ARSHAD ALI MOHAMMED
Data Scientist with a finance superpower — I know what questions the business needs answered.
M.S. in Business Analytics (3.9 GPA) · 4+ years in finance operations · Builds predictive models, automated ETL pipelines, and dashboards that drive measurable outcomes at scale using Python, SQL, and machine learning.
// Quick Snapshot
The analyst behind the data
I'm a data scientist who's lived inside the numbers — not just analyzed them from the outside. Before building ML models, I was the person managing a $150M+ accounts receivable portfolio at Dell Technologies, recovering $10M in bad debt, and cutting invoice processing time from 60 to 35 days.
That finance background is my unfair advantage. I know the right questions to ask, understand why a 25% efficiency gain matters to a CFO, and can translate model outputs into decisions that non-technical stakeholders will actually act on.
At ADP, I participated in a global finance transformation touching 2,000+ stakeholders. Now I bring that scale-of-thinking to data science — building pipelines, models, and dashboards that serve entire departments, not just data teams.
Currently pursuing full-time data science roles where I can combine statistical expertise with financial domain knowledge to move the needle on real business problems.
Where I've made an impact
- Built predictive classification and regression models using Python and Scikit-learn, improving accuracy by 15% over baseline through hyperparameter tuning and cross-validation
- Developed automated ETL pipelines using Pandas and SQL to clean, transform, and load data from multiple sources, reducing manual preprocessing time by 40%
- Created interactive dashboards in Tableau and Power BI integrating multiple data sources, enabling data-driven decisions across 5+ departments
- Performed exploratory data analysis and feature engineering on large datasets, surfacing actionable patterns for cross-functional stakeholders
- Designed data-driven backlog management system resolving 1,000+ credit exceptions in one month, boosting team processing efficiency by 25%
- Participated in global finance transformation initiative, performing data analysis in due diligence with 2,000+ stakeholders across multiple regions
- Automated Invoice-to-Cash workflows using SQL, managing 300+ client accounts monthly
- Analyzed vendor payment and cash flow data using SQL and Excel, developing strategies that improved cash flow efficiency by 30%
- Conducted sales trend analysis across 4 market segments using data visualization, contributing to 15% increase in deal volume
- Managed collections for $150M+ accounts receivable portfolio, maintaining 100% client retention through proactive communication
- Recovered $10M in bad debt and resolved $20M in aging balances (60+ to 360+ days) within three months via systematic dispute resolution
- Reduced invoice processing time from 60 to 35 days by identifying supply chain bottlenecks through data analysis
Projects built to solve real problems
Publications & papers
The tech stack
Education & credentials
BUILD
SOMETHING
GREAT.
"I turn messy data into clear narratives — and clear narratives into decisions that move the business forward."