Summary
Data Scientist and Analyst with a multi-faceted background encompassing Machine Learning, Web Analytics, Project management, and Business Analysis. Proven ability to assess and manage complex obstacles; viewed as a strong troubleshooter. Successful in providing decisive data insights, predictive modeling, data processing, database handling, and excellent communication skills to perform as an adept Analyst /Scientist.
Skills
Web Analytics (intermediate) Project Management (intermediate) Tableau (intermediate) Kubernetes (intermediate) AWS (intermediate) Digital Analytics (intermediate) Microsoft Power Bi (intermediate) MySQL (intermediate) Machine Learning (intermediate) ▪ Business Analysis (beginner) Data analysis and visual representation (intermediate) Data Analysis and statistical Modelling (beginner) Business intelligence analyst (intermediate) python, data science and machine learning (intermediate) Data Analytics (intermediate)
Experience & Projects
Personal Project
Sep 2022 - Sep 2022
Data Scientist
Text Analysis (Sentiment Analysis and Topic Modelling) The task here is one that shows how well text analysis can deliver insights and inform decisions. The project thus focuses on public perception of Rape, gathering data from many areas relating to the same theme. The analysis revealed a negative public perception of Rape in all its occurrences. This was achievable by extracting adjectives used in the texts and identifying the ones that appeared most frequently. As we understand them, adjectives are words that qualify or modify. This brings it into good use when ascertaining the qualities of a sentence. As a result, we compiled a list of the adjectives that appeared most frequently in the phrases before determining their sentimental polarity. It became clear that a bigger percentage of the words were negative, implying that the sentences themselves were negative. Also, the project incorporated ‘Topic Detection’ which is the grouping or bucketing of similar themes that can be relevant for classifying texts. There are six topics under which the model was created. The model used algorithms such as TfidfVectorizer, RandomForest Classifier …
Stutern Accelerator
Sep 2022 - Sep 2022
Data Scientist
. Data Exploration and Cleaning . Predictive Modelling . Machine Learning . API and Hosting
Personal Project
Jul 2022 - Sep 2022
Data Scientist
Unsupervised Learning The task to which solution is to be proffered is to conduct customer segmentation to assist the business in deciding what advertising strategy will be most effective for a specific group of customers in order to improve market focus, price products differently, foster loyalty, develop better product bundles, and customize goods or services. My Approach: Hypothesis Building: The most crucial step in the whole process is hypothesis building. This becomes possible having understood the data. Here are the questions asked: 1. How often do customers buy on one go? 2. What hinders or discourages customers from making purchases? 3. What socioeconomic class is the majority of the client base? 4. Do customers prefer to buy in installments or pay in advance? 5. What is the Credit Limit of customers in relation to their balances? Shortlist Variables: I shortlisted all variables that might be useful in answering these hypothetical questions, cleaned them, and prep them for analysis. Clustering: The client base was clustered into different segments in accordance with the hypothetical questions using the Kmeans clustering algorithm from sklearn. In each hypothesis, the algorithm was able to segment the customers into the least of four classes. The Elbow Method was used in ascertaining the optimal number of cluster classes suitable.
Education
Federal University, Oye-Ekiti, Ekiti State
Economics , BSc.
2016 - 2019
Awards & Certifications
Financial Risk Analytics
Great Learning
2022
Business Analysis Masterclass
Business Analysis School
2022
Digital Analytics
Google Analytics School
2022
Complete Data Science Bootcamp
Udemy
2022
Scrum Fundamentals Certified (SFC)
SCRUMstudy - Accreditation Body for Scrum and Agile
2021
Six Sigma Yellow Belt
6sigmastudy - The global certification body for six
2021
Analyzing and Visualizing Data with Microsoft Power BI
SimpliLearn
2021
Certificate of Capability in Business Analysis (CCBA)
SimpliLearn
2021
Introduction to Business Intelligence
Corporate Finance Institute.
2021
Hobbies & Interests
Big data Software Engineering Cloud computing