A collection.
A thousand
connections.
Watch Atlas turns 1,629 watch references into a visual way to explore the details that make a collection distinct.
Explore Watch Atlas
ARUNABHO KANTI SOM · TORONTO
From complexity
to clarity.
I build the bridge between data
and the people who need to use it.
DATA SCIENCE/AI ENGINEERING/ANALYTICS
A STUDY IN SIGNAL
a thousand possibilities↘
one clearer picture↖
Less telling.More showing.
01 / SPHERE · A STUDY IN FORMHOVER TO SCATTER ↗
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A practical mind.
A curious approach.
For teams making better decisions.
For people building what comes next.
09projects.
different questions.
5+years across data,
business & AI.
The best way to understand the work?
Experience it.
OPEN THE LAB Experience it.
01 / THE WORK, IN MOTION
Questions become
things you can use.
Move from the idea to the interface.
Then look under the surface.
A collection.
Find the signal.
See the trade-off.
Fraud detection is more than a score. The review explorer makes captured fraud, false alerts and investigation capacity visible together.
Explore fraud detection
Scattered signals.
Shared context.
An intelligence workspace connects company research, hiring patterns and automation. Explore the product through a clearly labelled sample.
Explore the intelligence workspace
WATCH ATLAS / COLLECTION INSIGHTS
ARCHIVAL COLLECTION · PUBLIC APP
02 / THE PROJECT COLLECTION
Different questions.
The same curiosity.
The thinking. The process. The output.
Every project has a story to explore.
Open a case study, or try the work yourself.
Preparing the project collection…
03 / CURIOSITY, ENCOURAGED
Go ahead.
Change something.
A different budget. A different player.
A different perspective.
Move a control. Watch the answer change.
HANDS ON / LIVE IN YOUR BROWSERYOUR CURIOSITY IS THE INPUT ↙
Preparing the interactive output…
↳ Real public apps, recorded benchmarks and labelled samples. Each experiment explains its source.
04 / THE PERSON BEHIND THE PROCESS
A practical mind.
A wider perspective.
EXPERIENCE / 2019 — NOWOPEN A CHAPTER ↙
2025 — PresentData Science ConsultantBeam Data · Toronto
Competitor monitoring, RAG pipelines, n8n automation, AI agents and predictive pricing models. Business dashboards connect inventory, sales and profitability with the decisions teams make.
Python / SQLAI & automationBusiness intelligence
2022 — 2025Data Analyst, Taxpayer ServicesCanada Revenue Agency · Toronto
SQL reporting, KPI dashboards, validation workflows and service trend analysis for a federal contact-centre network. Supported workload planning and program improvement with controlled access and audit traceability.
SQL reportingQuality & validationOperational analytics
2020 — 2022Data AnalystEpiq Global · Toronto
Python and SQL analysis of claims, transactions and seasonal patterns. Customer segmentation models and Tableau dashboards for financial KPIs, customer behaviour and sentiment.
Python / SQLTableauCustomer analytics
2019 — 2020Data Analyst, InsuranceGreenShield · St. John’s
Analysed 18,000+ member profiles in SQL and Excel. Explored claim patterns, premiums and risk to support underwriting, profitability and financial planning.
SQL / ExcelRisk analysisFinancial planning
A FOUNDATION IN SYSTEMS & RISK
MASc · Risk EngineeringMemorial University of Newfoundland
Data Science & Big DataWeCloudData Academy
BTech · Electronics EngineeringWest Bengal University of Technology
PythonSQLMachine learningLLMs & RAGLangChainAWS / AzurePower BITableaun8n
05 / STILL BUILDING
Work is a
living thing.
Showing reviewed source versions
From the repositories VIEW THE LATEST ↗
Public activity refreshes every 10 minutes while this page is open. Project outputs remain tied to their reviewed source version.
A GOOD QUESTION IS A GOOD START.
Let’s make
something clear.
Building a team? Solving a data problem?
I’d like to hear what you have in mind.