Hi, I'm Stephen Olet.

A
Results-driven Business Intelligence Analyst with a curious and analytical mindset, passionate about tackling complex challenges and transforming data into actionable insights to solve real-world problems.
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About

From data gathering, cleaning and exploration, to building predictive models and creating data visualizations, I am dedicated to delivering high-quality solutions. I love the entire process of solving complex business problems & leveraging complex data into actionable insights that empower decision-making.

My Github profile showcases various Python, PostgreSQL, Machine Learning, Data Analytics, NLP and Data Modeling projects that demonstrate my technical abilities and ability to apply data analytics concepts to real-world problems.

    I thrive in environments that encourage professional growth, innovative problem-solving, and collaboration, allowing me to contribute to organizational success while advancing my expertise. Let’s turn data into decisions that drive real-world impact!

Projects

  • Machine Learning Projects

Screenshot of web app
Head Counting System

The system utilizes YOLOv8, a state-of-the-art object detection algorithm to detect people.

Accomplishments
  • The real-time head-counting system is designed to detect and count the number of people present in images or live video streams.
quiz app
Recommender System

A course recommendation system implemented using Streamlit, a Python framework for web apps.

Accomplishments
  • Tools: The system loads various datasets such as ratings, course similarities, user profiles, course genre information, and bag-of-words representation of courses.
  • Once the model is trained, the system generates course recommendations based on the selected model and user inputs. The predict() function takes the model name, user IDs, and additional parameters as input and returns the recommended courses.
Screenshot of web app
Visual Question Answering

Attention-based classification model that generates an answer for a given input image.

Accomplishments
  • Incorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term Memory for extracting question embeddings.
  • Tested the model on an online demo with explanation and tutorial on Visual Question Answering images.
  • Obtained 78.72% overall accuracy on the VQA evaluation metrics.

  • Data Analytics/Visualization Projects

Screenshot of web app
Tableau Projects

Dive into interactive and visually compelling data visualizations created using Tableau.

Accomplishments
  • Explore dashboards covering a spectrum of topics, from sales analytics and business performance to market trends and demographic analysis.
  • Engage with a growing collection of Tableau dashboards covering financial trends, HR analytics, streaming service insights, real estate dynamics, and more.
Screenshot of web app
Power BI Projects

Discover a curated collection of dynamic PowerBI dashboards with financial analytics, HR metrics...

Accomplishments
  • Engage with interactive and visually appealing data visualizations created using PowerBI, offering an immersive exploration of datasets.
  • Explore dashboards covering a range of topics, including but not limited to streaming services analysis, stock market trends, and regional real estate dynamics.
Screenshot of web app
Streamlit Applications

This repository provides a growing collection of curated content around Data Science, ML, and AI.

Accomplishments
  • Everyday Python – Streamlit App – your interactive playground for exploring Python's versatility and Streamlit's dynamic capabilities.
  • SACCO Loan Management App – your comprehensive solution for managing savings, deposits, loans, and financial activities within a Savings and Credit Cooperative Organization (SACCO).

Skills

Languages and Databases

Python
HTML5
CSS3
MySQL
PostgreSQL
MongoDB

Libraries

NumPy
Pandas
TensorFlow
scikit-learn
matplotlib

Tools & Technologies

Git
AWS
JIRA
PowerBI
Tableau

Education

Manipal Academy of Higher Education

Karnataka, India (July 2022-December 2024)

Degree: Master of Science in Business Analytics

    Relevant Course Modules:

    • Database Management
    • Big Data Analytics
    • Machine Learning
    • Deep Learning Methods
    • Time Series Analysis
    • Project Management
    • Applied Multivariate Analysis

Makerere University University

Kampala, Uganda (July 2002-October 2006)

Degree: Bachelor's Degree in Economics (Hons)

    Relevant Course Modules:

    • Quantitative Methods
    • Business Econometrics
    • Financial Accounting
    • Micro-economics
    • Mathematical Economics
    • Macro-economics
    • Research methods

Contact

💬 If you have any project collaboration request, please do not hesitate to reach out to me!

+256784973491

stephenolet@gmail.com

github.com/stephen-olet

linkedin.com/in/stephenolet