SKILLS / HIGHLIGHTS

  • SQL, Python, Julia, MATLAB, Bash
  • DuckDB, Polars, PySpark
  • Data analysis and visualization, Software design and testing
  • Azure Data Factory, Azure DevOps, Databricks, Power BI
  • CI/CD, GitHub Actions, Artifactory, TIOBE TiCS, Docker
  • Applied Physics, Metrology, Algorithms, Modelling
  • Dashboards, REST APIs, Blockchain analytics

EXPERIENCE

Senior Data Scientist at AkzoNobel | 04/2024 - Present
  • Responsible for the development of full-stack analytics solutions, including scalable data pipelines using Azure Data Factory (ADF), Azure Databricks (PySpark), and delivering crucial business-ready insights via Power BI.
  • Strong focus on data architecture, monitoring, performance optimization, and maintaining reliable production workflows which currently support more than 300 users within the company.
  • Built and maintained conversational analytics solutions using Databricks Genie, enabling business users to interact with trusted data products through natural language and accelerate self-service insight discovery.
Metrology Sub-Function Architect at ASML | 01/2023 – 03/2024
  • Designed framework for internal software migration to GitHub, set up CI/CD using GitHub Actions and Artifactory, code quality monitoring using TIOBE TiCS TQI.
  • Responsible for group’s (~ 50 engineers) MATLAB architecture roadmap, wrote new design documents for essential software components, supervised timely reviews, and oversaw both technical and non-technical stakeholder management.
Senior Metrology Design Engineer at ASML | 01/2022 – 01/2023
  • Performed simulations and generated valuable insights using advanced data analysis techniques to highlight strength of lithography software packages to new customers, leading to business growth and generating additional revenue for ASML.
  • Involved in coaching junior engineers, supervised team participation in multiple hackathons, part of the organizing committee for ‘DUV Innovation Marketplace’ on a department level.
  • Developed and maintained various internal Julia data analysis and visualization packages for the ASML community
Metrology Design Engineer at ASML | 01/2019 – 01/2022
  • Coordinated several projects leading to key software deliveries for ASML’s flagship DUV lithography systems, thus contributing to 2022 net sales of €21.2 billion, gross margin of 50.5%, and net income of €5.6 billion.
  • Improved cross-functional competence by building knowledge transfer documents and participating in design reviews
  • Independently supported various critical escalations (machine issues) via efficient communication channels with local teams and customers in multiple time zones (Singapore, Taiwan, Japan and France)
Eindhoven University of Technology | 06/2014 - 09/2018
  • Performed state-of-the-art computational modeling combined with in-house optical experiments to study phase separation in organic thin films during spin-coating
  • Established and coordinated external collaboration with research groups in Germany, Russia and United States resulting in multiple publications.
  • Demonstrated excellent communication skills through talks and posters at various international conferences in Europe (ICSM 2014, Turku; HOPV 2018, Benidorm) and Asia (ICSM 2016, Guangzhou)
Shell Technology Centre Bangalore | 05/2013 - 02/2014
  • Master’s Thesis: Used Density Functional Theory to study methanation on a cobalt catalyst during Fischer-Tropsch synthesis
  • Worked in a multidisciplinary and cross-functional team of material scientists, computational physicists and geologists.
  • Added significant value to computational R&D at Shell, received the highest grade for master’s thesis based on this work.
Leibniz Institute for Solid State and Materials Research, Dresden, Germany | 05/2012 - 07/2012
  • Received a DAAD scholarship to travel to Germany, and perform cutting-edge experimental research in a world-class laboratory.
  • Learned a novel spectroscopy technique involving high-frequency, high-magnetic-field electron spin resonance in a short period of two months

EDUCATION

Ph.D. | 09/2018 | Molecular Materials and Nanosystems | Technische Universiteit Eindhoven
BS-MS in Physics | 06/2014 | IISER Pune, India

FELLOWSHIPS

  • INSPIRE - Dept. of Science and Technology, Government of India | 2009-2014
  • DAAD - Deutscher Akademischer Austauschdienst | 2012

SAMPLE DATA ANALYSIS/VISUALIZATION PROJECTS

Analyzing Nextcloud Server Logs using DuckDB blog code
  • Authored a technical article demonstrating how to repair, ingest and analyze large Nextcloud JSON server logs using DuckDB, SQL, Python and Jupyter.
  • Developed queries to detect failed login attempts and trusted-domain errors, profile client devices and user agents, and identify potentially suspicious access patterns.
  • Enriched server logs with IP geolocation and ISP datasets using range-based SQL joins, completing the end-to-end analysis in approximately nine seconds.
Analysis of Music Streaming Data from Spotify blog code
  • Contributed to the development of open-source Spotify.jl, which is a Julia wrapper for the Spotify API.
  • Analyzed Spotify usage data, extracted audio features, visualized their distribution and correlation.
  • Documented results in an easy-to-use, interactive and reproducible Pluto notebook. Article published in Towards Data Science – a medium publication with over 600,000 followers
Visualizing Developer Activity on GitHub blog code
  • Using GitHub’s API, extracted and compared key activity metrics for a number of open-source packages within the Julia ecosystem.
  • Article published in Towards Data Science – a medium publication with over 600,000 followers.
Analyzing Health and Fitness Data blog code
  • Authored a technical article demonstrating an end-to-end health and fitness analytics workflow using Julia, Pluto.jl and raw data exported from Samsung Health.
  • Built a reproducible data-processing pipeline using CSV.jl, DataFrames.jl and Query.jl to clean, transform and interactively filter step, distance, active-time, heart-rate and elevation data.
  • Developed interactive VegaLite.jl visualisations to analyse activity trends, cumulative distance, weekday-versus-weekend behaviour, heart-rate distributions and relationships between steps, calories and active time.
Blockchain Analytics using Julia blog code
  • Wrote a technical article demonstrating how to parse and analyse the complete Bitcoin blockchain using Julia, BTCParser.jl and Pluto.jl notebooks.
  • Developed a data-processing workflow to extract block-level metrics including transaction counts, transferred value, mining difficulty, block creation times and miner rewards.
  • Created interactive visualisations to analyse historical Bitcoin network activity, average block times, transaction-fee trends and protocol halving events.
How to Automate Crypto Technical Analysis with Python blog code
  • Published a technical tutorial on automating cryptocurrency technical analysis using Python, Pandas, Plotly and real-time market data from the CoinGecko API.
  • Built a reusable workflow to retrieve and transform historical OHLC price data, securely manage API access and generate interactive candlestick charts across multiple cryptocurrency and fiat pairs.
  • Implemented and visualised key indicators—including SMA, RSI, Bollinger Bands and MACD—along with programmatic detection of bullish-engulfing candlestick patterns.
Predicting Hard Drive Failure Rates from Backblaze’s 235,000 Disk Data blog code
  • Performed cleaning, accumulation, analysis and visualization of S.M.A.R.T monitoring data of ~ 235,000 disk drives provided by Backblaze.
  • Extracted key insights into correlation between certain S.M.A.R.T parameters and failed drives
  • Article published in Geek Culture – a medium publication with ~ 30,000 followers
Predicting Gas Consumption using Machine Learning blog code
  • Set up an HTTP server for accessing thermostat data using Docker
  • Built a simple linear regression model to predict home gas usage based on outside temperature
Interactive Dashboard to Track Decentralized Asset Volume and Prices blog code
  • Developed an interactive browser-based dashboard to visualize cryptocurrency asset prices, volume and activity (data from multiple sources) on major exchanges around the world.
  • Implemented analysis and visualization of various technical indicators such as cumulative and daily returns, MACD, linear regression, Bollinger bands, etc.
  • Package has been registered in the Julia General registry (available to everyone around the world), and is maintained with full CI/CD using GitHub Actions and Docker.
Create a Crypto Portfolio Dashboard (Python Guide) blog code
  • Published a practical guide to building a cryptocurrency portfolio dashboard using Python, Observable Framework and historical market data from the CoinGecko API.
  • Developed a reusable data pipeline to calculate portfolio values, asset-level contributions, relative returns, seven- and thirty-day performance, and top-performing holdings.
  • Created interactive charts and date-based comparisons, with scheduled GitHub Actions workflows securely refreshing and deploying the dashboard to GitHub Pages.
CoinbaseProExchange.jl - A Julia wrapper for the Coinbase Pro API code
  • Built from scratch a new Julia package that provides REST API access to both public/private endpoints of Coinbase Pro.
  • Data is securely fetched, cleaned and transformed into usable types such as a DataFrame, which allows for easy filtering, analysis and visualization.
  • Full CI using GitHub Actions and automatic documentation update using Documenter.jl
BitcoinRPC.jl - A Julia interface to Bitcoin’s JSON-RPC API blog code
  • Developed from scratch a new Julia package which interfaces with Bitcoin’s JSON-RPC API accessible via a locally running node.
  • Implemented making requests in batch mode for faster performance while doing on-chain analytics
  • Implemented a caching mechanism to drastically speed-up repeated calls to the same function
  • Added visualization support for key blockchain metrics, with faster plotting right within the Julia REPL.