Anushri More | AI & Data Science Portfolio

About Me

I'm a data scientist with a real enthusiasm for optimization, currently working as Vice President in the Data Science and Model Management team at Citi Bank. My work centers on model validation, performance evaluation, and risk assessment, making sure the models behind critical financial decisions are robust, explainable, and hold up to regulatory and business scrutiny.

I work daily with large, complex datasets, using Python, SQL, and statistical techniques to translate model behavior into insights stakeholders can act on with confidence.

What I'm most drawn to is the intersection of predictive and prescriptive modeling — not just forecasting what's likely to happen, but using that insight to guide the best course of action. That intersection, applied to financial analytics, is where I'd like to keep growing.

Take a look around — you'll find some of my past projects, along with what I'm currently exploring.

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Expertise: Statistical Modeling, ML, Risk Analytics, Optimization

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Focus: Credit Risk, AML, Fraud Detection, Optimisation modeling

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Tools: Python, SQL, Tableau, Excel

Professional Experience

Vice President – Data Science & Model Management

Jul 2026 - Present · 1 mo

Citi Bank | Tampa, Florida

Apply statistical modeling and machine learning techniques to evaluate and enhance financial risk models across AML, fraud, and credit risk domains
Design and optimize thresholding strategies and scoring frameworks for AML monitoring models to improve detection performance and balance precision–recall trade-offs
Conduct feature analysis, segmentation studies, and model stability assessments (ATL/BTL, drift monitoring) to evaluate predictive power and robustness
Build Python- and SQL-based analytical pipelines for model evaluation, performance monitoring, and deep-dive investigations
Translate complex model outputs into actionable insights for stakeholders, enabling data-driven decision-making in model risk governance

Assistant Vice President, Model Validation Sr Analyst

Apr 2023 - Jul 2026 · 3 yrs 3 mos

Citi Bank | United States

Translated regulatory and governance requirements into statistical formulations and measurable model objectives
Applied statistical modeling and machine learning to evaluate and improve financial risk models across credit risk, AML, and fraud
Performed threshold tuning for AML scenarios, optimizing trade-offs between risk capture, alert volumes, and false positives
Analyzed feature behavior, model performance, and stability metrics to assess predictive power and robustness
Developed Python- and SQL-based analytics to implement methodologies and support data-driven decisions
Communicated complex quantitative results to technical and non-technical stakeholders within regulated governance frameworks

Associate Data Scientist

Jul 2019 - Jul 2021 · 2 yrs

Aera Technology | Pune/Pimpri-Chinchwad Area

Contributed to Trade Promotion Optimization (TPO) projects for Fortune 500 clients, applying Mixed Integer Programming (MIP) with Gurobi to optimize promotion allocation and scheduling
Conducted predictive modeling and scenario analysis (demand forecasting, uplift modeling, and simulation) to inform promotional and inventory decisions
Prepared and analyzed large-scale client datasets, performing data preprocessing, feature analysis, and validation to feed optimization and predictive workflows
Translated business requirements into quantitative analyses, generating actionable insights that informed trade promotion strategies and ROI improvements
Collaborated across product lifecycle phases (analysis, testing, version control, deployment, documentation, and support) in Agile teams, communicating results to technical and business stakeholders

Selected Projects

Credit Risk & Fraud Detection

Modeling and validation work focused on identifying fraudulent behavior and improving risk signals in financial datasets.

Python Risk Modeling Validation 🔗 View Code

Customer Churn Analysis: Segmentation study on telecom customer behavior and retention patterns

Customer Churn / Segmentation Analysis

Interactive exploration of customer behavior patterns with segmentation and feature analysis to support decision-making.

SQL Segmentation 🔗 View Code Analytics

Vendor / Operations Analytics

Operational analysis built to evaluate patterns, compare outcomes, and support process optimization.

Operations Optimization 🔗 View Code Reporting

Core Competencies

Statistical & ML Techniques

Statistical Modeling Machine Learning Feature Analysis Model Validation Segmentation Studies Drift Monitoring

Domain Expertise

Credit Risk AML/Fraud Detection Risk Analytics Model Governance Threshold Optimization Performance Monitoring

Tools & Technologies

Python SQL Tableau Excel Data Analytics Applied Statistics

Articles & Posts

Mathematical Modelling for Simulating Your Business Ideas

Jan 19, 2023

An introductory article exploring mathematical programming and optimization for business applications, including prescriptive vs. predictive modeling and practical implementations using Gurobi.

Mathematical Modeling Optimization Linear Programming Gurobi