A comprehensive guide to scraping tweets coherent with Twitter

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When it comes to preparing a dataset of tweets to perform data modeling, Twitter has limited options for the data wizards. We are left to a bare minimum of choices while Twitter keeps updating its end support to the various algorithms that existed to do the job. As of June 2021, if you are looking to scrape tweets in millions, you’ve landed at the perfect material!

From January 2021, I was working on a healthcare project to identify the conversations around the COVID-19 vaccine around the world, people’s sentiments, and the popular topics of conversations using the tweets talking about…

A guide that helped me ace my interviews successfully and land job offers!

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It’s 2:34 PM on a Friday, you are wrapping up your week to relax on the weekend or are still applying to several applications and you get an email from an HR recruiter asking your availability for the first round of interviews. This is great news! What to do now?

That is the time, you take a pause, plan, and prepare for your interview.

Job search is one of the most challenging processes each one of us goes through. …

7 Ways to Improving Your Data Science Job Offer in 2021

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In the rapidly expanding data world of today, Data Scientists are hired at a rate like never before. With the technology advancing each day and ruthless competition to get hired, there are many battles that a candidate fights and wins before landing the offer. As tempting it might be to jump on the first offer given to you, especially for someone trying to break into the data science world — that’s not a great idea!

Whether you are a new hire or an experienced looking for a job change in the field of Data Science, with this blog, we will…

Accelerate your Data Science Career in 2021

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In the rapidly expanding world of today, when technology is progressing at a rate like never before, humans tend to generate a lot of data. Data — the new business frontier demands that it be analyzed. Businesses are hiring for data-related roles at an exponential rate. In the past two years, I have come across many people looking for a career change or learn the ecosystem of DATA.

From taking online courses, reading books, learning coding languages — there are various channels to begin your Data Science journey.

I am a Management Information Systems grad at the University of Illinois…

A cheat sheet for interviews at Microsoft, PepsiCo, Charles Schwab, EA, and more...

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The new age of technology-driven data has opened up a multitude of opportunities in the data horizon. People interview for data roles all the time. And that makes the job search very competitive. In this world challenging the adverse impacts of the global pandemic, only the best inline gets a chance to be interviewed for a role and to be hired. In such a case, we must prepare well.

In the past two years, I interviewed for a Business Analyst role (2019), Data Engineer role (2019), and Data Scientist roles (2020) with companies as Microsoft, PepsiCo, Charles Schwab, Electronic Arts…

5 skills to master beyond Python.

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In the rapidly expanding technological world of today, when data has exceeded millions of billions of bytes, it is crucial that generated data is analyzed and put to further use. Data is now a new chapter of how businesses work.

I comprehend data science to be a process of combining the tools best suited to get the job done; an extraction process where knowledge from data answers a particular question. Not every technologist is passionate about every other skill, but they will be excited about skills from her area of work.

Python (created by Guido van Rossum, released in 1991)…

A beginner’s guide to understanding the TensorFlow landscape

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For a long time, I wanted to learn TensorFlow and I finally decided to start learning this month. I used TensorFlow when I was in the robotics team during my undergrad but that was superficial knowledge.

Google developed TensorFlow and it is one of the most popular and widely used libraries for developing and deploying Machine Learning and other algorithms that has a large number of mathematical operations to perform.

Google launched TensorFlow to introduce an ecosystem that provides a collection of workflows to develop and train models, for implementing Machine learning in almost all applications. Actually, we all use…

Roles across Data Analytics, Software Engineering, Product Management and Business Analytics

November 7, Saturday

INFORMS Chapter at the University of Illinois, Chicago hosted a panel discussion on “How to approach entry-level roles” with panelists across career pathways of Data Analytics, Software Engineering, Product Manager and Business Analytics

Pooja Sund — Director, Technology and Analytics, Microsoft

Jason Eilts — Software Development Manager, Amazon

Amani Konduru — Product Manager, PayPal

Monalisa Chati — Strategy & Business Operations Leader, ServiceNow

Every year, be it winter or summer, thousands of college grads enter the job market and navigate through the highs and lows. Be it internships or full-time, searching for an entry-level job can be quite the catch…


The most comprehensive data career pathways guide out here

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In the rapidly expanding technological world of today, when humans tend to generate a lot of data, it is quintessential that data is analyzed. Data is now the new front for business or I can say it has become fuel for businesses of the age. For an organization to work with data and information, an assortment of jobs can be acquired to gather, arrange, and examine the information.

There will be an estimated of 11.5 million new jobs by 2026 (source: U.S. Bureau of Labor Statistics)

From taking the information from crude functions right through noteworthy bits of knowledge, there…

Data Science use cases you might not have explored before...

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When I wrote the first part of the blog Top 9 Data Science Careers of the Future in July, I did have in mind other Data Science career pathways that needed to be put out. I was overwhelmed to see people reaching out on this particular blog and sharing the views on many other careers: retail, education, and more.

Well, it is time that I finally write a Part 2 on Top Data Science Careers of the Future.

In the rapidly expanding technological world of today, when humans tend to generate a lot of data, it is quintessential that data…

Rashi Desai

I visualize data | Graduate Student from Chicago who writes blogs | Tech Speaker 🎤 | Dreamer!

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