Hi! I'm Akshat!

Data Engineer Intern May 2019 - August 2019

At Fidelity, I had the opportunity to work with the PI Data Engineering team. My intern project was to rehydrate the application clusters utilized by my team. I ran Ansible playbooks and utilized Linux commands to continuously test this rehydration process.
As my knowledge of Ansible playbooks grew, I created one, coding in YAML, to download and install the latest version of Docker on my team's Ubuntu and RHEL machines. Additionally, I patched applications and fixed inconsistencies in the formatting of playbooks.
It was really cool seeing how data engineers operate in agile sprints. My team was super supportive and knowledgeable, and I enjoyed working with them over the summer!

Marketing Intern May 2018 - August 2018

During this fully remote internship, I interacted with various marketing automation tools, such as HubSpot and Pardot by Salesforce, and other professional applications, like Slack, Buffer, Harvest, and Asana.
I assisted in writing a Cybercrime & SOC Blog for Function1; this blog reached an estimated 500 people.
I was also in charge of creating Function1’s Splunk competitor email suppression list.
Going into my first-ever internship, I was super nervous, but the people I worked with were amazing and I learned so much!

Data Scientist March 2022 - June 2023

Working with KPMG's non-profit sector, Data Citizens with Purpose, I investigated trends using data provided by the client to come up with recommendations about the client's outreach program which spans 500 zip codes.
I analyzed the data in Python using NumPy and Pandas, among other libraries.
After gathering my findings, I created visualizations using Seaborn and presented my recommendations to the client.
It was a blast getting to work with Python and collaborate with teammates who were very knowledgeable in data science! I enjoyed my experience and absolutely love the impact that our data analyses had directly on the client's operations.

Titanic Project to Predict Outcome of a Passenger February 2022 - March 2022

My first personal project involving Python data analysis was about predicting if a given passenger would live or die, given the passenger's characteristics.
I utilized NumPy and Pandas to perform data wrangling and Scikit-Learn to build machine learning models to accurately predict the outcome of the passengers.
I was interested in data analysis going into this project and after completing it, I am even more passionate about working with data!

Free Resume Review Website August 2020 - May 2021

I have to be honest – of all the projects I have done, this was my favorite one to work on. I identified a skill I prided myself on, and I used that knowledge to provide free resume reviews with detailed feedback to students looking for internships and full-time jobs.
I researched a lot about how a good resume should look like during my freshman year of college when I was applying for internships. My research, combined with grammar rules that were drilled in my head through constant SAT prep (thanks Mom and Dad!), progressed my understanding of resumes to the point where my friends would ask me to take a look at theirs informally.
Fast forward to my senior year of college when I had some free time, and I started thinking to myself, why don't I do this for others? I was already looking for more traditional ways to generate Ut Prosim, Virginia Tech's motto for giving back to the community, and this would be an extremely unique way to do so! I would be combining a skill I have been sharpening for years with my passion for helping others. So, I launched a free resume review website, where students could submit their resumes and I would provide feedback via email.
I am proud to say I was able to help out 35+ students!

Carol Lee Donuts Website October 2020 - December 2020

This school project spanned three months and introduced me to many different web development tools.
My team and I were tasked with creating a website for a business of our choice, so we chose a local family-run donut shop located in Blacksburg, Virginia.
While the current website does a great job of displaying all the available products Carol Lee Donuts has to offer, it does not allow a customer to place an order online. That functionality was important in my eyes, so I spent the semester with my team building a website from scratch which allowed customers the ability to place, edit, and delete online orders. The data for orders and products was maintained in a database, which we also built from scratch. I connected this database to the website using SQL.
In addition to SQL, I utilized HTML, CSS, JavaScript, jQuery, D3.js, Bootstrap, Ajax, PHP, and PHP Simplex in creating the website.
This project taught me so many different web development coding languages and how to integrate these languages with SQL databases. Now, whenever I look at a website, I have more of an understanding of how its functionalities work.