This is my info—I’m sharing it all this with ya’ll to impress you with all the hard work I’ve done in the past few years. Once you’re impressed, you can continue to scroll down to see more details and credentials about me.

Hello I’m TARUN KUMAR MOHAPATRA Welcome to my Portfolio Website

Code of the  above Project you can find below github repo link



Repository

This is a Binary Classification Project based on data set from NIDDK which is able to predict whether a person has diabetes or not with 85% accuracy


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Etiam facilisis lacus nec pretium lobortis. Praesent dapibus justo non efficitur efficitur. Nullam viverra justo arcu, eget egestas tortor pretium id. Sed imperdiet mattis eleifend. Vivamus suscipit et neque imperdiet venenatis. In malesuada sed urna eget vehicula. Donec fermentum tortor sit amet nisl elementum fringilla. Pellentesque dapibus suscipit faucibus. Nullam malesuada sed urna quis rutrum. Donec facilisis lorem id maximus mattis. Vestibulum quis elit magna. Vestibulum accumsan blandit consequat. Phasellus quis posuere quam.

> “Everybody should learn to program a computer, because it teaches you how to think.”

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Nam rutrum magna sed pellentesque lobortis. Etiam quam mauris, iaculis eget ex ac, rutrum scelerisque nisl. Cras finibus dictum ex sed tincidunt. Morbi facilisis neque porta, blandit mauris quis, pharetra odio. Aliquam dictum quam quis elit auctor, at vestibulum ex pulvinar. Quisque lobortis a lectus quis faucibus. Nulla vitae pellentesque nibh, et fringilla erat. Praesent placerat ac est at tincidunt. Praesent ultricies a ex at ultrices. Etiam sed tincidunt elit. Nulla sagittis neque neque, ultrices dignissim sapien pellentesque faucibus. Donec tempor orci sed consectetur dictum. Ut viverra ut enim ac semper. Integer lacinia sem in arcu tempor faucibus eget non urna. Praesent vel nunc eu libero aliquet interdum non vitae elit. Maecenas pharetra ipsum dolor, et iaculis elit ornare ac.

Aenean scelerisque ullamcorper est aliquet blandit. Donec ac tellus enim. Vivamus quis leo mattis, varius arcu at, convallis diam. Donec ac leo at nunc viverra molestie ac viverra nisi. Proin interdum at turpis at varius. Nunc sit amet ex suscipit, convallis ligula eu, pretium turpis. Sed ultricies neque vel mi malesuada, et mollis risus lobortis. Sed condimentum venenatis mauris, id elementum dolor gravida ac. Sed sodales tempus neque, quis iaculis arcu tincidunt ut. Donec vitae faucibus dui. In hac habitasse platea dictumst. Donec erat ex, ullamcorper a massa a, porttitor porta ligula.


Diabetes Prediction

Code of above Project you can find below github repo link


This is a hybrid recommendation system with popularity-based and collaborative based filtering This model is able to give the top 50 books for all users, also able to recommend 5 more books to user according to his/her preferernce

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Etiam facilisis lacus nec pretium lobortis. Praesent dapibus justo non efficitur efficitur. Nullam viverra justo arcu, eget egestas tortor pretium id. Sed imperdiet mattis eleifend. Vivamus suscipit et neque imperdiet venenatis. In malesuada sed urna eget vehicula. Donec fermentum tortor sit amet nisl elementum fringilla. Pellentesque dapibus suscipit faucibus. Nullam malesuada sed urna quis rutrum. Donec facilisis lorem id maximus mattis. Vestibulum quis elit magna. Vestibulum accumsan blandit consequat. Phasellus quis posuere quam.

> “Everybody should learn to program a computer, because it teaches you how to think.”



Book Recommendation System

Project Link

The Business Insight 360 report is designed to provide a comprehensive overview of the organization's financial performance, sales, supply chain, marketing, and executive performance.

The Business Insight 360 report is designed to provide a comprehensive overview of the organization's financial performance, sales, supply chain, marketing, and executive performance.
 

The Finance view in this report provides a detailed look at the company's financial data, including revenue, expenses, profits, and loss. It allows users to analyze financial data across different time periods, compare performance against targets, and identify trends and areas for improvement.

 

The Sales view provides a detailed look at the organization's sales performance. This view allows users to analyze sales data by product, customer, region, and other key metrics. The Sales view provides insights into sales trends, customer behaviour, and market share, enabling businesses to optimize their sales strategies and drive growth.

 

The Supply Chain view in the report provides visibility into the organization's supply chain operations, allowing users to track inventory levels, monitor supplier performance, measure forecast accuracy and optimize the supply chain to reduce costs and improve efficiency.

The Marketing view provides insights into the organization's marketing campaigns, enabling users to track the performance in different regions, spending in discount, actual profit after discount and optimize marketing strategies to drive customer engagement and sales.

 

Finally, the Executive view provides an overview of key performance indicators (KPIs) and metrics that are critical to the success of the organization. This view provides a high-level overview of the organization's performance, allowing executives to identify areas of concern and take corrective action quickly

.

Overall, the Business Insight 360 report in Power BI provides a comprehensive view of the organization's performance across different functional areas. It enables the business to identify opportunities for growth, optimize its operations, and make data-driven decisions that drive success.


Business Insight 360

Projects:

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Medium Link

Posts

# Introduction

Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply ML algorithms to produce AI systems. These systems generate insights that analysts and business users can translate into tangible business value. Here I will discuss different non-tool skills which will help one succeed in this career path easily.

![](https://miro.medium.com/v2/resize:fit:700/0*zvDPqq6aMtzCbMar)Photo by [Lukas Blazek](https://unsplash.com/@goumbik?utm_source=medium\&utm_medium=referral) on [Unsplash](https://unsplash.com/?utm_source=medium\&utm_medium=referral)

## 1. Patience

This is the most important skill required to be a good data science professional. Most of the time people get impatient while learning difficult concepts, and tools and when they do not get immediate results. Data science is more about the journey than the destination, so enjoy this journey as much as possible.

## 2. Avoide Comparision

Try to avoid comparing your progress with others because your destination may be the same but the journey is different, rather compare your progress with yourself and how much you improved.

## 3. Procrastination

Procrastination is the act of delaying or postponing a task or set of tasks. This habit creates lots of problems during preparation because it piles up tasks and increases the time duration required to complete, eventually it decreases the motivation level. So avoid it as soon as possible.

## 4. Time Management

Manage your time properly because this is the most valuable asset. Make a proper schedule. Be flexible in your schedule. Try to allot time to every other thing be it your social obligation, family time, fitness and job etc.

## 5. Neophobia

It stands for fear of trying out new things. During the data science journey, one has to learn a lot of different skills. So never fear to try out new tools if required. The most important point here is to start. Eventually, you will feel comfortable once you dedicate the minimum required hours.

## 6. Atychiphobia

This stands for an intense fear of failure. It may cause you to put off or avoid any activity or scenario that has the potential for an unsuccessful outcome like mock interviews, mock tests or initial real interviews where there is a high chance of rejection. But remember one thing every failure gives you some amount of experience. So do it even if you don’t feel comfortable.

## 7. Feeling Under Prepared

You may never get to a moment where you feel completely ready. There will be selective preparedness and calculated unknowns, but never all the way ready, so start anyway.

## 8. Ignore The Noise

You might come across these lines, There will be no job in the future AI will replace everything. But believe me, AI will not take your job, a person with knowledge of AI will take your job. So prepare to become that person who can create or use AI.

## 9. Avoide Learning Too Many Things simultaneously

Try to learn technology one by one with a proper roadmap.

## 10. Trying To Master One Technolgy

The Data Science curriculum is huge, so never dedicated your entire time to mastering one technology. It is very important to know what not to learn rather than what to learn.

## 11. Communication Skill

By far the most important non-tech skill one should have. You must have very good communication skills. Because it is the most useful skill which helps you starting from your interviews to day-to-day work in the data science industry. A lot of time you need to engage with stakeholders, clients, colleagues, and data engineers. This helps you to ask the right questions, deliver your thought and many more.

## 12. Problem-Solving Acumen

How you react to a problem, How structured your thinking is, and How much analytical skill you have to solve the problem. These things matter most

## 13. Story Telling

Presenting your work in terms of story is one of the great skills to have. It helps to engage your audience with your idea.

## 14. Project Management Skills

Ability to work with a team and collaborate with others, knowing Agile Methodology principles always helps.

## 15. Domain Knowledge

This is the most in-demand skill because it has no substitution, It comes with experience and this skill is not for freshers.

## 16. Corporate Fit

Finally, last but not least you must have good interpersonal skills or soft skills which make you a corporate fit.


Top Non-Tool Skills Required For Data Science Aspirants 🚀

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Habits of highly productive web developers ⌨️

Stay up-to-date with my words ✍️


Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed ante lorem, tincidunt ac leo efficitur, feugiat tempor odio. Curabitur at auctor sapien. Etiam at cursus enim. Suspendisse sed augue tortor. Nunc eu magna vitae lorem pellentesque fermentum. Sed in facilisis dui. Nulla molestie risus in mi dapibus, eget porta lorem semper. Donec sed facilisis nibh. Curabitur eget dui in libero euismod commodo nec sit amet est. Etiam id ipsum aliquam, vehicula erat sit amet, consequat tortor.

Etiam facilisis lacus nec pretium lobortis. Praesent dapibus justo non efficitur efficitur. Nullam viverra justo arcu, eget egestas tortor pretium id. Sed imperdiet mattis eleifend. Vivamus suscipit et neque imperdiet venenatis. In malesuada sed urna eget vehicula. Donec fermentum tortor sit amet nisl elementum fringilla. Pellentesque dapibus suscipit faucibus. Nullam malesuada sed urna quis rutrum. Donec facilisis lorem id maximus mattis. Vestibulum quis elit magna. Vestibulum accumsan blandit consequat. Phasellus quis posuere quam.

Vestibulum ullamcorper risus auctor eleifend consequat. Vivamus mollis in tellus ac ullamcorper. Vestibulum sit amet bibendum ipsum, vitae rutrum ex. Nullam cursus, urna et dapibus aliquam, urna leo euismod metus, eu luctus justo mi eget mauris. Proin felis leo, volutpat et purus in, lacinia luctus eros. Pellentesque lobortis massa scelerisque lorem ullamcorper, sit amet elementum nulla scelerisque. In volutpat efficitur nulla, aliquam ornare lectus ultricies ac. Mauris sagittis ornare dictum. Nulla vel felis ut purus fermentum pretium. Sed id lectus ac diam aliquet venenatis. Etiam ac auctor enim. Nunc velit mauris, viverra vel orci ut, egestas rhoncus diam. Morbi scelerisque nibh tellus, vel varius urna malesuada sed. Etiam ultricies sem consequat, posuere urna non, maximus ex. Mauris gravida diam sed augue condimentum pulvinar vel ac dui. Integer vel convallis justo.

Nam rutrum magna sed pellentesque lobortis. Etiam quam mauris, iaculis eget ex ac, rutrum scelerisque nisl. Cras finibus dictum ex sed tincidunt. Morbi facilisis neque porta, blandit mauris quis, pharetra odio. Aliquam dictum quam quis elit auctor, at vestibulum ex pulvinar. Quisque lobortis a lectus quis faucibus. Nulla vitae pellentesque nibh, et fringilla erat. Praesent placerat ac est at tincidunt. Praesent ultricies a ex at ultrices. Etiam sed tincidunt elit. Nulla sagittis neque neque, ultrices dignissim sapien pellentesque faucibus. Donec tempor orci sed consectetur dictum. Ut viverra ut enim ac semper. Integer lacinia sem in arcu tempor faucibus eget non urna. Praesent vel nunc eu libero aliquet interdum non vitae elit. Maecenas pharetra ipsum dolor, et iaculis elit ornare ac.

Aenean scelerisque ullamcorper est aliquet blandit. Donec ac tellus enim. Vivamus quis leo mattis, varius arcu at, convallis diam. Donec ac leo at nunc viverra molestie ac viverra nisi. Proin interdum at turpis at varius. Nunc sit amet ex suscipit, convallis ligula eu, pretium turpis. Sed ultricies neque vel mi malesuada, et mollis risus lobortis. Sed condimentum venenatis mauris, id elementum dolor gravida ac. Sed sodales tempus neque, quis iaculis arcu tincidunt ut. Donec vitae faucibus dui. In hac habitasse platea dictumst. Donec erat ex, ullamcorper a massa a, porttitor porta ligula.
