Honestly speaking, these 'About me' sections are so hard to write; there's either so much to say
that you don't know where to start, or there is nothing to say at all. But I'll give it a go.
I'm a data-enabled software engineering professional with focus on cross-functional enterprise
applications and data acccess platforms. Architecting and building highly available, performant
and scalable distributed
systems. Industry experience with writing RESTful APIs, backend design, efficient data access layers, big data,
modeling/warehousing, and building ETL pipeline
solutions.
Having had the fortune of working on both software enineering and big data architecture,
I bring in a diverse set of skills and an end-to-end expertise in clean and efficient coding,
practical knowledge of design patterns(for APIs as well as database solutions) and test-driven
development.
I'm also a chronic automator and web scraper, which blends in well with my innate
DRY(Don't-Repeat-Yourself) personality type. Besides my work, I also work on creating pro-bono
infomercial products aimed at teaching software development to the less priviledged.
Quite recently, I joined Thoughtworks Inc. as a Sr. Data Engineer(Remote). Super stoked to start this new journey!!
In the recent past, I was working with
with Deloitte in their Analytics and Technology practice. The sheer exposure to range of technology at my
workplace has made me comfortable working fullstack and back - right from digging into css, to
writing APIs, to creating batch/streaming backend solutions.
I write software backends that power
performant data analytics platforms for leading banks across the globe. I also have previous experience working
with top US Pharma giants, mainly on optimizing their data
refineries & adjusting Incentive Compensation programmes. Banking and Pharma - needless to say, code that I commit has to respect the country specific boundaries, regulations and policies. But
this complexity drives me to create simple yet maintainable solutions.
When I'm not fighting fire at home, I enjoy automating mundane tasks on the web (admittedly a
life-hacker). I keep keen interest in shortform video editing - a skill I picked up while
creating inhouse tutorial videos for firms I work(ed) at.Other interests include pondering about
life, sometimes long enough to drop
nuggets of wisdom - I'm my personal 'quote philosopher'. Besides that, I also have a penchant
for humor, memes & staying woke.
Worked in large scale data refining and incentive compensation programs for sales representatives. Clients included Top 5 Pharma companies in USA and Europe.
Development of confidential data and reporting platform on graduation completion and retention rates based on demographics - age, race & gender. End-users/Stakeholders incuded Board of Directors at Texas A&M University.
Clients include top 3 banks in USA. Worked mainly in Transaction Monitoring and KYC(Know Your Customer) analysis. Dealt with Data Engineering, Software Architecture, Python automation, Machine Learning applications in FinTech as well as developing scalable backend for a data curation SAAS tool.
Key accomplishments:
Key core courses completed:
One fine day during the last Christmas vacation, my broken earphone led me to investigate a notorious bot culture on Amazon.
Linkedin article Github link Nbviewer linkWrote a couple of blogposts to simplify understanding and highlight importance of OOPs at the backdrop of test driven development
Read part 1 Read part 2Using built in Unix tools to download all the artwork hosted by the newly opened Louvre website
Read Blog YT screencastThis was the week when Microsoft overtaking Apple was the breaking news. I tried to source external data & plot this decade long game of catch-up.
Github link Nbviewer linkA genuine request from my cousin to list all 'h1b sponsoring' companies for Data Science/ML positions. My very first UNPAID freelancing gig. Thanks a lot, cousin!
Github link Nbviewer linkWeekend long hackathon conducted by Analytics Vidhya to predict loan defaults. Surprisingly only adding a couple of simple features worked superbly!
Github link Nbviewer linkJust a fun scraping project to get press briefings data from official state.gov website. Then plotting annual heatmaps to compare Obama & Trumps first 2 years in White house.
Github link Nbviewer linkThis is still work in progress. Trying to classify whether a tweet is humorous or not. My capstone project for Machine Learning Guild.
Github link Nbviewer linkCreated skeleton for now. Add more info here.
Github link