I am a certified Data Science and Healthcare technology professional with a strong background in artificial intelligence, machine learning, deep learning, and cloud architecture. I have a genuine interest in using these technologies to solve real-world problems and make a positive impact on society. I believe that data science has the power to transform industries and improve people’s lives. My vision is to develop an AI solution that will identify malaria disease in Africa. I am open to working as a contractor and providing consultancy on Data science | Data analysis | Data Engineering | MLOps. Do check my Data Science Porfolio
CitiusTech is a specialized provider of healthcare technology and business process services to healthcare technology companies, healthcare providers, managed care organizations, health plans and disease management companies.
Elevated Technologies providing Houston businesses with innovative IT support and technology solutions since 2006. Providing solutions in managed IT, cloud computing, flat rate IT support, manage network security..
A trusted and certified Software Development and Consulting company, that delivers exceptional customer experiences and end-to-end software solutions that enable companies to create and transform applications, automate business processes, and increase operational visibility in line with their unique possibilities.
Panus is the leading software development company in Silicon Mountain Buea. Providing consultancy and building systems to fit client needs.
July 2014 - Oct 2016, Dschang
Leading government high school in the Western region of Cameroon known for her state of the art training of excellent senior highs in STEM.
2018-2020 MSc in Applied StatisticsPublicationsTaken Courses
| ||||||||||||||
2014-2016 MSc. in Computer ScienceTaken Courses
Extracurricular Activities
| ||||||||||||||
2007-2010 B.Sc. in Mathematics & Computer ScienceTaken Courses
Extracurricular Activities
| ||||||||||||||
Advance Level CertificateTaken Courses
Extracurricular Activities
|
Cluster customers reviews on twitter corpus based on recurring patterns. We should be able to get a sense of the specific topic in each cluster, what the customers are complaining about based on specific patterns. The twitter corpus contains a lot of noise and we will try to minimize this and create sense out of the data.
Time Series analysis to forecast future daily, weakly and yearly sales with Facebook Prophet based on historical sales data while taking into account seasonality effects, demand, holidays, promotions, and competition etc.
Using memory-based collaborative filtering in python to be able to recommend and predict review/ratings for over 2MB records.The Centered cosine similarity which takes into account effect of empty ratings/reviews is used to model this problem.
Design an end-to-end business intelligence solution with PowerBi to track KPIs(Sales, Revenue, Profit, Returns)compare regional performance, analyze product-level trends and forecasts, and identify high-value customers.
Provided with Restaurant Cafe data , leverage price elasticity with historical Cafe sales data to measure customers’ responsiveness towards quantity demanded or supply due to price changes and find the optimal price to set for their items for maximum profit i.e striking a balance in low or high price for optimal profit.
An interactive visual analytics for capstone project in real time for spaceX launch data. I have hosted this dash application on Heroku app platform. With this app you can get a visual idea on which site has largest successful launches, sites with highest/lowest launch success rate and with payload ranges. Which F9 Booster?
The course provides expert support, helps develop extensive skills and expertise, and has a focus on what’s necessary to attain a competitive edge in the job market. It is extensive with 9 skill-building courses, and goes in-depth . through the application of theory and practical applied learning techniques in ML, AI, Python, SQL, DS methodologies, IBM Watson working with IBM db2 instances in IBM cloud and integrating all these with a Capstone project.
I learned to build and train NN architectures such as CNNs, RNNs, LSTMs, Transformers, and how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more. I have master theoretical concepts and their industry applications using Python and TensorFlow and tackle real-world cases such as speech recognition, music synthesis, chatbots, machine translation, natural language processing, and more.
This course helps to understand the key concepts such as networking, storage, security, maintenance, logging and monitoring, application lifecycle, troubleshooting, API object primitives etc. It also help to grow the ability to establish basic use-cases for end users.
Through four progressively more difficult SQL projects with data science applications, I covered topics in SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more.
This course is a complete guide to master and pass the AWS certified machine learning specialty exam (MLS-C01). A deep dive in AWS SageMaker, machine learning and the nuances of feature engineering and model tuning. AWS EC2, S3 data lakes, AWS Glue and Glue ETL, AWS Kinesis etc.
Learn Geospatial Analysis, Data Analysis, and Data Visualization on public Tableau. I have worked on Multiple real-life projects during my course. Design and deliver a professional-quality, end-to-end business intelligence solution, armed only with Power BI and a handful of raw csv files.
A journey from simple data to machines that can help us accurately predict outcomes and formulate actionable insights.This class takes us through that journey from data … to information … to predicting and changing future care, in a simple and understandable format.
The ELK Stack is a powerful set of tools for log analysis and data visualization, consisting of Elasticsearch, Logstash, and Kibana. I have acquired expertise in the ELK Stack through hands-on experience and training, and I am capable of leveraging these tools for various data analysis, data indexing and visualization tasks.
Advanced Excel skills through Projects that enable maximizes various data analysis, visualization, machine learning, cleaning and preprocessing. These skills have allowed me to work with large datasets and extract meaningful insights from them.
