Your work.YourPITBOOK.

Open My profile. You’ll see two tabs:

• Portfolio contains your PITBOOK introduction, skills, projects and community contributions.
• Settings contains your photo, personal details, interests, username and GitHub connection.

In Portfolio, expand Edit portfolio to fill in your public information.

Under Settings, check your first and last name and add a photo. Choose one that’s recognizable in a small, round avatar.

Use the same spelling of your name on PITMA, GitHub and LinkedIn so people can match the profiles.

Under Public profile, choose the username for your PITBOOK address:

hub.pitma.space/your-username

Use 3–39 characters consisting of Latin letters, numbers and single hyphens. For example, olena-kovalenko.

Select Save link. Save personal details separately using Save changes.

The Headline field is the short line under your name. It tells visitors what you do or what you’re learning.

Try your role or learning stage + your field or type of project. For example:

• Python developer working with data and automation
• Learning machine learning and building my first classification models
• Exploring LLMs and RAG through document search

If you’re just starting out, say so. A specific interest and an early project give readers more information than a phrase like “ambitious professional.”

A few sentences are enough. Describe:

• The problems you’re working on.
• The tools you use.
• What you’re learning now.
• The kinds of collaboration you’re interested in.

I’m learning Python and data science. I clean data with pandas, look for patterns and plot them in Matplotlib. On PITMA I turn ideas from Jams into projects and improve the code after review. I’d like to join a learning project that analyzes open data.

Update your introduction as your focus changes or you finish new work. It should reflect what you do today.

PITBOOK keeps interests and skills in separate parts of the profile.

Interests are subjects you’d like to explore. In Settings → What interests you in AI and ML?, choose one or more fields: Python, Data Science, Machine Learning, LLMs and RAG, Computer Vision or Reinforcement Learning. They appear on your public profile.

My skills in the portfolio editor lists tools and methods you already use. Enter them separated by commas:

Python, pandas, Matplotlib, Git, data cleaning

You can add up to 20 skills. Choose those you can discuss and demonstrate in your projects.

PITMA also displays technologies found in your published Python code. Visitors can see both the skills you list and the tools you’ve used in completed projects.

In Availability, choose the status that fits:

• Open to work if you’re looking for professional opportunities.
• Open to collaboration if you want to work on projects with others.
• Looking for a team if you’d like to join a team.
• Hide status if you’d prefer to leave it off your profile.

You can also add your city and country and the languages you use. Separate languages with commas, for example Ukrainian, English.

These details help visitors decide how you could work together.

The portfolio editor has fields for:

• LinkedIn, for your professional profile.
• Website, for a personal site or another page you want to share.
• Public contact, for the address opened by Get in touch.

Contact examples:

• Telegram: https://t.me/your_username
• Email: mailto:yourname@example.com

Your PITMA sign-in email stays private by default. You choose the contact method visitors see.

Add your GitHub profile link in Settings. You can also connect GitHub there to sign in to PITMA.

Select Save profile and check that each link opens the intended destination.

Implementations appear in PITBOOK after Merge. Add a short description so visitors can understand a project before reading its code.

Expand Describe your work on your project card. Fill in the three main fields.

Task — what problem did you set out to solve?

Analyze monthly sales and show how revenue changes over the course of a year.

My contribution — what did you do yourself?

I cleaned the data in pandas, handled missing values and plotted the results with Matplotlib.

Result — what did you produce?

My script generates a summary table and a monthly revenue chart. I tested it on a practice dataset.

Optionally add a Demo link, then select Save. Describe the specific result and say if it was a learning exercise. If you built on someone else’s project, explain your changes and additions.

In Edit portfolio → Pinned projects, choose up to three completed projects. Use the arrows to change their order.

Choose work that fits your goal. If you’re looking for data science collaborators, lead with a project in analysis, visualization or machine learning.

Check each pinned project:

• Does the name describe it?
• Is the task clear?
• Can visitors see your contribution?
• Have you described the result?

One finished project is enough to get started. After arranging the projects, select Save profile.

Parts of PITBOOK come directly from your platform activity.

Project fields shows how your published, completed projects are distributed across Jam topics. If two of four projects are in data science, one is in LLMs and RAG and one is in Python, the chart shows 50% / 25% / 25%.

The percentages describe your mix of projects. They do not measure proficiency, and the interests you selected at registration do not affect them.

PITMA also displays:

• Published implementations and project stars.
• Qualifying reviews of completed work.
• Answers that question authors marked as solutions.
• Activity and achievements on the platform.

Open Community contributions to see the associated projects and discussions. Once you have completed implementations, your profile also links to your public PITMA certificate.

Select View as visitor and check:

• Do the opening lines explain what you do?
• Does the introduction reflect your current work and interests?
• Have you described the pinned projects?
• Do your contact and external links work?
• Is every detail something you want to make public?

Select Share. PITMA copies the URL and changes the button label to Copied.

Add the link to your résumé or LinkedIn profile, use it in a collaboration request or send it to someone you’d like to show your work to.