About Me

Deepak John Reji

📣 I am an NLP practitioner & Researcher with experience in developing and designing solutions for data science products. I love working with environmental data, and I create videos on various prototypes that I experiment with, NLP tutorials, and podcasts with industry experts in the sustainability field.

I am an open-source contributor and I share my models in Huggingface and PyPI repositories. Recently I have been researching the topic "Bias & Fairness in AI Models" & "Environmental Remediation"

I work with ERM Analytics Lab as an NLP Data Scientist!

👋 Feel free to connect with me on Github and Youtube 😀

D4 Data Podcast is now available on Spotify

Upcoming D4 Data Podcasts

Previously Recorded

Sally Giblin

Sally Giblin, a leader in the climate action movement, joins the D4 Data Podcast for an enlightening conversation about taking action to combat climate change. The episode starts with Sally's perspective on approaching climate action with a sense of "stubborn optimism" and how "What if" thinking can lead to a better future. The importance of shared responsibility and collaboration across generations is also discussed.

This podcast also discusses the political and economic barriers that come in the way of implementing sustainable solutions at scale, and the impact of climate change on marginalized communities. Sally also shares examples of community-based solutions and her thoughts on intergenerational change and overcoming barriers. She also shares her inspiration and aspirations and discusses her podcast Hope Act Thrive.

Tamara Atanasoska

Tamara, a researcher in the field of natural language processing and cognitive science, shares her knowledge on the basics of grounded language learning, the cognitive and linguistic foundations for NLP tools, and the challenges in textual analysis. She also delves into the methodology behind embodied AI and her research on multimodal dialogue in game settings.

Tamara also discusses the challenges in data preparation, the differences between research and industrial sectors, code reproducibility, and scalability in terms of domain-centric requirements. Furthermore, she covers the current research landscape, ethics, and fairness in NLP research, and the importance of embedding cognitive science techniques and linguistics.

Sandra Kublik

This is a conversation with Sandra Kublik, author of the new book "GPT-3: The Ultimate Guide To Building NLP Products With OpenAI API", where she shares her insights and knowledge on the exciting capabilities of large language models and their potential applications in the field of artificial intelligence. In this episode, we discuss topics such as natural language understanding, AI service providers, popular language models, feasibility of custom AI solutions, Artificial General Intelligence (AGI) and the ethical and responsible considerations when building and deploying large language models.

We explored the evolution of these models and the possibilities for custom solutions and services in the field of AI.

Daniel Vila Suero

In this episode, we dive into the world of data-centric AI and NLP, exploring the ethical considerations, limitations, and trade-offs that come with this approach. We start off discussing data-centric AI, and the ethical considerations that come with it in the context of NLP. We also delve into the limitations of data-centric approaches in NLP, and the trade-offs between using a larger dataset versus a curated, smaller dataset.

We also touch on the problem of concept drift and the potential for generating biased or misleading data while augmenting data. We also discuss the importance of ensuring the quality of labels obtained through crowdsourcing and how to achieve that.

Sugato Ray

This is a conversation with Sugato Ray about the world of open source and its impact on career development. You'll learn about the various opportunities available in the open-source community and how participating in open-source projects can lead to valuable skills and experiences that can enhance your professional growth. Whether you're a student, a developer, or a manager, this episode is a must-listen for anyone looking to boost their career prospects in the tech industry.

Tune in as we explore topics such as ownership and distribution models of open-source and proprietary software, contributing to open-source projects, evaluating open-source projects to contribute, and how organizations can support in maintaining open-source projects.

Satshya Tharien

Satshya shares her journey as a content creator, including the challenges she faced when she first started out and the strategies she used to build a loyal and engaged audience. She also shares her insights on the importance of authenticity, the role of humour in her content, and the importance of staying true to your own vision and values.

In addition to discussing the challenges and rewards of building a career in content creation, Satshya also offers valuable tips and advice for aspiring content creators. From finding your niche to building a strong brand and working with brands and sponsors, Satshya shares her wisdom and experiences in a candid and engaging way.

Bea Stollnitz

Azure ML (Microsoft Azure Machine Learning) is a cloud-based platform for building, deploying, and managing machine learning models. It provides a range of tools and services for data scientists and developers to build, train, and deploy machine learning models in the cloud.

This podcast discusses how Azure's offerings are designed to be versatile and helpful for ML developers and data scientists. The speaker discusses how Azure Machine Learning and ML as a Service can be used to build large-scale AI models and how they could help drive innovation and business value with machine learning.

Manish Godkhindi

Articulating the value of data and AI can be difficult, as customers often have unrealistic expectations about the accuracy and efficiency of the solution. This podcast video discusses how to present an AI solution to customers, how to keep in mind important considerations when introducing AI into a business, and the different types of value that can be generated by data and AI solutions.

The speaker discusses the importance of embedding deep domain expertise into algorithms in order to ensure accuracy and performance. They also discuss how to articulate the value of data and AI to customers, emphasizing the need for a domain expert to be in charge.

Ashish Patel

This podcast overviews some of the challenges associated with implementing AI solutions in a production environment. It offers advice on how to overcome these challenges and discusses the importance of ethical considerations when working with AI technologies.

This video discusses the importance of data versioning, and MLOps, and how to properly use them. It advises data scientists to always follow best practices, use the right tools, and track results.

Nermeen Ghoniem

In this podcast, Nermeen talks about how important it is to have transparency and diversity in AI, and how this can help to prevent bias. The video discusses how technology is impacting daily life and how people need to be involved in its development.

The video discusses how people need to be aware of the implications of how their technology choices impact their lives. It encourages people to be involved in technology development, and talks about how technology is impacting daily life.

Tracy (Wiberg) Borreson

In this podcast, Tracy shares her journey of personal branding and networking, and how both are essential to success. She advises listeners to begin by identifying what is authentic for them and to experiment with different topics through conversation.

Networking is a critical part of developing a personal brand and should be prioritized over other activities. The podcast emphasises that It is not a one-time event but rather a journey that evolves over time.

Part 1

Part 2

Dorothea Baur

This Podcast video discusses the importance of adhering to ethical principles when using artificial intelligence in business. The speaker talks about the need for transparency and trust when using AI, as well as the need for cross-disciplinary collaboration in order to ensure that AI is used responsibly. The EU AI act is mentioned as a promising development in this regard.

Miguel Fierro

This podcast discusses how recommendation systems are becoming increasingly important and can be used to increase revenue or click-through rates. It also covers the advancements in algorithms and how large-scale recommendations are implemented in real-time. The speaker discusses the importance of personalized recommendations for companies, the growth of this field, and how companies can reinvest in their recommendation systems to improve their user experience and revenue.

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Tristan Behrens

The podcast discusses the capability of AI in music composition, and Computational Creativity. The speaker describes how the recent models he's worked on are used to represent music, and explains how the AI learns and generates short pieces of music that are rhythmically and harmonically sound.

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25th Episode of D4 Data Channel Podcast

Afke Schouten

This podcast video discusses the importance of having a sound understanding of AI before implementing it in order to avoid common mistakes. The speaker also points out the need for an "agile" mindset when working with AI, and suggests that data scientists incorporate a business perspective to be more effective. The video concludes with a discussion of the current state of AI maturity in organizations.

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Erin Michelson

The podcast video discusses how to measure the culture of an organization using different AI frameworks. It features KindQ, a behavioural science-based measurement tool from the Summery team which provides unbiased analysis of data to help executives make decisions, and how they have seen success in increasing donations and recruitment through their product.

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Susan Funke

Steven Boylan

This podcast discusses the role of artificial intelligence in sustainable finance, with a focus on the ethical implications of the technology. The speaker discusses how AI is being used to assess sustainability factors in companies, and how data bias can be a challenge in this process. They suggest that policymakers should be thinking about these issues and developing a framework to deal with them.

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Tijana Nikolic

The podcast video discusses how AI can have a positive or negative impact on climate change goals and suggests that businesses and researchers take into account the potential impacts before starting any AI projects. It also discusses how AI can be used to help reduce emissions, and the various challenges and bottlenecks involved in doing so.

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Alexandra Ebert

The podcast discusses the ethical implications of artificial intelligence, and how responsible and ethical AI can be implemented. It discusses the importance of data collection and pre-existing bias, and the potential for liability when AI makes mistakes. The podcast also discusses the importance of diversity in the field of AI.

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Ramsri Goutham Golla

This video discusses the applications of NLP, with a focus on how they can be used to build apps and softwares. The speaker discusses the challenges associated with deploying and running machine learning applications, specifically mentioning issues with cost and complexity. They mention that there are a number of tools available to help with these difficulties, but note that there are still some challenges to be overcome.

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Ines Montani

The podcast video discusses the design philosophy behind the Spacy library, its inspiration from other high-quality machine learning libraries, and the turning point in its development. The speaker also discusses how the library offers a variety of services to help developers create custom pipelines for specific domains, and how it is being improved with the help of real-world industry problems.

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Maha Amami

This video discusses the use of artificial intelligence in scholarly research, including various applications and benefits. It also discusses ethical concerns and how they are being addressed. This podcast discusses different AI use cases in scholarly research, including applications for checking grammar, detecting plagiarism, and annotating articles. The speaker talks about popular AI tech stacks and mention a tool for measuring qualitative quality.

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Joan Fontanals

Jina.ai is a company that provides neural search services using machine learning models. The company is also expanding its services to include vector databases and other tools to help users get the extra mile of quality in their search results without needing to microservices or communicate with other users. In this podcast, the speaker discusses the company's focus on providing solutions for the neural search domains, as well as some of the team's recent industrial collaborations. They also discusses the future of neural search, noting that research is key to making the technology more effective.

Maria Boerner

Federated learning is used for distributed training of machine learning algorithms on multiple devices without exchanging training data. The video discusses the History of Federated Learning, different Architectures, the challenges associated with using the platform, as well as the potential future prospects for the technology. The speaker also explained the framework "Flower" which is an open-source framework for Federated Learning.

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Ana Luci Grizzi

The podcast video discusses the importance of ESG (environmental, social, and governance) and how it needs to be integrated into business strategies. They also discuss the use of technology in ESG due diligence, its challenges, Sustainable investment, Greenwashing and how it is necessary to have a standardized approach to data collection and analysis.

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Punitee Garyali

This video discusses the potential benefits of using artificial intelligence in healthcare. It notes that while AI can assist in certain aspects of healthcare, it should never be considered a replacement for a human physician. The video points out that regulations surrounding AI in healthcare are still being developed, and that patients and doctors should be aware of potential biases AI may have.

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Jeremy Ravenel

The podcast video discusses the features and capabilities of the Notebook as a Service (NaaS) platform. The platform provides users with access to monitor and manage their notebooks in a centralized location, making it easier to schedule and track tasks. The video also discusses the design concept behind the drivers and templates, and how they are designed to be more simple and closer to users.

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Kira Day

The Passion Perspective is all about helping individuals identify and then develop programs to pursue their passions. Kira, the founder of the Passion Center, has designed courses that help individuals clear out blocks and old patterns of thought, and understand their passions. The podcast discusses the importance of identifying and driving passion in one's life, and how to apply it to one's work.

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Lakshminarayan & Harpreet

This podcast discusses the challenges of deploying machine learning models in production. These include model degradation over time, infrastructure challenges, and data security. The podcast also discusses the need for proper automation of ML processes and how it is implemented leveraging AWS Cloud Services in projects at Thomson Reuters Labs

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Milda Norkute

This podcast discusses the importance of explainable AI and how it can be used to improve the reliability of AI systems. The conversation also touches on the different needs of users and data scientists when it comes to explaining AI systems.

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Sagar L

Named entity recognition is a process of identifying and classifying entities in a document, and it is especially challenging in the legal domain due to its rich vocabulary and different use cases. The architecture that has been developed using Pointer Generator Network is able to overcome these challenges which has led to improved performance.

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Syed Raza Bashir

This podcast discusses a research project about Fake Points of Interest from Location Data using ML models. The speaker shares his experience working with designing this model. The podcast also discusses how the project can be improved, specifically by trying out new models and data sets.

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Khushbu K Birawat

This video discusses a research project on improving water resources management in Bangalore, India. The project uses satellite products to help solve societal issues, such as understanding holistically what exists in a city's water resources. The objective of the project is to study and implement ways to reduce water dependency on outside sources.

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Ivan Bilan

This video discusses the history and importance of NLP, and how its techniques have evolved over the years. It also mentions how the use of transfer learning has allowed for the development of many successful NLP products. Finally, the video discusses the importance of productionizing NLP models so they can be used by users in a practical way.

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Shaina Raza

This podcast video explains a research paper on the News Recommender System, as well as some key topics such as scaling and evaluating different model architectures for News Recommendation. The speaker shares her experience working with recommender systems, proposing novel algorithms, and devising methods to combat fake news.

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Philip Vollet

This podcast video talks about the Democratization of AI & power of Open Source. Philip is a known voice in promoting open source and is involved in sharing AI content and resources on social media platforms. The video also covers the close relationship between different Open source libraries such as Hugging Face and Spacy, as well as the possibility of packaging and versioning larger models.

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Sanah Sharma

Discussion with Ms. Sanah Sharma, Designer & Winner of Red Carpet Green Design Context 2020 on Sustainable practices in Fashion Designing and how AI plays a role in this. The video covers a lot of topics around Circular Fashion, Regulation/Compliance, Sustainability score, Simulation tools in cloth designing, Zero Waste Concept etc.

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Sasha Sama

This podcast provides an overview of litter pollution and some of the ways that it can be prevented. It discusses the importance of waste management policies and the role of a circular economy in reducing pollution. The video also mentions a few companies that are working to redesign materials from waste.

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Please connect with me if you want to talk more about any podcasts or sponsor the show.

deepakjohn1994@gmail.com