Freelance Data Scientist & AI Consultant with expertise in predictive analytics, data automation, and business intelligence. I help businesses make smarter decisions by transforming data into actionable insights.
I help businesses and executives harness the power of Data Science
and AI-driven automation to transform raw data into
strategic insights, optimize decision-making, and implement
intelligent solutions that drive growth and efficiency.
With years of experience in Market Intelligence, Data Analytics, and
Business Intelligence, I’ve had the opportunity to apply my
expertise across global industries, working with
multinational companies like Vitapro and AB InBev. My
specialty lies in bridging the gap between business strategy and
data science, ensuring that data-driven insights lead to real
business impact.
I help my clients with:
Currently, I am excited to be scaling up my AI & Data Science
consulting services to help businesses future-proof their
operations with custom AI integrations and data-driven
strategies.
My goal is to accelerate business adoption of AI-driven
automation through rapid Proof of Concepts (PoCs) and
scalable AI-powered solutions.
If you're looking to explore how AI, data science, and
automation can revolutionize your business, I would love to
connect.
Let’s discuss your challenges and how my expertise can help you stay ahead
of the competition. 🚀
Email:[email protected]
Taisuki Taiyaki, a themed Japanese restaurant, hosts multiple events throughout the year to engage customers and strengthen brand loyalty. However, they lacked a structured approach to evaluating event performance. In 2021, the restaurant needed a comprehensive report analyzing a full year of event data to optimize future events and maximize sales impact. The challenge was to extract meaningful insights from historical data to improve decision-making.
I developed an event performance report by accessing and analyzing the restaurant’s historical data. The process involved identifying key metrics such as event duration, total sales per event, and daily sales average to assess success factors. Using SQL for data extraction and Power BI for transformation and visualization, I structured the data into a clear, actionable report. The analysis revealed that events lasting three weeks to a month yielded the highest returns, leading to a strategic adjustment in event planning.
The insights derived from the report directly influenced Taisuki Taiyaki’s event strategy, leading to a 60% increase in sales during the first two events of the following year. The restaurant now leverages historical data to refine event planning, ensuring sustained engagement and revenue growth.
The next step involves integrating real-time tracking and customer feedback analysis to further enhance event effectiveness. Expanding the report’s scope to include seasonal trends and customer behavior patterns will allow for more precise strategic adjustments.
My background in data analysis, SQL, and Power BI was essential in transforming raw event data into actionable insights. By structuring event performance metrics, I provided a data-driven decision-making framework that optimized event planning and maximized sales potential.
Taisuki Taiyaki, a restaurant specializing in taiyaki, was storing sales data but lacked a functional dashboard for decision-making. Without clear visibility into peak hours, the restaurant risked inefficient staffing, leading to unnecessary operational costs. The goal was to develop a sales dashboard to identify sales trends and adjust operating hours accordingly.
To tackle this challenge, we designed a custom sales dashboard to analyze the restaurant’s data. The project involved extracting raw data using SQL, applying transformations in Power BI, and visualizing key metrics such as total sales per month, daily revenue trends, and product-specific performance. By interpreting these insights, we identified periods where sales did not meet the break-even point. After presenting the findings, the restaurant adjusted its schedule, optimizing staff allocation.
The sales dashboard enabled data-driven decision-making, leading to a reduction of two operating hours on Tuesdays and Fridays, when sales were consistently low. This adjustment resulted in a 16% decrease in personnel costs, improving overall efficiency while maintaining service quality.
The next step is to expand the dashboard’s functionality by integrating inventory tracking and customer behavior analytics. These enhancements will further refine operational strategies and improve cost management.
Our team, specializing in data analytics and business intelligence, leveraged SQL and Power BI to transform raw sales data into actionable insights. The result was a scalable, interactive solution that streamlined decision-making and optimized restaurant operations.
This project was part of my Data Science capstone at CoderHouse, where we worked with public data from Olist, a Brazilian marketplace and logistics platform for small and medium enterprises in Mexico and Brazil. The goal was to develop a predictive model capable of forecasting customer reviews based on the available data. The challenge was to clean, analyze, and structure the dataset to build a reliable classification model.
We began by defining the project requirements and accessing the dataset. Using Python, we performed data cleaning, preprocessing, and exploratory data analysis (EDA) to understand key patterns and relationships. Once the dataset was structured, we applied various classification algorithms, including Decision Tree, Random Forest, and XGBoost, comparing their performance to determine the best model. After thorough evaluation, Random Forest was selected as the final model, and we documented the entire development process for future improvements.
While the model was not production-ready, it provided a solid foundation for customer review prediction, highlighting key variables influencing ratings. The project successfully demonstrated machine learning applications in e-commerce, and all team members earned their Data Science certification upon completion.
Further refinements include hyperparameter tuning, feature engineering, and deep learning integration to improve accuracy. Expanding the dataset and incorporating sentiment analysis on customer feedback could also enhance predictive capabilities.
My experience in machine learning, Python, and model evaluation was key to structuring the project. By applying classification algorithms and data science best practices, we developed a scalable and reproducible predictive model for customer sentiment analysis.
The Ecuadorian shrimp industry is highly dependent on global markets such as the United States, China, and the European Union. However, fluctuations in demand, price variations, and regulatory changes create uncertainty, making it difficult for exporters to plan production efficiently. Without a predictive tool, companies struggle to anticipate market trends, impacting competitiveness and profitability. This project aimed to develop a data-driven forecasting model to optimize decision-making in the industry.
I developed a predictive model using SARIMA, Random Forest, and LSTM neural networks to estimate shrimp export trends. The process involved collecting historical export data (2011–2024) from Trademap.org, cleaning and structuring the dataset, and training models to identify patterns in exports. I then implemented a web application to visualize historical trends and future predictions, allowing industry stakeholders to make informed decisions about resource allocation and market strategy.
The model successfully identified key export trends, with LSTM networks demonstrating the highest accuracy, especially in volatile markets like China. These insights enable better production planning, helping businesses reduce uncertainty and optimize export strategies to remain competitive in the global market.
Further improvements include integrating external variables such as economic indicators and climate conditions to enhance prediction accuracy. Additionally, expanding the web application to support real-time data updates will provide even greater strategic value to industry stakeholders.
My experience in machine learning, time series forecasting, and data visualization was critical in developing this solution. By combining statistical and deep learning techniques, I created a scalable and adaptable forecasting framework for economic and industry analysis.
As part of Platzi’s 2024 Hackathon on AI in Education, I collaborated with a team of five in a highly competitive environment, where we tackled the challenge of improving access to personalized educational content. From thousands of applicants, I was selected within the top 100 and took on the role of Data Science and AI Architecture Specialist. Our goal was to create an intelligent assistant capable of dynamically generating learning experiences tailored to individual users.
We developed MIA (My Intelligent Assistant), an AI-powered tool that generates structured courses based on users' interests and expertise. The system initiates an interactive survey to assess learning goals, preferred content formats, and difficulty levels. Leveraging OpenAI’s API, MIA generates modular content in Markdown, integrating theoretical concepts, exercises, and real-world projects. I was responsible for designing the AI system architecture, integrating OpenAI with Azure for cloud deployment, and optimizing prompt engineering and content generation strategies.
The MVP was successfully tested with real users, validating its effectiveness in creating personalized learning paths. The project demonstrated the potential of AI in adaptive education, providing a scalable and structured solution for content generation.
The next step involves refining MIA’s adaptability, improving real-time feedback integration, and enhancing multi-platform compatibility to expand its educational impact.
My expertise in AI architecture, data science, and cloud computing was crucial in ensuring MIA’s performance, scalability, and seamless integration, making personalized education more accessible and dynamic.
Just because we can't get out and about like we normally would, doesn’t mean we have to stop taking pictures. There’s still plenty you can do, provided you're prepared to use some imagination. Here are a few ideas to keep you shooting until normal life resumes.
Most photographers love to shoot the unusual, and you don’t get much more unusual than These Unprecedented Times. Right now everything counts as out of the ordinary. There are a number of remarkable things about these lockdown days that are worth photographing now so we can remember them when it is all over.
Most photographers find it hard to see interesting pictures in places in which they are most familiar. A trip somewhere new seems always exactly what our photography needed, as shooting away from home consistently inspires us to new artistic heights.
Streets empty that are usually busy are remarkable and can evoke the sense of historical pictures from before the invention of the motorcar. Other things that are different at the moment will be queues to get into stores and the lines marked out on the floor to show how far apart we should be.
Pretend everything is new and that you haven’t seen it before, and then you will be free to notice the leading lines, the places where one edge meets another in delightful geometric harmony, and how the ordinary things in the kitchen are transformed when the light is on or off.
The trick here is to look slowly, and then look again. Take the time to look in detail and to look at the same thing from different angles, with different light, long lenses and wide lenses. Then move to the left a bit. You may never feel the need to leave the house again.
By Brook Kennedy 22 March 2021
Just because we can't get out and about like we normally would, doesn’t mean we have to stop taking pictures. There’s still plenty you can do, provided you're prepared to use some imagination. Here are a few ideas to keep you shooting until normal life resumes.
Most photographers love to shoot the unusual, and you don’t get much more unusual than These Unprecedented Times. Right now everything counts as out of the ordinary. There are a number of remarkable things about these lockdown days that are worth photographing now so we can remember them when it is all over.
Most photographers find it hard to see interesting pictures in places in which they are most familiar. A trip somewhere new seems always exactly what our photography needed, as shooting away from home consistently inspires us to new artistic heights.
Streets empty that are usually busy are remarkable and can evoke the sense of historical pictures from before the invention of the motorcar. Other things that are different at the moment will be queues to get into stores and the lines marked out on the floor to show how far apart we should be.
Pretend everything is new and that you haven’t seen it before, and then you will be free to notice the leading lines, the places where one edge meets another in delightful geometric harmony, and how the ordinary things in the kitchen are transformed when the light is on or off.
The trick here is to look slowly, and then look again. Take the time to look in detail and to look at the same thing from different angles, with different light, long lenses and wide lenses. Then move to the left a bit. You may never feel the need to leave the house again.
Just because we can't get out and about like we normally would, doesn’t mean we have to stop taking pictures. There’s still plenty you can do, provided you're prepared to use some imagination. Here are a few ideas to keep you shooting until normal life resumes.
Most photographers love to shoot the unusual, and you don’t get much more unusual than These Unprecedented Times. Right now everything counts as out of the ordinary. There are a number of remarkable things about these lockdown days that are worth photographing now so we can remember them when it is all over.
Most photographers find it hard to see interesting pictures in places in which they are most familiar. A trip somewhere new seems always exactly what our photography needed, as shooting away from home consistently inspires us to new artistic heights.
Streets empty that are usually busy are remarkable and can evoke the sense of historical pictures from before the invention of the motorcar. Other things that are different at the moment will be queues to get into stores and the lines marked out on the floor to show how far apart we should be.
Pretend everything is new and that you haven’t seen it before, and then you will be free to notice the leading lines, the places where one edge meets another in delightful geometric harmony, and how the ordinary things in the kitchen are transformed when the light is on or off.
The trick here is to look slowly, and then look again. Take the time to look in detail and to look at the same thing from different angles, with different light, long lenses and wide lenses. Then move to the left a bit. You may never feel the need to leave the house again.
Just because we can't get out and about like we normally would, doesn’t mean we have to stop taking pictures. There’s still plenty you can do, provided you're prepared to use some imagination. Here are a few ideas to keep you shooting until normal life resumes.
Most photographers love to shoot the unusual, and you don’t get much more unusual than These Unprecedented Times. Right now everything counts as out of the ordinary. There are a number of remarkable things about these lockdown days that are worth photographing now so we can remember them when it is all over.
Most photographers find it hard to see interesting pictures in places in which they are most familiar. A trip somewhere new seems always exactly what our photography needed, as shooting away from home consistently inspires us to new artistic heights.
Streets empty that are usually busy are remarkable and can evoke the sense of historical pictures from before the invention of the motorcar. Other things that are different at the moment will be queues to get into stores and the lines marked out on the floor to show how far apart we should be.
Pretend everything is new and that you haven’t seen it before, and then you will be free to notice the leading lines, the places where one edge meets another in delightful geometric harmony, and how the ordinary things in the kitchen are transformed when the light is on or off.
The trick here is to look slowly, and then look again. Take the time to look in detail and to look at the same thing from different angles, with different light, long lenses and wide lenses. Then move to the left a bit. You may never feel the need to leave the house again.
Last Updated: [Insert Date]
RendonLuis LLC (“we,” “us,” or “our”) is committed to protecting your privacy. We provide AI automation solutions to empower businesses to optimize operations and improve productivity. Our core service is developing custom AI agents that automate responses to customer inquiries. For example, our AI agents may be integrated with a client’s Instagram account to facilitate efficient communication with their audience. This Privacy Policy outlines how we collect, use, share, and protect your information.
We collect the following personal information directly from our clients to provide our AI agent services:
We use the information collected to:
The AI agent uses client-specific data to provide tailored responses based on context and previously collected conversation data, enhancing user interactions with your audience.
Currently, RendonLuis LLC does not send any marketing emails or promotional content. Communications with clients are limited to essential updates related to the AI agent's setup, operation, or maintenance.
We do not share personal information with third-party service providers. All data collected is processed internally by RendonLuis LLC and remains confidential.
We may disclose personal information if required by law or in response to a legal process, such as a subpoena, court order, or governmental request.
If RendonLuis LLC undergoes a business transaction, such as a merger, acquisition, or sale of assets, personal information may be transferred as part of that transaction. You will be notified of any change in ownership or control of your personal information.
RendonLuis LLC does not use cookies or any third-party tracking technologies for AI agent functionality. Any performance tracking within the AI agent platform is strictly for monitoring message handling and improving service efficiency.
As cookies are not used in our services, no cookie management is necessary.
Clients can access and update their personal information or make adjustments to their AI agent settings by contacting RendonLuis LLC directly at [insert contact details].
To opt out of the AI agent services or cease data collection, clients can discontinue the use of the service or request account closure by contacting us at [insert contact details].
We take the security of your personal information seriously and employ the following measures:
While we strive to use commercially acceptable means to protect your information, please note that no method of electronic transmission or storage is 100% secure.
We retain personal information for as long as necessary to provide our services or as required by law. Upon termination of the service, personal information will be deleted within 90 days unless a longer retention period is mandated by legal or operational requirements.
Our services are designed for business use and are not intended for individuals under the age of 13. We do not knowingly collect personal information from children. If we become aware that a child’s information has been inadvertently collected, we will take steps to delete it promptly.
At present, all data processing and storage are performed within the region where RendonLuis LLC operates. Should we need to transfer data internationally in the future, we will implement adequate protection measures in compliance with applicable data protection laws.
If personal information needs to be transferred across borders, RendonLuis LLC will ensure compliance with relevant data protection regulations (e.g., GDPR) and implement necessary safeguards, such as Standard Contractual Clauses.
We may update this Privacy Policy to reflect changes in our practices or for other operational, legal, or regulatory reasons. Any updates will be communicated through email and/or via an in-app alert within our AI agent platform.
If you have any questions about this Privacy Policy or would like to exercise any of your rights, please contact us at:
Email: [email protected]
Mailing Address: RendonLuis LLC, 30 N Gould St Ste N, Sheridan, WY 82801