Adeyemi Adelaiye

A meticulous, organized and growth focused individual seeking an entry level position in the field of data analytics. I want to apply my newly learnt skills in creating stories out of data, cleaning data and presenting business solutions. Certified with Post Graduate Program in Data Science from MIT Professional Education. Willing to showcase my newly learned skills in Analytical tools, Statistics, Data Visualization/Storytelling and Computing Methodologies in the professional environment.

PROJECTS:

Project - 1

Project title: MALARIA PREDICTION MULTIMODEL CLASSIFICATION (Deep Learning (Multimodel for Classification)

Description: Created a Convolutional Neural Network Deep learning CNN (Convolutional Neural Network) modelcapable of predicting malaria infection using red blood cell images. Project which aims at building a Deep learning model and classify text and images from dataset randomly given by user

This work proves that that deep learning algorithms can be useful in assisting with malaria detection, diagnosis and reducing manual labor with low-cost effective and accurate solutions.

Tech stack used: Python, git, Deep learning techniques.

Project - 2

Project title: Predicting Potential Customers (Decision Trees and Random Forest)

Description: Analyzing and building an ML model to help identify which leads are more likely to convert to new customers. Finding the factors driving the conversion process and creating a profile of the leads which are likely to convert potential customers to new customers

Project - 3

Project title: Recognizing House Number Digits from Street View Images Using Neural Networks

Description: Building a feed-forward Neural Network model that can recognize the digits in the images. Featuring transcribed numbers of street addresses to help pinpoint the location of buildings. Demonstrating the ability to process visual information using machine learning algorithms.

Dataset Used: The SVHN dataset contains over 600,000 labeled digits cropped from street-level photos.

Project - 4

Project title: Analyzing Different Aspects of Diabetes

Description: Analyzing different aspects of Diabetes in the Pima Indians tribe by doing Exploratory Data Analysis using python (pandas, seaborn, matplot lib).

Other Accommplishments

ACHIEVEMENTS:

2022 Achievement, In top 6% in MIT ADSP leaderboard ranking.

2022 Achievement, In top 5% till now in Analytics Vidhya Tableau 2.0 certifcation.

• Collaborated with team of 6 creative and innovate people in the development of new product lines.
• Documented and resolved quality assurance logs which led FDA approvals for new products.

My Soft Skills:

• Critical Thinking
• Flexible and Adaptable
• Self-Motivated
• Innovative
• Good team player