WELCOME
Devika Rajasekar
Data Engineer & Data Scientist · MSc, Leiden

“Why?” is my favorite data point.

I am excited working at the intersection of data engineering and data science, driven by an obsessive curiosity about how complex technical systems run and how human beings tick.

Drop a photo
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hello, I’m Devika
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data ♥ humans
SHAP · AutoML
psst, the stickers moveTRY DRAGGING ME
Meet the engineer

Hello,
I’m Devika!

I’m completing an MSc in Computer Science & Data Science at Leiden University, currently engineering ETL pipelines at Prysmian in the Netherlands. My CS degree ran alongside sociology, marketing and lean-startup, which is exactly why the human layer of a data problem has always been the part I find most interesting.

My goal is to build reliable data infrastructure that teams can trust, develop intelligent models that humans can understand, and design analytics that drive clear decisions. If you’re looking for someone who natively speaks both data architecture and human behavior, let’s talk.

  • Translating complexity into human-legible insight.
  • Context-switching across domains, cultures and stakeholders.
  • Boundary-spanning in engineering rooms and boardrooms alike.
  • Genuine curiosity about why people and systems behave as they do.

off the clock, I’m all about

movies & shows coffee ☕ cooking spicy food 🌶 cats, obviously
Portrait /
candid shot
Delft, NL
Where I’ve worked

Experience

2025AUG – NOW

HR Digital Data Science Intern

Prysmian · Delft, Netherlands
  • Engineered end-to-end ETL pipelines in Qlik Sense with modular load scripts and mapping tables, delivering trusted financial & operational KPIs to senior stakeholders.
  • Translated cross-functional reporting needs into reusable data models, KPI definitions and dashboard logic, a product-minded approach to data engineering.
  • Built automated workflows in Power Automate to streamline repetitive reporting and data-handling tasks across teams.
  • Running my MSc thesis on AutoML explainability: whether SHAP feature-importance stays consistent across the Rashomon set of near-optimal models, with AutoGluon & H2O experiments deployed on an HPC cluster.
Qlik SenseETLPower AutomateAutoMLSHAPHPC
2023MAY – JUL

Deep Learning & Image Processing Research Intern

CCPS, VIT Chennai · India
  • Built a custom U-Net variant (AdaptUNet) to detect colorectal polyps from 2,000+ medical images: 0.9104 Dice, 0.9880 balanced accuracy.
  • Ran cross-dataset generalisation and data-validation checks; published as first-author in Elsevier Heliyon (2024) ↗.
PyTorchU-NetMedical ImagingPublished
2023JUL – NOV

Data Analysis Intern

School of CSE, VIT Chennai · India
  • Designed a deep neural network in R for pulsar-star classification: 98% precision, 0.8749 Kappa on the HTRU2 dataset.
  • Led reproducibility & compliance checks to IEEE academic QA standards, underpinning a successful conference publication ↗.
RDeep LearningIEEE
2022AUG – DEC

Research Assistant

School of CSE, VIT Chennai · India
  • Analysed 20+ papers on mobile robots in crisis management; contributed to a published review on robotics in search-and-rescue, highlighted at ICoFT MADE 2022.
ResearchRoboticsLiterature Review before the age of commercial GenAI
whimsical illustrated cat covered in colourful bows
A pinboard of projects

Some of my work

data, with personality
My toolkit

Tools & skills

Languages

PythonRSQL

ML & Deep Learning

PyTorchTensorFlowScikit-LearnTransformersComputer VisionPySparkRL

Data Engineering

dbtApache KafkaAirflowDockerGitUiPath

Analysis & Viz

PandasNumPyMatplotlibSeabornPower BITableauQlik Sense

Cloud

AWS (S3 · EC2 · Lambda)Google Cloud

Ways of working

Agile / ScrumData ValidationRequirement GatheringStakeholder CommsAutomated Testing
Education & recognition

Résumé

MSc Computer Science: Data Science
Leiden University, Netherlands
SEP 2024 – AUG 2026 (expected)
Coursework: Data Mining · Social Network Analysis · Text Mining · Information Retrieval. Thesis: interpretable AutoML pipelines for transparent, auditable model selection.
BTech Computer Science Engineering: AI & Robotics
Vellore Institute of Technology (VIT), India
SEP 2020 – JUN 2024 · CGPA 8.5 / 10
Machine Learning · Linear Algebra · Deep Learning · Data Analysis, taken alongside sociology, marketing & lean-startup.

Languages

EnglishFLUENT
HindiNATIVE
TamilNATIVE
DutchA2 · BASIC

Leadership & engagement

General Secretary · CodeChef VIT Chennai
JAN – JUL 2023

Drove recruitment to 500+ applicants; ran coding events, workshops and seminars to grow a vibrant coding culture.

Active Member · IEEE Women in Engineering, VIT
MAY – DEC 2021

Advocated for women in STEM and organised professional-development events across diverse stakeholder groups.

Licenses & certifications

View all on LinkedIn ↗
DataCampData Engineer (Career Track)Feb 2026
DataCampIntroduction to dbtFeb 2026
DataCampIntroduction to Apache KafkaFeb 2026
NPTELE-BusinessOct 2023
IEEEPaper Presentation · NMITCON-2023Sep 2023
IBMData Engineering Basics for EveryoneAug 2023
AWSIntroduction to Machine Learning on AWSAug 2023
IBMSQL for Data ScienceAug 2023
Google CloudBig Data & Machine Learning FundamentalsAug 2023
IBMApplied Deep Learning Capstone ProjectAug 2023
IBMPython for Data Science ProjectAug 2023
IBMArtificial Intelligence AnalystJul 2023
NIT PuducherryPaper Presentation · iCoFt MADE 2022Dec 2022
KaggleIntermediate Machine LearningJan 2022
KaggleIntro to Machine LearningJan 2022
CourseraOperating Systems and You: Becoming a Power UserNov 2021