Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master’s degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set.

With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management.

In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights.

Hari’s professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

DasarpAI

Ek Kendra for Data Science

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My Philosophy Behind This Blog

More than just a space for teaching and helping others, this blog serves as my platform for self-expression. The thousands of articles spanning multiple categories are my way of communicating with the world—and reminding myself of how far I’ve come and what remains to be explored.

This is the place to learn everything about Data Science, Data Engineering, Data Analytics, EDA, AI, Machine Learning, Deep Learning, LLM, RAG, GAN, NLP, RL, and much more. The content here is rooted in my three decades of experience across Data Science, Project Management, AI/ML, IT, Software Development, Process Automation, and Business Analytics in diverse domains such as Logistics, BFSI, Healthcare, Education, Staffing, and NGOs.

Over the years, I’ve held roles including Programmer, Architect, Business Analyst, Data Analyst, Product Manager, Project Manager, Program Manager, Delivery Head, Trainer, Coach, Consultant, and Mentor. These varied experiences have given me a deep understanding of how businesses operate—and how technology can help them make better, more timely decisions to maximize stakeholder engagement and drive business growth.

In my view, making business decisions while ignoring critical factors is akin to trying to see the world with one eye. Technology, in itself, is meaningless unless it improves human well-being. We technocrats are not here merely to show off our capabilities; we aim to reduce your pain points, costs, and efforts, ultimately enhancing your overall satisfaction.

Therefore, when developing or adopting new technologies, one must consider the following:

  • Technical capabilities of the organization
  • Market competition
  • Future growth
  • Current business needs
  • Project budget
  • Time to respond
  • Well-defined business requirements

Data Science Perspectives

In some cases, data is left to “die” in a hard disk in a forgotten storeroom; in others, the data is practically “screaming” for attention in front of us. Often, we hear only the narratives we like. Dying of thirst is a problem, but struggling at the riverbank is an even more common issue for many organizations. The time has come to bring the value of data onto balance sheets—otherwise, maintaining storage with no actionable insights is merely a liability.

On AI Adoption

AI is undoubtedly transformative and continues to reshape businesses. Still, we should first ask whether the current initiative truly needs AI or if a simpler process automation solution would suffice. Due diligence is essential: rather than starting with questions like “How can AI help our business?” or “Which AI tool should we use?”—it’s better to begin by asking, “How can we improve with our existing resources and processes, and what does ‘better’ really mean for us?”

“Better” might mean:

  • Reducing cost
  • Improving efficiency
  • Reducing time to market
  • Enhancing customer satisfaction
  • Or any other key metrics important to your team, department, or organization

About Data Science Projects

AI is software, but AI projects are not like typical software projects. They have distinct pipelines and project lifecycles, requiring specialized methodologies and tools. Common objectives might include:

  • Reducing cost
  • Reducing development time
  • Improving quality
  • Enhancing customer experience
  • Decreasing turnaround time
  • Minimizing waste
  • Preventing last-minute surprises
  • Ensuring compliance
  • Boosting brand value
  • Increasing sales
  • Or any other metrics critical to your team, department, or organization

The Way I Live in This World

  • Philosophy connects me to my inner self.
  • Management connects me to the stakeholders around me.
  • Technology enables me to create solutions for myself and for those around me.
  • Before becoming a change agent, it’s vital to first declutter your own mind and the space around you.

Welcome to my Data Science/AI Blog

MLOps Tools

MLOps Tools

10 min read

MLOps Tools MLOps (Machine Learning Operations) is a set of practices and tools designed to st...

August 13, 2024
AI Usecases in Cybersecurity

AI Usecases in Cybersecurity

6 min read

AI Usecases in Cybersecurity AI in Cyber Security, Ethics Related Challenges and Usecases AI ...

August 7, 2024
LLM Skills and Human Skills

LLM Skills and Human Skills

5 min read

LLM Skills and Human Skills What is skill? A skill is the ability to perform a task or activi...

August 4, 2024
LLM Architecture and Training

LLM Architecture and Training

14 min read

Understanding LLM Architectures and Model Training Large Language Models (LLMs) are transformi...

August 4, 2024
Why to Finetune LLM?

Why to Finetune LLM?

15 min read

Finetuning, Fewshot Learning, Why and How? Why to finetune a LLM? Fine-tuning a large languag...

July 28, 2024 NLP, NLU, LLM
Software Security Concepts

Software Security Concepts

10 min read

Software Security Concepts As of today, this article is answering following questions related ...

July 27, 2024
Stanford Alpaca

Stanford Alpaca

6 min read

Stanford Alpaca Introduction Stanford Alpaca Github Report Stanford Alpaca is An “Instruct...

July 27, 2024
Serverless databases

Serverless databases

3 min read

Serverless databases A serverless database is a type of database service that automatically ma...

July 23, 2024
AI in Health Care

AI in Health Care

8 min read

AI in Health Care Human health is paramount for inviduals, governments, hospitals and other re...

July 22, 2024
All about Hashing

All about Hashing

8 min read

All about Hashing What is Hashing function? A hashing function is a mathematical algorithm tha...

July 11, 2024
Creating Docker Image

Creating Docker Image

6 min read

Creating Docker Image What is Docker? Docker is an open platform for developing, shipping, ...

July 10, 2024
REST API

REST API

14 min read

REST API An API (Application Programming Interface) is a set of rules and protocols that allow...

July 4, 2024
NLP BenchMarks

NLP BenchMarks

8 min read

NLP BenchMarks What is Language Model? A language model is a computational model that understa...

July 3, 2024
Decoding Windows User Folder

Decoding Windows User Folder

6 min read

Decoding Windows User Folder My machine c:\users folder has 3 users Detault, harip, public. Wh...

June 30, 2024
Decoding docker commands

Decoding docker commands

29 min read

Decoding docker commands Is this article for me? If you are coming from IT Infrastructure back...

June 28, 2024
Graph of Thoughts

Graph of Thoughts

2 min read

Graph of Thoughts This is a valuable resource for learning Graph of Thoughts (GoT) concepts. T...

November 11, 2023 NLP, NLU, LLM
What is LLM

What is LLM

20 min read

What is Large Language Model Introduction LLM stands for Large Language Model. It is a type of...

August 18, 2023 LLM, GPT, BERT
What is CAPTCHA?

What is CAPTCHA?

1 min read

What is CAPTCHA? CAPTCHA stands for “Completely Automated Public Turing test to tell Computers...

July 3, 2023 Glossary
Linux OS Directories

Linux OS Directories

4 min read

Linux OS Directories Linux OS Folders and the purpose. Introduction: Linux is a widely used ...

April 26, 2023 Linux
Books on Conciousness

Books on Conciousness

52 min read

Books on Conciousness Introduction If you are from the software industry and especially in a ...

February 6, 2023 NLP, BOOKS
Responsible AI

Responsible AI

4 min read

Responsible AI Introduction: Artificial Intelligence (AI) is rapidly transforming the way we ...

February 3, 2023 AI Ethics
Type of Databases

Type of Databases

9 min read

What are the various types of databases? Introduction In the 21st Century, Data is the real o...

January 25, 2023 Database
What is GAN?

What is GAN?

5 min read

What is GAN? What is GAN (Generative Adversarial Network)? Generative adversarial networks (GA...

January 17, 2023 NLP
What is NLP?

What is NLP?

12 min read

What is NLP? Humans interact with their surroundings using different kinds of inputs. Eyes deal...

December 19, 2022 Machine Learning
What is XAI?

What is XAI?

4 min read

What is XAI? XAI in Simple Language! The discipline of Data Science and AI has introduced man...

May 15, 2020 XAI, Explainable AI

To have one-on-one coaching, counselling, mentoring session with me, you can reach me via buymeacofee (BMC) link. I conduct sessions on Data Science, AI Technologies and Project Management. 30 min life coaching sessions are free.

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