Jaden Oca.

Capital One

Associate Business Analyst

Fortune 100 bank with $470B+ in assets across 100M+ customers

• ▪Support 70% YoY revenue growth for auto lending SaaS platform by monitoring churn, ARR, and customer lifetime value across 19K dealers, informing forecasts and GTM decisions
• ▪Reduce research time by 90% for 100-person department by building custom Gemini assistant grounded in GTM policies, reporting metrics, and internal terminology, accelerating document synthesis, pricing lookups, and trend analysis
• ▪Inform GTM strategy for B2B SaaS products by building and maintaining quarterly report from scratch, using SQL to pull and analyze transaction data from 19K auto dealerships, ensuring reproducibility with Git
• ▪Drive pricing decisions by delivering competitive analyses across SaaS product portfolio, benchmarking pricing and positioning against key competitors

Cotality

Data Science Intern

Property intelligence leader with 5.5B U.S. property records serving 98 of top 100 mortgage lenders

• ▪Automated 95% of claims review process through building machine learning pipeline in Python and SQL with TF-IDF vectorization and Logistic Regression model
• ▪Built scalable NLP feature engineering pipeline by designing ETL framework to clean and standardize 40K peril records into a single source of truth in Snowflake

Truist Financial Corporation

Data Science Intern

Financial services corporation managing over $527B in assets with over 15M clients

• ▪Increased recovery for past-due payments by 11% through analyzing 23M transactions to identify trends between when alerts are sent and effectiveness in generating payments within three days
• ▪Enhanced decision-making for a 50-member department by creating a Tableau dashboard analyzing 13 months of client behavior across 6M accounts, leading to improved assessment of payment trends

Link Logistics Real Estate

Data Analyst Intern

Industrial real estate operator managing 535M square feet in assets

• ▪Forecasted leasing prices for 8K tenants in five major markets using Random Forest and XGBoost models, uncovering trends to inform pricing strategies, presenting findings to Chief Data Officer
• ▪Improved model performance by 12% by incorporating geographic and demographic factors using Azure and GeoPandas
• ▪Identified three underutilized investments with projected 8% ROI uplift through regression based financial modeling across 4K properties in 51 geographic markets

Capital One

Associate Business Analyst

Fortune 100 bank with $470B+ in assets across 100M+ customers

• ▪Support 70% YoY revenue growth for auto lending SaaS platform by monitoring churn, ARR, and customer lifetime value across 19K dealers, informing forecasts and GTM decisions
• ▪Reduce research time by 90% for 100-person department by building custom Gemini assistant grounded in GTM policies, reporting metrics, and internal terminology, accelerating document synthesis, pricing lookups, and trend analysis
• ▪Inform GTM strategy for B2B SaaS products by building and maintaining quarterly report from scratch, using SQL to pull and analyze transaction data from 19K auto dealerships, ensuring reproducibility with Git
• ▪Drive pricing decisions by delivering competitive analyses across SaaS product portfolio, benchmarking pricing and positioning against key competitors

Cotality

Data Science Intern

Property intelligence leader with 5.5B U.S. property records serving 98 of top 100 mortgage lenders

• ▪Automated 95% of claims review process through building machine learning pipeline in Python and SQL with TF-IDF vectorization and Logistic Regression model
• ▪Built scalable NLP feature engineering pipeline by designing ETL framework to clean and standardize 40K peril records into a single source of truth in Snowflake

Truist Financial Corporation

Data Science Intern

Financial services corporation managing over $527B in assets with over 15M clients

• ▪Increased recovery for past-due payments by 11% through analyzing 23M transactions to identify trends between when alerts are sent and effectiveness in generating payments within three days
• ▪Enhanced decision-making for a 50-member department by creating a Tableau dashboard analyzing 13 months of client behavior across 6M accounts, leading to improved assessment of payment trends

Link Logistics Real Estate

Data Analyst Intern

Industrial real estate operator managing 535M square feet in assets

• ▪Forecasted leasing prices for 8K tenants in five major markets using Random Forest and XGBoost models, uncovering trends to inform pricing strategies, presenting findings to Chief Data Officer
• ▪Improved model performance by 12% by incorporating geographic and demographic factors using Azure and GeoPandas
• ▪Identified three underutilized investments with projected 8% ROI uplift through regression based financial modeling across 4K properties in 51 geographic markets