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Portfolio

Data Science Portfolio

Welcome to Funmilayo Aina’s Portfolio

A Portfolio of the compilation of all projects I have done for academic, self-learning and hobby purposes. This portfolio also contains my certificates, skills and, achievements.

LinkedIn: Funmilayo Aina

About me

Funmilayo is a graduate of Biology Education, with a career shift to Data Science / Analytics. She is enthusiastic about data and the use of data oriented and analytical skills to promote business intelligence, decision making and actionable insights. A proactive fast learner of emerging technologies seeking an opportunity to increase aptitude in analytics and to work in a machine learning domain, utilizing analytical and methodical skills to help the company achieve business goals.

The Journey of a Data Scientist

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Projects

Women Techsters Fellowship 2021(Data Science and AI Track)

Module 1:

Module 2:

Module 3:

Module 4:

Entry level challenge(Data Analytics Track

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Udemy Business Analysis

About Project

There is a need for increasing revenue generation by Udemy. We have been asked to analyze the given historical dataset for trends that could show the impact of increasing the cost of web development courses as a means of generating the desired revenue.

Tracking courses performance on revenue generation and analyzing if charging more on popular courses would have a positive impact on Udemy revenue generation. Understanding where opportunities to increase revenue may lie. Furthermore analysis would allow us to size the business impact of a proposed increments.

👩View findings on Tableau

BCG Open Access Advance Analytics and Machine Learning( Churn Prediction)h-heyerlein-ndja2LJ4IcM-unsplash

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About project

PowerCo is a major gas and electricity utility that supplies to corporate, SME (Small & Medium Enterprise), and residential customers. The power-liberalization of the energy market in Europe has led to significant customer churn, especially in the SME segment. They have partnered with BCG to help diagnose the source of churning SME customers. One of the hypotheses under consideration is that churn is driven by the customers’ price sensitivities and that it is possible to predict customers likely to churn using a predictive model. The client also wants to try a discounting strategy, with the head of the SME division suggesting that offering customers at high propensity to churn a 20% discount might be effective. We have been asked to go deeper on the hypothesis that the churn is driven by the customers’ price sensitivities. Detail in the repo

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Predicting Boston Housing Prices

A model to predict the value of a given house in the Boston real estate market using various statistical modelling tools. Identified the best price that a client can sell their house utilizing machine learning.

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Titanic Disaster peter-hansen-MeGmdPNe36w-unsplash

Exploratory Data Analysis and Machine leanring through Titanic Disaster Competition, Simple analysis of house prices including quick visualizations with correlation plots,Swarmplots and heat maps.

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Techical Skills

Basic knowledge in:

[Data Analysis and Visualisation] luke-chesser-JKUTrJ4vK00-unsplash

Data Analysis and Visualization (Python Programming) projects

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Inferential Statistics and statistical modelling

Women Techsters Mini project

Web Crawling

Web Crawling with BeautifulSoup: Use of BeautifulSoup to collect and clean job listing data from twittter.com and others


Experience

Working and Learning Repository:


Achievements

Publication:

Udemy Marketing Analysis A unique insight :

SQL Challenge:

Certificates

View Certificates💻

-Data Science and Analytics Intro : -Data Science Fundamentals

Statement of Participation

Professional Association

Visit my github repositories,Tableau or Funmilayo.Aina@pythonanywhere.com to read more about me.