Jorge Lindley

Data Scientist

Creating meaningful insights from complex data


Data Analysis

Data Analysis is the process of inspecting, cleansing, transforming, and modeling data to discover meaningful insights, draw conclusions, and support decision-making. It involves applying statistical and analytical techniques to explore patterns, relationships, and trends within datasets, unlocking valuable information and driving data-driven strategies.

Data Visualization

Data Visualization involves representing complex data and information in visual formats such as charts, graphs, and maps. It enables the effective communication of data patterns, trends, and relationships, allowing for easy comprehension and decision-making based on visual insights.


Data Dashboards are interactive visual displays that provide a consolidated and real-time view of key metrics, performance indicators, and trends within an organization or system. They allow users to monitor and analyze data in a user-friendly and customizable manner, enabling informed decision-making and proactive management.

Machine Learning

Machine Learning is a subset of artificial intelligence that focuses on developing algorithms and models that allow computers to learn and make predictions or decisions without being explicitly programmed. It involves training machines to recognize patterns and learn from data, enabling them to automate tasks, make accurate predictions, and improve their performance over time.


Jorge Lindley Ph.D.

With a robust background in Data Analysis, Numerical Modelling, Mathematics, and Statistics, I specialize in leveraging intricate and diverse datasets to deliver actionable insights to stakeholders. Currently, I am actively expanding my skill set to encompass the realms of AI and Machine Learning.

Having successfully completed a Ph.D. in Mathematics and Statistics at The University of Warwick in the UK, my research involved developing numerical simulations of atmospheric models and meticulously analyzing the associated data to explore the intricate mechanisms within the atmosphere that have eluded current weather models. This invaluable experience sparked my profound interest in the realm of data analytics. Following my relocation to the US, I embarked on a fulfilling journey as a freelance data scientist.

Drawing from my multifaceted experiences across the domains of education, academia, finance, and retail, I possess a comprehensive understanding of a wide array of industries and the profound impact that data-driven decision-making can have on their growth and success.

Click to view examples of my work.



Data Analyst


Lyndon Institute, VT, USA

Data Scientist



Department Manager


The White Market, VT, USA

Postgraduate Researcher


Mathematics Institute, The University of Warwick

Sports Team Manager & Treasurer


University of Warwick Archery Club


Ph.D. Mathematics and Statistics


The University of Warwick, UK

Research Areas: Numerical Analysis, Statistical Techniques, Computational Fluid Dynamics, Atmospheric Dynamics, High Performance Computing

Postgraduate Award in Transferable Skills


The University of Warwick, UK

Courses: Teamworking, Science Communication, Scientific Writing

Master’s in Mathematics


The University of Warwick, UK

First Class Honours

Awards & Certifications


Google Data Analytics Professional Certificate


Machine Learning - Stanford University | Coursera


EPSRC Full Research Grant for MASDOC.