Khushbu Agrawal – Data Warehouse Engineer in Bangalore

Khushbu Agrawal – Data Warehouse Engineer in Bangalore


Data Warehouse Engineer
Bangalore, India
Joined: 2017

So tell us about what it’s like being a Data Warehouse Engineer at Groupon.

I create something meaningful for everybody. Yes, there is a lot of data generated everywhere. As a Data Warehouse Engineer, I convert data into meaningful information which is critical for the business to make more informed decisions in order to grow the company.

What does a typical day look like for you?

My day basically in office starts up with the standup call, which gives the team a good head start. I then work on a couple of user requests along with small breaks in between. Yes, I don’t forget enjoying time with my colleagues in the chaos of work, too. At the end of the day, it gives me a sense of accomplishment with work, fun, and food

What’s the most challenging thing you’ve worked on so far?

GDPR compliance is keeping everyone on their toes. Lots of old technology is going off and users sensitive information is to be kept hidden. I am working on this piece of work which is quite challenging.

What do your parents think you do?

Who knows, ha! They think I do stuff on a laptop.

What has been surprising about Groupon so far?

Groupon has every type of engineer. Any technology, you name it, Groupon has a skilled resource for it. Great learning with a great future is guaranteed here.

What’s your favorite programming language?

I love coding in Unix.

What’s unique about Groupon’s Engineering culture?

It’s open and full of unique, talented people.

What’s your favorite conference room?

What’s your favorite Groupon memory?

Participating in GEEKon, our global internal hackathon. I had just joined Groupon two months prior and I was so thrilled to see people excited and geared up for the event. Each team came up with unique ideas, and I too took part in it. It was fun working with and learning from other teams. My team worked on creating a multi-dimensional analysis (OLAP) on Hadoop using open source Apache Kylin. This provided us low latency and higher performance even in the TB of data. I was the Architect and designer of this project. This project gave us good learning and exposure!

What are your hobbies outside of work?

Traveling, hanging around with friends, and last but not least, online shopping. 🙂


Women@Groupon – Kristi Angel, Data Scientist

Women@Groupon – Kristi Angel, Data Scientist


Data Scientist
Chicago, IL
Joined: 2015 & 2016

“That’s great, it starts with an earthquake…Birds and snakes, and aeroplanes…And Kristi Angel is not afraid…”

What was your first role here? How did you get to where you are today?

I started as a Contract Tableau Analyst while in graduate school. I left that position to focus on finishing my M.S. in Statistics. I had fallen in love with the culture at Groupon. Having made some great connections during my brief tenure, I was able to find the perfect role for myself doing challenging work on a super smart and supportive team with incredible leadership.

After I graduated, I returned as an Experimentation Analyst. The needs of my team shifted and I grew into taking on more complex projects. Here at Groupon, I’ve been given a lot of autonomy in developing my career and identifying projects that are right for our platform but also aligned with my own professional development goals. After eight months, I spoke with my manager about a change in title to Data Scientist to more closely reflect the work that I was doing. I was humbled by the support I received from my peers and leadership across Groupon to make that happen!

What did you do before Groupon?

Blood, sweat, tears, and a lot of eraser dust! (That was a math joke.) Fun Fact: I was a waitress for 20 years before I joined Groupon! I worked while studying Physics as an undergrad and then while completing my M.S. in Statistics.

So tell us more about your job! What do you do every day? What do you love about it?

I am a Data Scientist working in the Experimentation space. We are a team of Developers and Data Scientists and together we build Groupon’s A/B Experimentation platform.

In my role, I work with Product Managers and Engineers to help develop sound experimentation design, to interpret results, and to debug experiment configuration (and occasionally, our platform 😉 ). I also research methodology for new features on our platform and help develop and validate our data pipeline and import process. Additionally, I help guide the roadmap for our team, partner with other organizations within Groupon to grow relationships and improve operational efficiency, and advocate for sound statistical practices and data literacy for all!

I love that I get to stretch my leadership skills, make mistakes, and learn from my peers. Above all, I love that every now and then, a great idea strikes and I get to make someone else’s job a little easier or I find a novel way to increase the value my team delivers to Groupon. I owe this to my coworkers who have trusted my perspective and skill set, elevating my voice from Day 1.

What’s your favorite part about your team’s Software Development process?

We are very democratic and thoughtful about process. Also, we have a lot of say in the features we work on. We work closely with our customers and are best positioned to assess the impact a new feature can bring. If anyone on our team has an idea about a feature or improvement they would like to see implemented on our platform and they are willing to really advocate for it and prove its value, there’s a good chance s/he will be able to see it through to production.

You’re involved with PRIDE@Groupon, Women@Groupon, and Groupon Volunteers. Why do you participate?  I joined because I care. And there’s so much power in joining forces with others who care! Interestingly, one of the unintended side effects of joining Groupon’s Employee Resource Groups is that I have made some of the strongest connections through participating in ERG events. The camaraderie that develops through participation means you always have your own personal cheerleading section. And everybody needs one of those from time to time! What’s unique about Groupon’s Engineering culture? Everyone here is incredibly kind, helpful, empathetic, super smart, and fun! I’ve learned so much about being a person in the past two years and I owe that to my peers, my mentors, and strong leadership all around. What’s something that would surprise people to learn about Groupon Engineering? Our people genuinely care about people. This is a place where we encourage an experimentation mindset, failing fast and moving forward. We really value the process of giving and receiving feedback at all levels. It’s how we grow. Name your favorite programming language. I’m a statistician by trade so, R. How does your work connect to Groupon’s mission of building the daily habit in local commerce? We provide tools for Product to rapidly and iteratively make improvements to our mobile apps and our website. Building tools to help guide efficient and effective product development helps Groupon to capitalize on optimizations that drive the daily habit.

Tell us about the most challenging thing you’ve worked on here.

I just rewrote our experimentation platform’s stats libraries in R. The goal was to create experiment metadata for a project I am working on. It’s a rather complex system with nuance and so validating my model with our platform has been trying at times. But, I was able to identify a few places in our platform where we could improve our methodology. And the metadata that I have created will serve our Data Science team on a number of future projects.

What’s your favorite Groupon memory?

This past September, Groupon participated as a sponsor at Chicago Women In Technology where our VP of Engineering Operations, Erica Geil, spoke. Later that same beautiful late summer day, the Women @ Groupon Employee Resource Group hosted a happy hour on our roof top deck where Silvija Martincevic, GM of Health, Beauty, and Wellness, spoke about her own career path. It was just an incredible day, taking in the sunshine with strong, successful, empowered women and learning from everyone’s unique journey.

What’s your favorite local business?

Can I have three? (Yes, you can!)

Lombard Skate Shop: Steve is super knowledgeable about getting a person into the right skates and gear for them.

Play: A children’s toy store in Logan Square with really unique and smart gifts for kids of all ages.

And Wasabi: It has been a pleasure to watch my favorite ramen shop grow over the years. I used to be one of a few in there weekly. Now there is a line out the door nightly.

What do your parents think you do?

my_family <- ¯\_(ツ)_/¯

What keeps you fulfilled outside of work?

I can generally be found cooking, eating ice cream, checking out new restaurants, roller skating, chilling with my cat-dudes, traveling, or seeing live music.

Tell us something about you that might surprise us!

What about me would surprise people? That I love The Muppets? I was in the Army for 6 weeks? I attended 9 different colleges and universities? I was an undergrad for 14 years? I was a waitress for 20 years? I know all the words to “It’s the End of the World As We Know It (And I Feel Fine)”? I’m just throwing things at the wall here.

Data Driven Chicago (Second Edition)

Data Driven Chicago (Second Edition)

Data Driven Chicago

Ilhan Kolko (Echo)
Andrew Lisy and Laura Hamilton (Groupon)
Tyler Hanson (Reverb)
Mary Feigenbutz and Greg Reda (Sprout Social)
Laurie Skelly and Elizabeth Cleveland (Trunk Club)
Moderated by Alli Diedrick (Built In Chicago)
November 2, 2017

Showcasing some of the great data-driven and machine-learning talent here in Chicago. Brought to your by Groupon, hosted by Built In Chicago.

See more videos from Groupon and our friends.

Groupon is a massive data-driven experiment — this team helps run it

Groupon is a massive data-driven experiment — this team helps run it

29 August 2017

Groupon is a massive data-driven experiment — this team helps run it

Groupon has tweaked and tested every corner of its e-commerce platform to find out precisely what makes customers click. Its platform is one of the world’s most optimized online destinations, but Groupon is still running daily experiments to add new features that increase business — and get rid of features that don’t.

Comprised of both data scientists and engineers, the Optimize team has built a tech platform for running those experiments with scientific rigor. We spoke with three team members about their efforts to reshape how Groupon thinks about data.

Read the complete article at BuiltInChicago

How the Flux team at Groupon uses insights from the past to predict the future

How the Flux team at Groupon uses insights from the past to predict the future


22 July 2017

How the Flux team at Groupon uses insights from the past to predict the future

In case you were wondering, the Flux Team at Groupon is named after the 1985 classic, “Back to the Future,” because its members use insights from the past to predict the future. Fluent in both machine learning and big data, the team serves to translate for the company’s data scientists and engineers, who use vastly different coding languages and approaches. In so doing, Flux makes sure machine learning can be put into use very quickly, whereas in the past it could take months.

Recently, we spent time with the group to find out how they work across the approximately 2,000-person Chicago location (7,000 globally) to keep the “flux capacitor … fluxing.”

Read the complete article at BuiltInChicago

Data Driven Chicago

Data Driven Chicago

Data Driven Chicago

P. Edward Herman, Senior Data Scientist (Avant)
Saranga Komanduri, Tech Lead (Civis)
Laura Hamilton, Group Product Manager (Groupon)
Andrew Paley, Director of Product Design (Narrative Science)
Adam McElhinney, VP of Data Science (Uptake)
June 2, 2017

Chicago is a hotbed of data-driven and machine-learning work, but you’d be forgiven for not realizing it. In order to shine a bigger spotlight on this technology and the great Chicago companies using it, Avant, Civis Analytics, Groupon, Narrative Science and Uptake are partnering to host an after-work open house

See more tech videos from Groupon and our friends.

Ali on Data Science and Big Data

Ali on Data Science and Big Data

Today’s Women in Technology (WIT) blog entry is about Ali, a Data Scientist in Chicago who will be speaking at the Unstructured Data Science Pop-up event here at Groupon headquarters on June 10th. 

Name: Ali
Title: Data Scientist
Start date: July 2013

In a nutshell, what does your role entail? 

I am on the Data Science team, which works on analyzing our vast heaps of data and on developing models to optimize various aspects of the business. It’s a huge team which is split up into several sub-teams. On my specific sub–team we work on issues pertaining to sales and the Local business. This includes using historical data to determine ways to accelerate growth and increase engagement. We have also worked on modeling both merchants and markets in order to optimize the workflow of our sales force with a system called Quantum Lead.

How did you get involved with Unstructured

I first heard about Unstructured and the speaking opportunity through my manager. After looking up the history of the project and the people involved, I knew that I had to get involved myself!

What’s an interesting project or challenge that you’re working on? 

Right now I’m working on predicting customer values — given everything that we know about an individual customer, can we predict their purchasing habits for the next 90 days, 6 months, or even one year? If we can, then we can figure out when users are starting to disengage or when new users are likely to make their first purchase. This knowledge can help us tailor the way that we interact with each individual customer. It turns out that we can indeed do this, but it’s really hard.  This project has essentially all of the tech challenges that you hear about with data science, especially those associated with “big data.” We have a lot of users who interact with us in lots of ways, which translates into lots of data.

Thanks for reading the People Blog—a blog about people at Groupon. We’re hiring Data Scientists! No football skills required.