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Erum Mehmood
Research tutor
US$20.00 /15 min
Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture. My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.
- Research
- Python
- Java
- Web Development
- C
- C++
- AI
- Apache Spark
- Apache Kafka
- Apache Hadoop
- SQL
- Database Development
- Database
- Data structure
- Apache Hive
- GUI
- Terraform
- Data Science
- Pandas
- NumPy
- Java EE
- JDBC
- Servlet
- MapReduce
- JavaScript
- Django
- HTML/CSS
- Data Visualization
- Data analytics
- Data warehouse
- Technical Writing
- LaTeX
- Neo4j
- GPT
- MongoDB
- Machine learning
- NLP
- Neural Networks
- Deep Learning
Tanisha Bhayani
Research tutor
US$50.00 /15 min6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.
- Research
- Python 3
- AI
- Machine learning
- Machine Learning Deployment
- Web Development
- Keras
- TensorFlow
- SQL
- Python
- Deep Learning
- Git
- Gunicorn
- Cython
- TensorFlow.js
- Angular
- React
- Mobile App Development
- Web Scraping
- Scrapy
- TypeScript
- Responsive Web Development
- MongoDB
- PostgreSQL
- MySQL
- Computer Vision Engineering
- PyTorch
- Deep Learning Pipeline
- Deep Reinforcement Learning
- Scipy
- Matplotlib
- Pandas
- Python 2
- Cloud Functions
- AWS SageMaker
- Azure
- Google Cloud Platform
- GPU
- AWS
- Kubernetes
- Docker
- Machine Learning System Design
- Machine Learning Frameworks
- Machine Learning Research
- Machine Learning Models
- Open Source Software
- AI/ML
- AI Chatbot
- OpenAI APIs
- OpenCV
- OpenAI
- GPT-4
- GPT-3
- GPT
- LLM
- Large Language Models
- Data Visualization
- Data Engineering
- Data Science
- Artificial Neural Networks
- NumPy
- Flask
Petr Sima
Research tutor
US$40.00 /15 minAvailable in all timezones. Excelent English. I removed my old bio because it becomes outdated quickly. By now I've done enough to be able to say: I've really done a lot 🙂. I provide a full range of services to meet all your Swift needs.
- Research
- Swift
- SwiftUI
- Teaching Programming
- Mobile App Development
- iOS Debugging
- Functional Programming
- Objective-C
- iOS
- Apple
- watchOS
- UIKit
- Cocoa Touch
- Ios10
- Continuous Integration
- TestFlight
- Jenkins
- Build server
- Ruby
- Bash
- Code Signing
- Fastlane
- Circleci
- Android
- Document
- Serverless
- Backendless
- Reactive
- Realm
- Firebase
- RxSwift
- Value types
- ReactiveSwift
- Combine
- Debugging
- Breakpoints
- LLDB
- Runtime
- Instruments
- Xcode
- MVVM
- MVC
- Patterns
- Tutorial
- Programming
- Mentoring
- Tutoring
- Teaching
- Dataflow
- Elm
- Redux
- State
- Unidirectional
- Compiler errors
- Generics
- Protocol oriented programming
- OOP
- Compiler Construction
- Problem solving
- Refactor
- Software architecture
- Reactivecocoa
- macOS
- Apple Watch
Ricardo Zea
Research tutor
US$22.00 /15 minHello! I'm a Sr. Web Designer with extensive experience in all aspects of web design: ideation, sketching, wireframing, designing, prototyping, coding static pages, hand-off to dev., and maintenance. Good eye for elegant design and highly versed in technical subjects of the web. Fully capable of creating production-ready HTML and CSS. **Codementor - 1:1 Web Design Expert - Rating:** ★★★★★ I mentor with simple-to-understand language and terminology, clear examples, and honest patience. Every time you have a lesson with me, I guarantee you will level up. 🎓 - See reviews here: [https://www.codementor.io/@ricardozea](https://www.codementor.io/@ricardozea) \-- If you are more interested in what else I have to say about this industry, below are two books I have authored, followed by a list of my work: • “Mastering Responsive Web Design”: [https://masteringrwd.com](https://masteringrwd.com/) • “Web Developers Reference Guide”: [https://tiny.cc/web-devs-reference-guide](https://tiny.cc/web-devs-reference-guide) 💻 View my design and technical work: • Portfolio: [https://ricardozea.design](https://ricardozea.design/) • Smashing Magazine: [https://www.smashingmagazine.com/author/ricardozea/](https://www.smashingmagazine.com/author/ricardozea/) • Amazon: [https://www.amazon.com/Ricardo-Zea/e/B0781579BS/](https://www.amazon.com/Ricardo-Zea/e/B0781579BS/) • Dribbble: [https://dribbble.com/ricardozea](https://dribbble.com/ricardozea) • CodePen: [https://codepen.io/ricardozea](https://codepen.io/ricardozea) • Medium: [https://medium.com/@ricardozea](https://medium.com/@ricardozea) “There are no dumb questions, it's just dumb not to ask.” — Yours truly 👍
Flavia Rius
Research tutor
US$30.00 /15 minI am a data scientist in the genomics area, and I hold a PhD degree in Epigenomics, a field of Bioinformatics. I love to teach and pass along knowledge! **R** and **bash** are my main languages, and I work with data analysis, statistics, and bioinformatics. Under the bioinformatics umbrella, my areas of expertise are: - **Transcriptomics** (RNA-seq and Affymetrix microarray); - **Population genomics** (GWAS) - **DNA methylation sequencing** (ERRBS and Infinium methylation); Blog: [flaviaerius.com](http://flaviaerius.com) [**Understand Linear Regression Results in R**](https://flaviaerius.netlify.app/posts/linear-regression-coefs/) [**Stuck in an error message? Let me help you fix it!**](https://flaviaerius.netlify.app/2022/06/14/tips-to-fix-programming-error/) [**7 tips for academic researchers on their way to Data Science**](https://flaviaerius.netlify.app/2022/08/10/7-tips-for-academic-researchers-on-their-way-to-data-science/)
Gopal Chitalia
Research tutor
US$20.00 /15 minI am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.
- Research
- SQL
- AWS
- Python
- Git
- Machine learning
- Reinforcement Learning
- HTML/CSS
- Dash
- TypeScript
- JavaScript
- Postman
- Mobile App Development
- Bash
- Database
- Web Scraping
- Docker
- Kaggle
- Fastapi
- Django
- Performance Optimization
- Large Language Models
- Airflow
- Data Visualization
- Data analytics
- Pandas
- NumPy
- Deep Learning
- Data Science
- Selenium
- Keras
- TensorFlow
- Version control
- GitHub
Find your personal Research tutor on Codementor today 
Users love our Research tutors
See the power of our Research tutors through glowing user reviews that showcase their successful Research learning journeys. Don't miss out on top-notch Research training.
“I had the pleasure of working with Dejan for a job interview preparation session, and I cannot recommend him highly enough! Dejan is not only an excellent coder with deep technical expertise but also a phenomenal mentor. He took the time to understand my goals and tailored the session to address both technical and soft skills required for the interview process. Dejan's ability to break down complex concepts and explain them clearly made learning seamless and enjoyable. Beyond his technical knowledge, Dejan is approachable, patient, and genuinely invested in his mentees' success. If you're looking for a mentor who goes above and beyond to help you achieve your goals, Dejan is the person to work with.“
Daniele Ciucci / Jan 2025
Dejan B.
Research tutor
“I had an excellent experience working with Ashish for automation framework designing using Cypress! His deep knowledge and practical insights made the entire process clear and manageable. Ashish guided me through the complexities of building a robust framework, and his hands-on approach helped me gain confidence in implementing automation for real-world projects.“
Neelima Lella / Jan 2025
Ashish Jaishwal (QA Test Automation)
Research tutor
“Yuiry is a great resource to learn from. Yuiry is patient, clear and easy to understand. If I don't understand something, Yuiry is ok to slow down and provide examples or analogies to help my understanding.“
Andy / Jan 2025
Yuriy Linnyk
Research tutor
“David was ready with everything I needed to know, explained it in a way that was crystal-clear and easy to understand and gave me several options on ways to solve the problem. Along the way I learned a lot that will be useful for other projects. He is a pleasure to speak with and learn from. I highly recommend him to anyone needing help. He is a natural educator.“
James Mitchell / Jan 2025
David Schoutens
Research tutor
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Frequently asked questions
How to learn Research?
Learning Research 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 Research. 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 Research, 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 Research 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 Research through forums and online communities. This engagement offers support, new learning resources, and insights into industry practices.
- Build real-world projects: Apply your Research skills to real-world projects. This could be anything from developing a simple app to contributing to open source projects. Using Research in practical applications not only boosts your learning but also builds your portfolio, which is crucial for career advancement.
- Stay updated: Since Research 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 Research?
The time it takes to learn Research 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 Research 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 Research’s more advanced features and best practices.
- Advanced level: Achieving proficiency or an advanced level of skill in Research generally requires at least 2 years of consistent practice and learning. This includes mastering sophisticated aspects of Research, contributing to major projects, and possibly specializing in specific areas within Research.
- Continuous learning: Technology evolves rapidly, and ongoing learning is essential to maintain and improve your skills in Research. Engaging with new developments, tools, and methodologies in Research 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 Research tutor on Codementor?
The cost of finding a Research 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 Research 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 Research 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 Research with a dedicated tutor?
Learning Research 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 Research, 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 Research 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 Research 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 Research in a structured, supportive, and effective environment.
How does personalized Research mentoring differ from traditional classroom learning?
Personalized Research 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 Research.
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