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You need someone that knows the ins and outs of technology and UX. I'm an experienced data scientist, software engineer, and user experience designer that has worked for JPMorgan Chase, the United Nations, American Express, AT&T, and Lockheed Martin as well as for several startups and small businesses.
Hello everyone!
I'm Mateus, a full-stack **Data Scientist** from Brazil with a background in **Digital Signal Processing**. I graduated from **Brown University** in 2018 with a Bachelor of Science in **Electrical Engineering** and have been working in the Data domain ever since. I have experience with the full scope of the Data Science process, from building data pipelines and developing models to evaluating A/B tests for Data Products.
I'm open to any mentorship opportunities related to data, especially when it comes to **Machine Learning**, **Natural Language Processing**, **Python**, and **Elasticsearch**.
I am currently a Data Scientist at Microsoft and have previously worked at the largest investment bank in Latin America and at Telefonica.
Throughout my career, I developed skills and projects in various segments, including Customer Segmentation, Next Best Offer models, and detection of rare events.
I have over 4 years of experience in programming with Python, Machine Learning (especially when applied to CRM and Product Analytics), and Natural Language Processing. I also have solid experience implementing data orchestration and Elasticsearch-based analytics.
Finally, I have been a mentor for both for-profit and non-profit organizations since I was 16 years old. I'm extensively trained in mentorship and tutoring and have mentored all kinds of people in many topics, from essay writing to machine learning.
Looking for an expert in Machine Learning, Data Science, Computer Vision, GAN, NLP, CHATGPT, GEMINI, Stable Diffusion, PyTorch, TensorFlow, LangChain, LlamaIndex, real-time chatbot agents, customer recommendation systems, churn modeling, dynamic pricing, fraud detection, and image recognition?
Let's talk.
At Google Brain Team, I was developing the TensorFlow library that is the most popular machine learning library. I love the using TensorFlow because I know the infrastructure very well. I have been working on Artificial Intelligence topics for about 4 years. I 'm following latest papers from AI projects and even have a blog that I review. I have also contributed several various open source AI projects, such as jax, flax, fastai, etc.
I have direct experience in the following technologies/topics:
✅ Machine Learning (Deep Learning, Clustering, Classification, Regression, SVM, PCA, KNN, etc)
✅ Computer Vision (Image Classification, Object Detection, Object Tracking, Image Segmentation, GANS, Pix2Pix, StyleGAN, etc.)
✅ Natural Language Processing, (RNN, Transforms, Named-Entity Recognition, Sentiment Analyzing, Summarizing, SOA Models(Bert, GPT, T5))
My toolkit:
✅ TensorFlow (Core, Addons, Datasets, TensorBoard, TFLite),
✅ PyTorch,
✅ Scikit-Learn,
✅ Numpy,
✅ Pandas,
✅Matploblib,
✅ NLTK,
✅OpenCV,
✅Knet.jl,
✅Jax,
✅spaCy,
✅Hugging Face,
I love working on challenging topics and it is of immense significance to me personally to develop high-quality software. I am a process-orientated person and most of my customers find it useful to finish tasks effectively.
Hello, if you are having trouble figuring out what to do with your new startup in AWS, Im here to help guide you throughout the setup and architectural design.
I have been working for multiple startups and have been using AWS for the past 5 years. I am mainly a backend application developer with experiences mainly in writing microservices with SpringBoot integrated with various data stores, ranging from relational databases (Postgres, MySQL, MSSQL) to NoSQL (Elasticsearch, MongoDB, Redis) as well as third-party REST APIs.
Aside from that, I am continuously expanding my knowledge by doing frontend work on the side (React, iOS, Android) as well as training myself for machine learning projects using Tensorflow on AWS SageMaker.
I'm a Passionate Machine Learning engineer where I'm always eager to pick challenges and sort out an issue within a confined time. Would love to lend a hand and collaborate with people in solving problems. I have working experience in MNCs for around 5 years. My expertise lies in Python, Machine Learning, Data science,C#,Angular,Devops ,AWS and AWS Sagemaker
See the power of our Amazon sagemaker tutors through glowing user reviews that showcase their successful Amazon sagemaker learning journeys. Don't miss out on top-notch Amazon sagemaker training.
“Studying with Precious is always interesting. He is truly a tutor who imparts the skills you need when working in a company. Your level doesn’t matter, because that is a path of growth; what really counts is the mindset and being familiar with real situations that you may encounter during programming.“
none / Jun 2025
Nwoko Onyekachi Precious
Amazon sagemaker tutor
“Amazing is the one word that I would utilize to use this person. You were so patient and calm with my slowness in learning, and you were able to help so much in my problems. You not only took the time out to explain where the problems were stemming from, but how to resolve them and what I could do in the future. I 100 percent will contact you again if I have any issues or if anybody has any questions I would hands down recommend to you.“
Tiffany Myers / Jun 2025
Olajide Olanrewaju
Amazon sagemaker tutor
“I highly recommend Pazia as a tutor. She consistently looked for the most effective ways to help me grow, both technically and in my interview preparation. It was clear that she genuinely cared about helping me succeed and always tailored her approach to what would benefit me the most. Her dedication and insight made a big impact on my learning and confidence.“
Stella Chang / Jun 2025
Pazia Bermudez-Silverman
Amazon sagemaker tutor
“On my first impression on him based on his feedback on my request, I was convinced that he knows very well the thing that he is doing and analyzing. During our session, he explains well and really let you feel that he really knows what he is doing. He also goes beyond the extra miles of doing some research before having our second session. He is a trustworthy mentor unlike some I experienced who claims they know how to do it but time passes by in our sessions and no progress. He also not charging so much. I'm lucky that I have chosen him as my code mentor.“
Adrian Magpantay / Jun 2025
Mike Schinkel
Amazon sagemaker tutor
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Arrange regular session times with Amazon sagemaker tutors for one-on-one instruction.
Frequently asked questions
How to learn Amazon sagemaker?
Learning Amazon sagemaker effectively takes a structured approach, whether you're starting as a beginner or aiming to improve your existing skills. Here are key steps to guide you through the learning process:
Understand the basics: Start with the fundamentals of Amazon sagemaker. You can find free courses and tutorials online that cater specifically to beginners. These resources make it easy for you to grasp the core concepts and basic syntax of Amazon sagemaker, laying a solid foundation for further growth.
Practice regularly: Hands-on practice is crucial. Work on small projects or coding exercises that challenge you to apply what you've learned. This practical experience strengthens your knowledge and builds your coding skills.
Seek expert guidance: Connect with experienced Amazon sagemaker tutors on Codementor for one-on-one mentorship. Our mentors offer personalized support, helping you troubleshoot problems, review your code, and navigate more complex topics as your skills develop.
Join online communities: Engage with other learners and professionals in Amazon sagemaker through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
Build real-world projects: Apply your Amazon sagemaker skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Amazon sagemaker in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
Stay updated: Since Amazon sagemaker is continually evolving, staying informed about the latest developments and advanced features is essential. Follow relevant blogs, subscribe to newsletters, and participate in workshops to keep your skills up-to-date and relevant.
How long does it take to learn Amazon sagemaker?
The time it takes to learn Amazon sagemaker depends greatly on several factors, including your prior experience, the complexity of the language or tech stack, and how much time you dedicate to learning. Here’s a general framework to help you set realistic expectations:
Beginner level: If you are starting from scratch, getting comfortable with the basics of Amazon sagemaker typically takes about 3 to 6 months. During this period, you'll learn the fundamental concepts and begin applying them in simple projects.
Intermediate level: Advancing to an intermediate level can take an additional 6 to 12 months. At this stage, you should be working on more complex projects and deepening your understanding of Amazon sagemaker’s more advanced features and best practices.
Advanced level: Achieving proficiency or an advanced level of skill in Amazon sagemaker generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Amazon sagemaker, contributing to major projects, and possibly specializing in specific areas within Amazon sagemaker.
Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Amazon sagemaker. Engaging with new developments, tools, and methodologies in Amazon sagemaker is a continuous process throughout your career.
Setting personal learning goals and maintaining a regular learning schedule are crucial. Consider leveraging resources like Codementor to access personalized mentorship and expert guidance, which can accelerate your learning process and help you tackle specific challenges more efficiently.
How much does it cost to find a Amazon sagemaker tutor on Codementor?
The cost of finding a Amazon sagemaker tutor on Codementor depends on several factors, including the tutor's experience level, the complexity of the topic, and the length of the mentoring session. Here is a breakdown to help you understand the pricing structure:
Tutor experience: Tutors with extensive experience or high demand skills in Amazon sagemaker typically charge higher rates. Conversely, emerging professionals might offer more affordable pricing.
Pro plans: Codementor also offers subscription plans that provide full access to all mentors and include features like automated mentor matching, which can be a cost-effective option for regular, ongoing support.
Project-based pricing: If you have a specific project, mentors may offer a flat rate for the complete task instead of an hourly charge. This range can vary widely depending on the project's scope and complexity.
To find the best rate, browse through our Amazon sagemaker tutors’ profiles on Codementor, where you can view their rates and read reviews from other learners. This will help you choose a tutor who fits your budget and learning needs.
What are the benefits of learning Amazon sagemaker with a dedicated tutor?
Learning Amazon sagemaker with a dedicated tutor from Codementor offers several significant benefits that can accelerate your understanding and proficiency:
Personalized learning: A dedicated tutor adapts the learning experience to your specific needs, skills, and goals. This personalization ensures that you are not just learning Amazon sagemaker, but exceling in a way that directly aligns with your objectives.
Immediate feedback and assistance: Unlike self-paced online courses, a dedicated tutor provides instant feedback on your code, concepts, and practices. This immediate response helps eliminate misunderstandings and sharpens your skills in real-time, making the learning process more efficient.
Motivation and accountability: Regular sessions with a tutor keep you motivated and accountable. Learning Amazon sagemaker can be challenging, and having a dedicated mentor ensures you stay on track and continue making progress towards your learning goals.
Access to expert insights: Dedicated tutors often bring years of experience and industry knowledge. They can provide insights into best practices, current trends, and professional advice that are invaluable for both learning and career development.
Career guidance: Tutors can also offer guidance on how to apply Amazon sagemaker in professional settings, assist in building a relevant portfolio, and advise on career opportunities, which is particularly beneficial if you plan to transition into a new role or industry.
By leveraging these benefits, you can significantly improve your competency in Amazon sagemaker in a structured, supportive, and effective environment.
How does personalized Amazon sagemaker mentoring differ from traditional classroom learning?
Personalized Amazon sagemaker mentoring through Codementor offers a unique and effective learning approach compared to traditional classroom learning, particularly in these key aspects:
Customized content: Personalized mentoring adapts the learning material and pace specifically to your needs and skill level. This means the sessions can focus on areas where you need the most help or interest, unlike classroom settings which follow a fixed curriculum for all students.
One-on-one attention: With personalized mentoring, you receive the undivided attention of the tutor. This allows for immediate feedback and detailed explanations, ensuring that no questions are left unanswered, and concepts are fully understood.
Flexible scheduling: Personalized mentoring is arranged around your schedule, providing the flexibility to learn at times that are most convenient for you. This is often not possible in traditional classroom settings, which operate on a fixed schedule.
Pace of learning: In personalized mentoring, the pace can be adjusted according to how quickly or slowly you grasp new concepts. This custom pacing can significantly enhance the learning experience, as opposed to a classroom environment where the pace is set and may not align with every student’s learning speed.
Practical, hands-on learning: Mentors can provide more practical, hands-on learning experiences tailored to real-world applications. This direct application of skills is often more limited in classroom settings due to the general nature of the curriculum and the number of students involved.
Personalized mentoring thus provides a more tailored, flexible, and intensive learning experience, making it ideal for those who seek a focused and practical approach to mastering Amazon sagemaker.