convolutional Networks for Biomedical Image Segmentation Paper(U-Net) using pytorch.
Geometric Deep Learning
A collection of my labs on Geometric Deep Learning based on the protobook in the above link.
Foundations of Machine Learning
My notebooks on foundations of machine learning using python and pytorch.Some of the Algorithms are implemented from scratch
Machine Learning in Production
Deployed a machine Learning model on heroku that predicts whether an individual qualifies for a loan or not based on some variables
Bert for NLP
machine learning model to assess if a twitter post that is related to vaccinations is positive, neutral, or negative.
What’s Next?
Get In Touch
I will be glad to contribute/work on any project regarding Data science/Machine learning
Say Hello