Career Archives - DataToBiz

Yashica Chopra
June 29, 2022
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12 Best Tech Companies to Work For in 2023

The best tech company is the one that allows a candidate to achieve their dreams, follow their passion and ultimately become successful in the IT industry. Let’s look at the top 12 tech companies to work for in 2023 and know more about the job opportunities they offer. Technology is a part of our lives. Many of us work with technology for a living. Even non-technical jobs require technology in today’s world. And the tech industry is a world of its own. Working for tech companies is a big deal in many ways. While the brand name, pay package, and popularity are one side of the story, the other side deals with the passion of being an IT employee. Whether you are a developer, programmer, software engineer, data scientist, or ML engineer, the tech industry is your home and dreamland. It’s where you explore your strengths and work on your weaknesses to become better at your profession. You gain domain experience and move forward in your chosen career path. All of this is possible when you choose the right tech company to work for, and the right choice depends on what you want for your career. While you figure it out, let’s look at the best tech companies to work for in 2023. We have fast-growing service providers and established market leaders on our list so that you don’t miss out on the chance to make it big. And that’s not the only factor we considered. We understand the need for work-life balance, an inclusive and positive work culture that allows employees to express their ideas without doubt and provide them a platform to take risks. Having leaders who mentor the team members and encourage them to do better is something every candidate wants at work. A leader who is not prone to partiality and can provide constructive feedback and assessments nurtures the entire team. The companies on our list offer all of this and more. Remember that the tech companies also have HR, marketing, finance, and other departments. 1. DataToBiz DataToBiz is a company that believes in teamwork and has a friendly work environment. With flexible working hours, a casual dress code, and a flat job hierarchy, the company knows how to keep the employees happy and stress-free to increase productivity. As one of the top tech companies to work for in 2023, DataToBiz ensures extensive training and ample rewards for its employees. The company believes in diversity and inclusion. There are openings for various positions in the company, two of which belong to the non-IT departments (marketing and HR). The company is always looking to expand the team and acquire more talent. DataToBiz is one of the fastest-growing solution providers in the IT industry with industry-leading solutions such as PrepAI (an AI-powered question generation platform) and HireLakeAI (an all-in-one smart recruitment solution). The company is located in India and has clients from the Middle East and the West and other parts of the world. It works with various domains like data science, artificial intelligence, machine learning, and business intelligence. The company develops new ML models and customizes the existing ones to assist its clients with digital transformation. 2. Google Just about everyone has heard of Google. While the search engine is a part of most lives, the company is home to people responsible for offering a vast array of services around the world. Google, without a doubt, is among the world leaders in the IT industry. This multinational company (with headquarters in the US) is known for having a relaxed and productive workplace. Google has in-house and remote teams collaborating on various projects. From cloud engineering to data center responsibilities to hardware and software development, Google has openings in different job positions. The company is also looking for executive leaders and department heads at different locations. Students and aspiring graduates can check out the openings for interns, part-time, and temporary positions. 3. Microsoft Microsoft is a well-known name in the global market. This American company was established in 1975 and had been a pioneer in developing some of the best technologies over the years. Microsoft is a multinational company and has employees from different countries across the globe. The company prides itself on being diverse and inclusive (having employees with disabilities showcase their skills). Microsoft has various job opportunities for students, recent graduates, and experienced IT professionals. From cloud to artificial intelligence to software development, the company works with different domains in the tech industry. Autonomy, passion, and empowerment are the keywords at Microsoft. 4. TCS Tata Consultancy Services (TCS) belongs to the much-acclaimed Tata Group and is one of the best tech companies to work for as a beginner. The Indian multinational company was founded in 1968 and offers IT services in 46 countries around the globe. The company has ranked the first spot on LinkedIn among the top companies in 2023. TCS has job openings for fresh graduates, experienced professionals, and women professionals looking to rebuild their careers after a break. The inclusive and diverse workforce is also a pioneer in research, development, and innovation. From automation to analytics to blockchain, AI, cybersecurity, IT consulting, and sustainability, TCS has various domains and is a part of several industries in the market. 5. IBM IBM (International Business Machines) was established in 1911 and has been dedicated to providing computer-based services to different organizations from across the globe. The company has a global presence and has played a crucial part in promoting digital transformation. This US-based company has gained a reputation for developing cost-effective hardware and software solutions for domestic, commercial, and industrial use. Inclusivity is the highlight of IBM’s workplace policy. The company believes in applying intelligence, logic, reasoning, and science to improve the social and human conditions in the world. IBM creates a work environment that promotes learning, collaboration, and trust. The company also takes its social responsibility seriously and is eco-conscious. The flexible work environment encourages work-life balance. 6. Tesla Tesla was started in 2003 as

Vaishali
June 18, 2020
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5 Tips To Build A Career In Data Analytics | Kick Starting Your Career!

It is a question that a lot of people have asked me umpteenth times! My answer to most of them was that Analytics is all around you-you just need to take the ability to apply Analytics to the business world. Now, this may seem like a declaration of motherhood, made with the intention of not having any clear instructions on how to accomplish it. Yet, the ability to make a career transition to Analytics is more than ever beckons now. Nearly every major research and data consulting firm on the planet has understood Analytics’ far-reaching implications. Further, they have started to create teams to prepare for the opening of corporate floodgates to embed Analytics in their daily business decision-making processes and shape their strategic thinking. In Analytics, a massive shortage of qualified people can help corporate houses make the most of the data that is being processed and produced at a frenetic speed. It can be daunting to know data science when you’re just starting your journey, especially so. What learning tool-R or Python? What strategies to focus on? Too much to know from the statistics? Want I to know to code? These are a few of the many questions that you need to answer as part of your journey. That’s why I thought I ‘d be creating this guide to help people start in analytics or data science. The aim was to create a natural, not very long guide that will set your path to data science learning. This guide will set a structure during this challenging and daunting time to learn data science. Learn The Tools Of Trade SAS, SPSS, R, SQL, and … Start with whichever tool you can access. Often you’ll be shocked to find that your company does have a device that you figured it didn’t exist. While I was busy negotiating licenses for my team with SAS in one of my previous jobs, a mine colleague, an Actuary, told me that he had seen a SAS session in one of his team leader’s PCs often back. I followed that team member up, and we found we already had a SAS server in place waiting to be used! Education is not about understanding anything, but about extensively educating significant pieces, and acquiring a sound knowledge of what you are learning. I would rather have a candidate who knows a lot about running a regression in SPSS than a person who has half-baked information. If you can bring together one tool and a few modules/techniques of the method, then you have a better chance to get a job and also get a job. Pick up and start using a readily available method to you-SAS, SPSS, R (now accessible as an open-source). As I said before, you must get an end-to-end experience of whatever subject you ‘re pursuing. A challenging problem one faces in getting to grips with is which language/tool you should choose? It would probably be the Beginners’ most asked question. The most straightforward answer would be choosing any of the mainstream tools/languages available and starting your data science journey. Tools are, after all, merely means of implementation, but it is more important to grasp the definition. The problem remains: Which choice would be better to start with? On the internet, numerous guides/discussions answer this particular question. The gist is that you start with the simplest language or the one you know the most about. If you are not equally versed with coding, GUI-based tools should be preferred for now. Then, with the coding part, you can get your hands on as you grasp the concepts. Learn The Tricks If you mastered the software, your work is just half over. The tricks of the trade must be taught. There are now two choices before you- a) Learn from another seasoned person / s who may be there in your company b) Learn from qualified curricula. The self-help tutorials won’t provide you with the secret Analytics ingredient that is important to be able to deploy Analytics to solve real-life problems. The outputs from running procs in SAS or SPSS models produce a significant number of statistics. One of the most valuable secrets that only experienced analytics experts would be able to share is knowing which statistics to look at and which ones to disregard. Now that you’ve selected a job, the next logical thing for you is to make a committed effort to understand that job. It does not only mean going through the role ‘s specifications. There’s a massive demand for data scientists, and thousands of courses and studies are out there to take your hand, you can learn whatever you want. It’s not a hard call to find content to learn from; however, learning it can become if you don’t put work into it. You can take up a freely available MOOC or join an accreditation program that should take you through all the twists and turns the role that comes with it. When you are taking a course, consciously go through it. Ignore the coursework, tasks, and all the discussions that take place around the course. For starters, if you want to be a machine-learning engineer, Andrew Ng may take up Machine-learning. Now you must obey all the course materials included in the course with diligence. It also means the assignments that are as critical as going through the videos in the course. Just doing an end to end course will give you a better field picture. Coursera-Decision-Making Based On Data PwC offers this course, and naturally, it’s more weighted towards business practices than theory. However, it does cover the broad range of approaches and resources that companies are using to address data problems today. EdX-Essentials Of Data Science This course is provided by Microsoft and is part of their Data Science Professional Program Certificate. Until taking this course, you need to have beginner level knowledge of Python or R, though. Udacity-Machine Learning Intro Machine learning is a hot subject right now

Nishant Thakur
January 12, 2019
1 Comment

What it’s like to be an intern at DataToBiz

When it all began… In this blog, I am going to talk about my experience of being an intern at DataToBiz. I still remember the day when I reached the DataToBiz office on day 1 at 9:30 am sharp and met Mr. Parindsheel and Mr. Ankush, both co-founders, about my previous experiences and my expectations from the internship in their start-up. Mr. Parindsheel was my internship mentor. I was assigned a project by Mr. Parindsheel after 10 minutes of my reporting. The project was related to a solution for the FinTech industry. I had never previously worked in this domain and it was a completely new challenge for me. So, I tried to explore the domain as a first step as suggested and advised. As quickly as post-lunch, sir asked for my insights towards the dataset I was handed to explore. As a beginner in the machine learning field, I found an insight that could be predicted from the given data. It amazed me when I was explained about the data from a business point of view and was guided to look at each dataset from similar angles. That is how I realized that I was at the right place. I began right that moment and because of the spot on pointers, successfully completed my project well in time. I also got the opportunity to work on another project related to computer vision in the remaining time. People at DataToBiz… People at DataToBiz are amazing and unique. The best thing about my internship was the people around me. Team DataToBiz is a beautiful balance of talented people who work as a team. They will be the main reason for my learning curve which I felt was exponential. The team was really supportive and ready to help at any time. The talks over tea… This was the best time of the day when the entire team assembled in the cafeteria for tea or coffee and shared their experiences and ideas. This was also the best time to interact with all the people at DataToBiz. We talked about future plans, college life, our hobbies, interests, and whatnot. This was the part of my internship that I will never forget. Life at Chandigarh… Chandigarh is one of my favourite cities since childhood. The public transport is really efficient and you don’t have to wait for more than 15 minutes for a bus and there are no traffic-jam problems. There are many amazing places to visit in Chandigarh like rock garden, Sukhna lake, Elante Mall, Mansa Devi temple, and quite a number of gardens. There is no problem in getting good food in Chandigarh and you can get all types of cuisines. The PGs are also affordable here. In my view… DataToBiz is an amazing company or start-up and I got more than I expected from my internship experience. I learned many new techniques and approaches in machine learning. DataToBiz helped me to look at any problem from a business point of view. I also developed an interest in computer vision during my internship. In my view, DataToBiz has infinite opportunities for data scientists as well as for developers. They have some really cool projects in every field like computer vision, fintech, natural language processing, healthcare, etc. A team worth aligning your career with. About Author: Nishant is a student of B.Tech + M.Tech (Dual Degree) in Biotech at IIT Kharagpur. He worked with DataToBiz for 1-month internship in Dec, 2018 & still aligned with the company on a part-time basis.

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