tobi-datadetective Goto Github PK

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Name: Tobi Folayan

Type: User

Company: Smarterise

Bio: Identifying trends and making predictions through data manipulations. From exposure to planning and performance. Data investigating to give more insights.

Location: Lagos, Nigeria

Blog: https://www.linkedin.com/in/tobiloba-folayan-03a9439a/

👨‍💻, I'm Tobiloba Folayan (Tobi)

Data Analyst & Scientist

I believe I am a highly effective Data Analyst who possesses a number of core qualities and traits that enable me to produce consistent results for my employer. Over the years, I have built up extensive experience as a Data Analyst and my resume/CV demonstrates this. I have the ability to assess each data analysis task from a strategic perspective; meaning the work I carry out will be beneficial to your organizational goals. I have the ability to work to strict deadlines; a high level of numerical and mathematical ability; an inquisitive and statistical driven approach to all tasks, and I also possess strong communication and interpersonal skills, which means I can fit quickly and seamlessly into any team or department. Finally, I have a natural passion for accurate working and attention to detail, which means if you invest in me and hire me as your Data Analyst, the work I will carry out will be of a high-quality and also useful in terms of helping you move forward as an organization.

Blockchain Enthusiast

My Curiosity about engineering Blockchains, Dapps, DeFi, Parachains and various blockchain ecosystem led me to the world of Smart Contract Development and Web3 Development. I am currently familiarizing myself with building awesome Web3 Frontends and Smart Contracts.

🔵 Connect with me:

Data Science Toolkit:

Database & Cloud Toolkit:

Web Development Toolkit:

Blockchain Toolkit (Level: Beginner)

Code Editors & IDE ToolKit:

Tobi Folayan's Projects

assessments

A pile up of some various assessments carried out

bachelor-thesis

THE EFFECTS OF STORAGE FACILITIES ON SELECTED SEED: USING ANOVA APPROACH

blockchain_application_ds_fullstack

A data science full work flow process with its application in Blockchain

blockchain_segmentation

Clustering various blockchain stocks based on their similarities or trends found by the clustering algorithm

breast_cancer_classification

A light predictive model for breast cancer prediction

cancer_prediction

A KNN and SVC model would be used in developing suitable algorithms to make a prediction on if based on some attributes, the cancer is Benign or Malignant

code

Compilation of R and Python programming codes on the Data Professor YouTube channel.

coding_probabilities

Illustrating a few ways to code probabilities

customer_segmentation

A project on implementing various clustering algorithms for customer segmentation

customer_subscription_prediction

Predict which customer would subscribe after using a free trial version of an app

Implementing three ensemble models- Bagging, Random Forest and Boosting for classification and regression problems. For the classification problem, we used bagging and Gradient boosting on titanic dataset. For the regression problem, we used Random Forest on hitters dataset and Ada boost on advertisement dataset. It is a lab demonstration of FEM2063 Data Analytics course at the UTP, Malaysia.