I am a data enthusiast with a passion for solving world problems by employing data analytics and Machine Learning.
I am also experienced in advanced sourcing and analysis of operations data plus hands on approach in community
development and capacity building. I have an Excellent understanding of software-based tools for productive exploration of data and a keen interest in solving world problems with the
use of data analytics. Expert on digital training on various platforms and one-on-one coaching and mentorship.
In the workplace, I have been described as a culture shaper with an aptitude for creating communities. My experience working and volunteering in community development facilitates my ability to intelligently tether the learnings from the
field and incorporate it in data analytics for problem solving.
My goal is to grow as a data scientist and mentor young women into careers in data science.
Well, I am not all about data… I am an amazing baker too! I bake the most scrumptious cakes and cookies. My favourite cake to bake is the classic red velvet cake… Don’t you just love how the cream cheese frosting melts into your mouth!
Download my ResumeData analytics using Python and R. Using Machine learning algorithms to make insights from data.
Data storytelling using Tableau and PowerBi.
Using HTML, CSS and JavaScript to build responsive web pages.
I translate data into valuable and comprehensible insights. My goal is to improve results, make the right decisions and save costs. I am experienced in machine learning, supervised and unsupervised algorithms and use data visualization techniques to present the results. I use SQL, R, Python, PowerBi and Tableau for my data projects. I also enjoying creating beautiful and responsive websites and landing pages using HTML, CSS and JavaScript.
Using data from bank transactions, I built a fraud detection algorithm using Random forest and K Nearest Neighbours.
Fraud DetectionUsing NLP, I built a Naive Bayes algorithm to do an analysis of reviews given to a restaurant.
Sentiment AnalysisInvolves the identification of key information in the text and classification into a set of predefined categories. An entity is basically the thing that is consistently talked about or refer to in the text.
Name Entity RecognitionUsing HTML, CSS and JavaScript, I recreated one of my favourite childhood games.
Simon SaysWant to connect over a coffee and a slice of heavenly red velvet cake and talk about Data? Email me!