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How can you create an AI algorithm portfolio for a specific industry or job role?

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If you want to showcase your skills and experience in artificial intelligence (AI), you need to create an AI algorithm portfolio that demonstrates your ability to solve real-world problems using data and algorithms. An AI algorithm portfolio is a collection of projects that you have completed or are working on, that highlight your knowledge, creativity, and proficiency in applying AI techniques to various domains and scenarios. In this article, you will learn how to create an AI algorithm portfolio for a specific industry or job role, by following these steps:

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James V Baber

AI Product & Technology Leadership
Sreejesh.P. Mohanan

Lead Data Scientist at Aviva.
Abhilash Shukla

???????????????? ?????? ???? ?????????? ?? 20?+ Followers ?? Building Sustainable Tech World ?? Digital Transformation,…

1 Identify your target audience

The first step is to identify who you are creating your portfolio for, and what they are looking for. Are you applying for a job, a freelance project, a research position, or a grant? What kind of industry, domain, or problem are you interested in? What are the expectations, requirements, and preferences of your potential employers, clients, or collaborators? You need to research and understand your target audience, so that you can tailor your portfolio to their needs and goals.

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Sreejesh.P. Mohanan

Lead Data Scientist at Aviva.
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Understanding the target audience and their needs is crucial in all AI-ML applications. Whether it's industry experts or customers, identifying specific use cases and demands is a top priority. This consideration often influences project scope, data duration, data authenticity, and other key factors.

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Abhilash Shukla

???????????????? ?????? ???? ?????????? ?? 20?+ Followers ?? Building Sustainable Tech World ?? Digital Transformation, AIML, IoT, CX, SAP BTP, Bespoke Leader | Podcasting on ?????????????????????????? ?
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For an AI algorithm portfolio, it's must to demonstrate a clear narrative of your learning and problem-solving journey. Showcase projects where you iteratively improved the algorithm's performance or where you innovated to overcome unique challenges. Reflecting on the process, not just the outcome, can resonate well with your audience, whether they're technical experts or not, by highlighting your growth mindset and adaptability to change.

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Abhilash Shukla

???????????????? ?????? ???? ?????????? ?? 20?+ Followers ?? Building Sustainable Tech World ?? Digital Transformation, AIML, IoT, CX, SAP BTP, Bespoke Leader | Podcasting on ?????????????????????????? ?
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I would say, understanding the target audience means getting into their technological maturity and data sophistication. Very important is to assess their readiness to integrate AI solutions, which varies widely across industries. Tailor your portfolio by aligning it with the audience's digital transformation stage—whether they're in initial automation phases or advanced predictive analytics. Showcase versatility by including projects that address various stages of AI adoption, demonstrating how your work can evolve with their growing AI capabilities.

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2 Select relevant projects

The next step is to select the projects that you want to include in your portfolio, based on their relevance to your target audience. You should choose projects that showcase your skills and experience in the specific industry or job role that you are aiming for, as well as your ability to use different AI techniques, tools, and frameworks. You should also consider the diversity, complexity, and originality of your projects, and how they reflect your passion and curiosity for AI. You can use projects that you have done for your education, work, or personal interest, or you can create new projects based on existing datasets, challenges, or competitions.

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James V Baber

AI Product & Technology Leadership
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I am currently doing this for my new company launch. Even if you aren't interested in the certification, the absolutely free Microsoft Learn courseware for the Azure AI-102 Engineer certification will take you through building at least 23 functional AI solutions. You can then customize these to showcase your vertical-specific projects and post to your GitHub portfolio.

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Abhilash Shukla

???????????????? ?????? ???? ?????????? ?? 20?+ Followers ?? Building Sustainable Tech World ?? Digital Transformation, AIML, IoT, CX, SAP BTP, Bespoke Leader | Podcasting on ?????????????????????????? ?
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++ In selecting projects, emphasize those where you’ve adapted AI to meet unique cultural or socio-economic needs, demonstrating awareness and responsiveness to global diversity. Highlight collaborative efforts, as teamwork skills are vital in AI fields. Also, projects where you’ve acted on feedback show your commitment to continuous improvement and user-centered design.

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3 Document your projects

Documenting your projects in a clear, concise, and engaging way is the third step in order to ensure that your target audience can easily understand the goals, results, and findings of your project. Your documentation should include a title and summary that describe the main goal and results, a background and motivation that explain the context and relevance of your project, data and methodology that describe the data sources and AI techniques used, results and discussion that present the outputs of your project with visualizations or metrics, a conclusion and future work that summarize the main contributions and suggest possible improvements.

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Abhilash Shukla

???????????????? ?????? ???? ?????????? ?? 20?+ Followers ?? Building Sustainable Tech World ?? Digital Transformation, AIML, IoT, CX, SAP BTP, Bespoke Leader | Podcasting on ?????????????????????????? ?
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For impactful project documentation, complement written explanations with interactive elements like notebooks that allow viewers to manipulate parameters and see real-time results. Also, include testimonials or user feedback to give a human element to the project's impact. This approach adds depth, showing not just what the project does, but also how it interacts with and benefits its users.

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4 Showcase your code

The fourth step is to showcase your code in a way that demonstrates your coding skills, style, and quality. You should use a platform or a tool that allows you to share your code online, such as GitHub, Google Colab, Kaggle, or Jupyter Notebook. You should also make sure that your code is readable, organized, commented, and documented, so that your target audience can easily follow, reproduce, or modify your work. You should also include any dependencies, requirements, or instructions that are necessary to run your code.

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Abhilash Shukla

???????????????? ?????? ???? ?????????? ?? 20?+ Followers ?? Building Sustainable Tech World ?? Digital Transformation, AIML, IoT, CX, SAP BTP, Bespoke Leader | Podcasting on ?????????????????????????? ?
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When showcasing your code, integrate visual elements like flowcharts or block diagrams that outline the architecture or logic of your algorithms. This helps in conveying complex concepts at a glance, which is especially useful for those with less technical expertise. Additionally, consider recording short video walkthroughs of your code in action, offering a dynamic way to demonstrate how your algorithms work and the thought process behind them.

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5 Create a portfolio website

The fifth step is to create a portfolio website that displays your projects and code in a professional and attractive way. Platforms such as WordPress, Wix, Squarespace, or GitHub Pages can be used to easily create a website. You should also design your website to reflect your personal brand, style, and identity with colors, fonts, images, and layouts. Your website should include a homepage that introduces yourself and provides an overview of your portfolio and contact information. Additionally, a projects page should list your projects with titles, summaries, and links to documentation and code. A blog page should showcase your thoughts on AI topics, trends, or developments and invite feedback from your target audience. Lastly, a resume page should highlight education, work experience, awards, publications, and provide links to social media or professional profiles.

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6 Update and promote your portfolio

The sixth and final step is to update and promote your portfolio regularly, so that you can keep your skills and experience fresh and relevant, and that you can reach and attract your target audience. You should update your portfolio by adding new projects, improving existing projects, or learning new AI techniques, tools, or frameworks. You should also promote your portfolio by sharing it on social media, online forums, or communities, or by networking with other AI professionals, experts, or enthusiasts. You should also seek feedback or reviews from your target audience, and use them to improve your portfolio and your performance.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you create an AI algorithm portfolio for a specific industry or job role?

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3

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5

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1 Identify your target audience

2 Select relevant projects

3 Document your projects

4 Showcase your code

5 Create a portfolio website

6 Update and promote your portfolio

7 Here’s what else to consider

Artificial Intelligence

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How can you create an AI algorithm portfolio for a specific industry or job role?

1

2

3

4

5

6

7

1 Identify your target audience

2 Select relevant projects

3 Document your projects

4 Showcase your code

5 Create a portfolio website

6 Update and promote your portfolio

7 Here’s what else to consider

Artificial Intelligence

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