Aarya Brahmane
Data @ Navy Federal Credit Union | ex-Data Analyst at Caterpillar Inc. | Texas A&M University
- Role
- Business Intelligence Analyst i at Navy Federal Credit Union
- Location
- Arlington, VA, US
- LinkedIn followers
- 500 followers
About Aarya Brahmane
I’m a Data Science & Analytics professional with a Master’s in Management Information Systems from Texas A&M University, specialising in Business Intelligence and Analytics.With 3 years of hands-on experience delivering end-to-end predictive analytics and business intelligence solutions across manufacturing and financial services sectors—including roles at Caterpillar and Navy Federal Credit Union—I’ve built scalable data pipelines, developed machine learning models, and created interactive dashboards that drive real business impact.My expertise spans data analysis, statistical modelling, machine learning, and visualisation, with a strong command of tools like Python, SQL, PySpark, Power BI, Azure, Databricks, and Azure Data Studio. I’m also passionate about applying LLMs and emerging AI techniques to solve complex business problems.Technical Skills:Machine Learning · Data Warehousing · Data Modelling · Exploratory Data Analysis · Predictive Analytics · Statistical Testing · DashboardingBeyond work, I enjoy reading thrillers, exploring world mythologies, playing soccer, and travelling. Always open to discussing Artificial Intelligence, Soccer, Stocks, or Travel Itineraries!Reach me at: a••••••••@gmail.comCheck out my work: https://linktr.ee/aaryaab
Experience
Business Intelligence Analyst i
Jul 2024 — Present · Vienna, VA, US
Data Science, Product Analytics & Modeling team in Savings Membership DepartmentKey Projects:Govt Shutdown Impact Modelling Using LLMs Led e-message analysis using LLM(databricks-gpt-120b) to understand member challenges during the government shutdown. Extracted member pain point & experience gaps to guide CX strategy, inform internal communications, and support data-driven decision-making for improving member experiencePropensity Modelling for CD Product GrowthDeveloped a machine learning model to predict members likely to open a Certificate of Deposit (CD) in the next 60 days. Model enabled targeted marketing and contributed to $30M+ in projected deposits Adopted for year-round deployment to optimise acquisition campaignsCertificate Retention Campaign – Lead Analyst Identified members suitable for targeted offers Performed uplift and elasticity testing across incentives (cash bonus vs. rate bump) Campaign resulted in $40M retained balance and $7M in incremental depositsMilitary Appreciation Month Campaign – Lead Analyst Designed and implemented targeting strategy for military member acquisition Campaign drove 2,300+ new memberships and $65M in new deposits Delivered $233K in promotional bonuses to encourage CD enrollmentFactSheet Dashboard Development (End-to-End)Built a scalable, auto-refreshing dashboard in Databricks with data sourced from Delta tables Tracks KPIs like engagement, balances, product enrollment, and distribution Optimized for performance, accuracy (100% vs. legacy), and usability by business stakeholders Implemented data wrangling, feature creation, and efficient write strategies for real-time updates
Education
Texas A&M University
Business Intelligence & Analytics Certificate
Texas A&M University
Master's degree, Management Information Systems
Birla Vishvakarma Mahavidyalaya
B.Tech, Electronics Engineering
2016 — 2020
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