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Aditi Rajmane

@aditirajmane

Senior Data Analyst at Scotiabank who automated regulatory analysis across 4M+ records with Python and Power BI.

At Scotiabank, I built a Python and NLTK text-similarity pipeline that matched more than 4 million legacy and target records with 90% accuracy, compressing regulatory migration timelines by 75%. I also developed AI-enabled analysis agents that accelerated first-pass applicability decisions.

I created Power BI tools and automated workflows for regulatory impact analysis, CRCA reconciliation, and governance across 63 business units. These tools cut impact analysis to under three minutes and helped link regulatory obligations to controls.

Earlier, I analyzed customer, campaign, and survey data at YouGov, and built SQL, Tableau, and Python reporting workflows at Kantar. I also developed an independent Python market-risk framework to quantify portfolio exposure under Basel III guidelines.

Experience

Work history, roles, and key accomplishments

Current

Senior Analyst, Data Analytics and Automation

Current

Scotiabank

Sep 2024 - Present (2 years 1 month)

Engineered Python/NLTK text-similarity pipeline to compress regulatory migration timelines by 75% and accelerated first-pass applicability decisions by 87% with AI-enabled analysis agents. Developed Power BI scenario tools and automated reconciliation processes to significantly reduce manual workflows.

Python NLTK Power BI Power Query DAX SQL ETL Data Governance Regulatory Compliance Risk Analytics

Compliance Risk and Control Assessment Analyst

Scotiabank

Jan 2024 - Jun 2024 (5 months)

Performed QA/QC on risk ratings across 800+ CRCA assessments at 95% accuracy and reduced stakeholder follow-up queries by 40% through ETL-driven Power BI dashboards. Analyzed year-over-year risk movements across 51 business units to identify material risk drivers.

Power BI ETL SQL Risk Assessment Data Quality Excel

Data Analyst

YouGov

Sep 2021 - Jul 2022 (10 months)

Lifted marketing campaign ROI by 25% using predictive regression and classification models in Python, and drove a 20% increase in client recommendation adoption by mining 500K+ survey responses. Hardened Python data-validation pipelines to eliminate analysis rework.

Python SQL predictive modeling regression Classification Data Validation Pandas scikit learn

Data Analyst

Kantar

Nov 2019 - Aug 2021 (1 year 9 months)

Boosted reporting effectiveness by 18% by uncovering commercial drivers and operational anomalies across 50+ client datasets with SQL and Tableau. Cut reporting turnaround by 20% through parameterized SQL queries, Tableau dashboards, and VBA macros, and unified disparate source data with 15+ Python ETL workflows.

SQL Tableau VBA Python ETL Data Quality Excel