The coding bug bit me some years ago and damn, I was transformed. I didn’t become Spider-Man but then spiders aren’t bugs. I started coding which much enthusiasm back in college. Then, I moved towards all things data.
For a quick summary of everything, you can visit my LinkedIn. Or, find the timeline and long-form story below.
TIMELINE
Jan 2024 – Present
Appsilon
R/Shiny Developer (L4) | Full-Time
– Elkem
– Created a reusable statistical process control (SPC) package and an interactive companion app
– Built a tool to monitor high-fidelity, per-second data
– Designed ETL pipelines using {maestro} in R
– Created and maintained shared packages in the elkemVerse
– Published a public case study detailing the architecture and impact
– Led Git workshops and standardized CI/CD using Azure Pipelines
– Automated AzureDevOps tasks using its API and a custom R package
– LogAnalyzer (Open Source)
– Released a Posit Connect log debugger with semantic coloring and optional AI via {ellmer}
– Earned Honorable Mention at the Posit Shiny Contest 2024
– Community & Internal
– Spoke at ShinyConf25, ShinyConf24, EARL24, useR!24, and R/Pharma24
– Served as Tech Talk Ambassador, organizing internal talks and knowledge-sharing sessions
June 2022 – December 2023
Appsilon
R/Shiny Developer (L3) | Full-Time
– Elkem
– Migrated legacy apps to a modular Rhino architecture
– Refactored large monolithic Shiny applications for maintainability and scalability
– Built CI/CD tooling using Azure DevOps
– Created and maintained internal packages in the elkemVerse ecosystem
– Developed the initial LogAnalyzer prototype for parsing and highlighting Posit Connect logs
– ET Ventures
– Refactored a 2500+ LOC module using shinyModules
– Enhanced reactable tables with editable rows, YAML-based configs, and tooltips
– Implemented report generation and automated email workflows
– Future Forests
– Rebuilt a multilingual, map-based forest dashboard using leaflet, shiny.i18n, and echarts4r
– Led end-to-end development and onboarding of stakeholders
– Presented the project at ShinyConf23
– Community Engagement
– Moderated panels at ShinyConf23
– Contributed to tech marketing and open-source initiatives
June 2021 – October 2021
Indian School of Business, Hyderabad
Data Analyst cum TA | Full-Time
– Developed R Shiny Apps for econometrics analyses like Conjoint, MaxDiff, and Forecasting
– Facilitated courses on Deep Learning, Big Data and Data Collection
– Conducted tutorials on building an end-to-end Data Streaming pipelines on AWS
July 2019 – July 2020
Townscript (BookMyShow)
Data Modelling Engineer | Full-Time
– Aided Data-Driven Design (Increased KYC success rate to over 90%)
– Day-to-day Analysis + Visualisation
– Built a Spam Classifier, integrated Elastic Search
– Built a Topic Architecture for the B2C Platform (Natural Language Processing)
– Managed Product & Tech Blogs
December 2019 – January 2021
Udacity
Technical Mentor | Part-Time
– Reviewer for the Machine Learning – Introduction and Machine Learning Engineer Nanodegrees
– Technical Mentor for the Knowledge forums for multiple projects for both of them
June 2019 – April 2020
Udacity
Technical 1:1 Mentor | Part-Time
– Mentor for the Machine Learning Engineer and Machine Learning Introduction Nanodegrees
– Provided 1-on-1 assistance for learning via chat and calls, troubleshooting and overall guidance
– Maintained an overall average rating of 4.73 out of 5.00 throughout this endeavour
January 2019 – June 2020
Townscript (BookMyShow)
Data Engineering Intern | Full-Time
– Worked on different day-to-day analysis and data requirements
– Built an approach for Townscript’s data lake and flow
– Used Boto3 to sync data to S3 (reducing transfer costs by 96%)
– Worked on building product metrics and trackable KPIs
– Visualised the KPIs and metrics on dashboards by using multiple services in conjunction
The Story So Far
During my Bachelor’s, I was exposed to several programming languages. Eventually, however, I chose Python as my weapon of choice. Although, I did get a hands-on experience with Java during the Android Development nanodegree by Udacity. Eventually, I pursued a Postgraduate Diploma in Data Science which exposed me to R scripting. I also learned some other tools of the trade such as SQL, Microsoft Excel and Tableau.
I would be lying if I said it isn’t fun. I owe the geek in me that much, at least. I find data to be the perfect coding island for me. It has everything I like doing and more.
Townscript (BookMyShow)
My professional career started with a Data Engineering Intern at Townscript, a BookMyShow startup, where I started working on data flows, pipelines, and different analysis projects. Then, I moved to a full-time role as a Data Modelling Engineer at the same place where my job responsibilities involved the entire data process. I worked on everything from how the data starts to flow to how it’s analysed to how it helps the product.
At Townscript,
- I worked on day-to-day analysis tasks which involved making complex queries, making reports and visualisations.
- I built Townscript’s Data Lake using the AWS stack. For this, I wrote a Boto3 project to move data from multiple AWS services (Kinesis, RDS et al.) to AWS S3, reducing transfer costs by 96%.
- I was also an individual contributor for Townscript’s Dashboarding project where we built multiple dashboards visualising countless KPIs at both B2C and B2B levels.
- With the design & product team, I helped aid the data-driven design approach to improve B2B KYC success rate to over 90%.
- I also implemented a multi-level spam classifer, employing both domain knowledge as well as several machine learning algorithms. This project also involved building a classifier after rigourous feature engineering.
- With a colleague, I integrated Elastic Search at Townscript while also aiding the overall search flow and experience with the design team.
- We also built a Topic Architecture employing various methods such as LDA, user studies as well as textual data analysis for the B2C platform.
- I managed the product and tech blogs at Townscript, and was also responsible for improving the coffee situation at the office by collaborating and getting a proper machine leased by Coffee Day Beverages.
Udacity (Mentorship)
I also worked part-time as Udacity’s 1-1 Mentor for the Machine Learning and Machine Learning Engineer Nanodegrees handling cohorts of students and helping solve their queries as well as guiding them to a roadmap for their future studies and path. Throughout this endeavour, I managed to get a rating of 4.73 on 5 from the students. Udacity sunsetted the mentorship program in March 2020. I continued to serve as a Reviewer for projects for the same nanodegree actively till January 2021.
Indian School of Business, Hyderabad
After a gap of almost a year during the year of the COVID-19 pandemic, I started working as Data Analyst cum TA at the Indian School of Business, Hyderabad.
At Indian School of Business,
- While my stint at ISB, Hyderabad was short, I worked with Prof. Manish Gangwar to develop R Shiny Apps for various econometrics analyses like Conjoint Analysis, MaxDiff Analysis, Time Series Forecasting (using Facebook’s Prophet).
- I also helped facilitate courses on Deep Learning, Big Data Analytics, and Data Collection as a Teacher’s Assistant.
- I also conducted tutorials on building an end-to-end Data Streaming applications on Amazon AWS with Prof. Aashish Chandra.
Appsilon
- I’m currently working at Appsilon, building R/Shiny applications for Fortune 500 companies and solving problems for them on a day-to-day basis.