Data science · AI engineering · Analytics
Arunabho
Kanti Som.
Data and AI professional with 5+ years across analytics, machine learning, and AI engineering. I build predictive models, decision-ready dashboards, and AI workflows, connecting data collection and evaluation to tools people can understand and use.
Professional experience
2019 — PresentData Science Consultant
Beam Data · Toronto, Canada
2025 — Present
- Built competitor-monitoring workflows with n8n, Python scraping, and PostgreSQL; connected Chroma and FAISS retrieval with scheduled LLM summaries of pricing, launches, and company signals.
- Delivered Power BI dashboards for an Amazon aggregator covering 200+ brands, tracking inventory, listing performance, MAP compliance, sales velocity, and SKU profitability.
- Engineered vehicle valuation models with Python, scikit-learn, and TensorFlow, using scraped historical auction records to support inventory pricing and sale forecasting.
- Built luxury watch pricing models and Tableau dashboards, processing reference, marketplace, and auction data on Azure.
- Developed research and social media workflow agents with OpenAI and Anthropic APIs and LangChain.
Data Analyst, Taxpayer Services
Canada Revenue Agency · Toronto, Canada
2022 — 2025
- Delivered SQL reports, KPI dashboards, and data-validation workflows for a federal contact-centre network.
- Applied exploratory and trend analysis to taxpayer, benefits, and service-delivery data to support workload planning and program improvement.
- Worked with sensitive taxpayer data using need-to-know access controls and audit traceability in reporting.
Data Analyst
Epiq Global · Toronto, Canada
2020 — 2022
- Analyzed claims, transactions, and seasonal patterns with Python and SQL; built clustering-based customer segmentation.
- Created Tableau dashboards for financial KPIs, customer behaviour, churn, and sentiment to support stakeholder decisions.
Data Analyst, Insurance
GreenShield · St. John's, Canada
2019 — 2020
- Managed 18,000+ member profiles in SQL and Excel; analyzed claims, premiums, and risk to support underwriting and policy decisions.
- Conducted profitability analysis and reserve estimations using claim frequency and severity for financial planning.
Selected work
Explore the portfolio ↗Documented benchmark studies and interactive products. Results below describe held-out historical datasets, with methods and limitations available in the source.
Credit Card Fraud Detection
Source ↗Chronological evaluation with independent calibration and frozen review policies. The primary policy identified 55 of 74 fraud labels with six false flags in 56,746 test transactions.
Python · Calibrated machine learning · Rare-event evaluationSocial Sentiment Analysis
Source ↗Three-class TF-IDF benchmark with human-labelled TweetEval data, baseline comparison, and error analysis. Validation-selected model: 0.5587 macro F1 across 12,284 official test posts.
Python · NLP · Model comparison · Error analysisClick Propensity Ranking
Source ↗Group-isolated evaluation of sampled ad contexts. The top 10% captured 19.3% of test click labels, a 1.93× enrichment over test prevalence; the result does not estimate population CTR.
Python · Logistic regression · Ranking · Leakage controlsInteractive Products
Source ↗Watch Atlas explores 1,629 archival watch references. Country Memory Map brings country, capital, and flag learning into an interactive geography arcade.
JavaScript · Data storytelling · Responsive interfacesTechnical practice
Across the data workflow- Analytics & machine learning
- Python, SQL, Pandas, NumPy, scikit-learn, TensorFlow, PySpark, statistical analysis, customer segmentation, model evaluation and calibration.
- AI & data systems
- LLMs, LangChain, RAG, Chroma, FAISS, n8n, PostgreSQL, MySQL, web scraping, AWS, Azure.
- Visualization & communication
- Power BI, Tableau, QuickSight, Plotly, Matplotlib, Seaborn, Excel, data storytelling and stakeholder reporting.
Education
2017 — 2020
Master of Applied Science
Safety, Reliability and Risk Engineering
Memorial University of Newfoundland
2012 — 2016
Bachelor of Technology
Electronics and Communications Engineering
West Bengal University of Technology
2023
Diploma in Data Science and Big Data
WeCloudData Academy
Credentials
- Lean Six Sigma Green Belt
- ACCA FA1 Financial Transactions
- Project Management Fundamentals LinkedIn
Clear questions.
Careful methods.
Useful outcomes.