Data Science | Big Data Hadoop and Spark developer | Machine Learning | Business Intelligence Analytics | User Experience & Graphics Design
"coincidence and correlation is just an analysis away. Let me guide you"
The day I came across the words 'Data' and 'Science', it sparked a deep curiosity. As a Physiologist, I understand the benefits of integration and this was what motivated me to pursue Data Science. Not just because the data science process is an integration of several processes to extract insights, but because I believe Africa’s most pressing problems are going to be solved by technology. My insatiable thirst for knowledge has pushed me towards Machine Learning, Big Data and spark development, Business Intelligence, UI UX and Graphics design. My goal remains to create solutions by helping organizations make data-driven decisions.
Data transformation, data mining, data ingestion and warehousing (ETL tools), Cloud computing, and Real-time processing using a variety of tools like Hadoop Eco-systems, Spark, Talend, Pig, Hive, Scala, MongoDB, Sqoop, Kafka, Databricks etc.
I use statistics and programming languages like Python, R, SQL, D3.js, Gretl, PostgresSQL, Django, Flask to analyze datasets, build web apps and create models (machine learning, deep learning) for predictive analysis.
I build interactive dashboards, reports and other visualizations using tools like Tableau, Microsoft Power BI, Excel/Google Sheets, Qlik and Orange
I am fluent in using Adobe Illustrator, FIgma, Photoshop, XD and other design and prototyping tools to optimize web and mobile-based user experience. I also create visual branding tools (Logos, Flyers, Banners, Pamphletes, Invititation cards, business cards) for individuals and businesses .
Reduce the time a Mercedes-Benz spends on the test bench. Problem Statement Scenario: Since the first automobile, the Benz Patent Motor Car in 1886, Mercedes-Benz has stood for important automotive innovations. These include the passenger safety cell with a crumple zone, the airbag, and intelligent assistance systems. Mercedes-Benz applies for nearly 2000 patents per year, making the brand the European leader among premium carmakers. Mercedes-Benz is the leader in the premium car industry. With a huge selection of features and options, customers can choose the customized Mercedes-Benz of their dreams.
Comcast is an American global telecommunication company. The firm has been providing terrible customer service. They continue to fall short despite repeated promises to improve. Only last month (October 2016) the authority fined them a $2.3 million, after receiving over 1000 consumer complaints. The existing database will serve as a repository of public customer complaints filed against Comcast. It will help to pin down what is wrong with Comcast's customer service.
The prevalence of heart disease has been rising every day at an extraordinary and exponential rate. The aim of this project is to diagnose heart disease early through meticulous treatment that will help prevent many cardiovascular diseases. This study examines a statistical model of heart illness that, based on the patient's basic health history, can be used to predict heart disease in medical examiners and cardiac specialists. The Logistic Regression Classifier, K-Nearest Neighbors Classifier, and Random Forest Classifier are three distinct Machine Learning Classifier Models that were utilized to construct this prediction model.
The web analytics team of www.datadb.com is interested to understand the web activities of the site, which are the sources used to access the website. They have a database that states the keywords of time in the page, source group, bounces, exits, unique page views, and visits. The team wants to analyze each variable of the data collected through data summarization to get a basic understanding of the dataset and to prepare for further analysis.
The dataset provided contains movie reviews given by Amazon customers. Reviews were given between May 1996 and July 2014. Some of the movies hadn’t been watched and therefore, are not rated by the users. Netflix would like to take this as an opportunity and build a machine learning recommendation algorithm which provides the ratings for each of the users.
To view recent projects in my repository as I update them please click the image or "More Projects"
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Check out my dashboards and charts on Tableau
Hi, my name is Simeon and I work as a data analyst/scientist. I hold a Bachelor’s degree in science (Physiology, University of Benin). At a very young age, I always enjoyed looking for deeper meanings of things. So that curiosity pushed me towards several niches. Data science gives me the ability to solve problems by finding patterns that nobody else sees and when I am not analysing data I am designing. Apart from data science and Design, I love watching Football for the predictive fun and banter (I support Arsenal) and also good Music gets me going on a daily.
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