Reilly Leach
A Computer Science student specializing in Data Science and Artificial Intelligence. Passionate about transforming raw data into actionable insights, I combine my knowledge of algorithms, machine learning, and programming to solve real-world challenges. Whether it’s building predictive models or analyzing complex datasets, I am committed to making data work for you.
Unlocking the Power of Data to Drive Innovation
- Name: Reilly Leach
- Job: The Data Scientist
- Age: 32 years
- Residence: Huambo Province, Angola
- Hometown: Avenida 4 de Fevereiro, Nº 125 Luanda, Angola, Chela
Hi, I’m Reilly Leach, a motivated and detail-oriented Data Science enthusiast with a background in Computer Science. I’m currently pursuing my degree at Lesotho University, where I specialize in Machine Learning, Data Analytics, and Artificial Intelligence. My academic journey has equipped me with strong problem-solving skills, as well as proficiency in programming languages like Python, R, and SQL, along with hands-on experience in data visualization tools like Tableau and Power BI.
Through internships, research projects, and freelance work, I have gained valuable experience in applying data science principles to real-world problems. I’ve worked on a variety of projects ranging from predicting customer behavior using machine learning models to building dashboards that visualize key performance indicators for businesses.
Beyond the classroom, I’m constantly learning new techniques and tools in data science, and I love exploring how cutting-edge technologies like AI and deep learning can revolutionize industries. My goal is to continue developing my skills and collaborate with like-minded professionals who are passionate about making data-driven decisions.
My Work
Custom Data Solutions
Every business is unique, and so are its data needs. I offer custom data solutions tailored to your specific challenges. Whether it’s building a data pipeline, automating reports, or creating a unique algorithm, I provide scalable and efficient solutions to optimize your data processes.
Predictive Analytics & Forecasting
With predictive analytics, I help businesses anticipate future trends and behaviors by analyzing historical data. Using advanced techniques like regression analysis, time series forecasting, and machine learning, I build accurate models that help you make data-driven decisions and plan for the future.
Machine Learning Model Development
I specialize in developing machine learning models to solve complex business problems. From data preprocessing and feature engineering to model evaluation and deployment, I guide you through the entire ML pipeline. Whether you're looking to build a predictive model or automate tasks, I can create a solution tailored to your requirements.
Data Analysis & Visualization
I offer data analysis and visualization services to help businesses understand and leverage their data effectively. By using tools like Python, R, and Tableau, I help uncover insights and trends that are essential for decision-making. Whether you need a simple report or an interactive dashboard, I can tailor the service to your unique needs.
My Education
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Certification
Machine Learning by Stanford University – Andrew Ng (Coursera) 2008Focused on supervised learning, neural networks, regularization, and practical ML workflows using Octave and Python. Strong foundation in model evaluation and selection.
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Certification
IBM Data Science Professional Certificate (Coursera) 20079-course specialization covering Python, SQL, data visualization, machine learning, and applied data science. Built multiple projects using Jupyter Notebooks and real-world datasets.
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Diploma
Diploma in Data Analytics 2004Completed an intensive professional training program covering data wrangling, visualization, SQL, Python for data science, and real-world analytics projects using Pandas and Tableau.
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Undergraduate
Bachelor of Science in Computer Science 2008Focus in Data Science and Artificial Intelligence. Completed key coursework in Machine Learning, Data Mining, and Statistical Modeling. Participated in university-sponsored AI research and led multiple data-driven projects.
My Experience
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Insight Analytics Ltd.
Department of Advanced Analytics | Data Science Intern
01 Mar 2017 - 01 May 2017Collaborated with the analytics team to process and analyze customer data using Python (Pandas, NumPy, Matplotlib) Built machine learning models (Random Forest, Logistic Regression) to predict customer churn with an 87% accuracy rate Designed interactive dashboards in Tableau to present KPIs and trends to non-technical stakeholders Conducted A/B testing for product features, contributing to a 12% increase in user engagement
❌ No Longer Working Here -
Nelson Mandela University
Department of Computer Science | Undergraduate Research Assistant – Data Science & AI
01 Dec 2016 - 31 Mar 2017Assisted in a funded research project focused on predictive modeling in healthcare outcomes Cleaned, merged, and analyzed clinical datasets (100K+ records) using Python and SQL Built and evaluated supervised ML models (SVM, Decision Trees), improving model accuracy by 15% Co-authored a paper presented at the Mandela University's AI Research Symposium
❌ No Longer Working Here -
Lesotho Univeristy
Department of Data Science | Machine Learning for Finance
01 Jun 2016 - 29 Sep 2016Led a team of 3 in building a stock price movement predictor using historical data and sentiment analysis Used LSTM neural networks and sentiment scoring from Twitter API data Delivered final presentation to faculty and industry panel, receiving top marks for innovation and impact
❌ No Longer Working Here -
Cooley Banks Inc
Independent Project | Freelance
01 Jan 2016 - 07 Dec 2016Collected and analyzed e-commerce sales data using Python and Power BI Created a sales performance dashboard with filters by product category, time period, and region Implemented correlation analysis to identify top factors influencing sales volume
❌ No Longer Working Here -
Guthrie and Mathis Plc
Finance | Mergers and Acquisitions
01 Jan 2010 - 01 Feb 2015I’m currently looking for opportunities to further develop my skills in a collaborative, impact-driven environment.
❌ No Longer Working Here