Available · Full-time Data Science

ARSHAD ALI MOHAMMED

Data Scientist / Financial Analytics

A data scientist with a finance background — I know the questions the business actually needs answered.

M.S. in Business Analytics (3.9 GPA) with 4+ years in finance operations. I build predictive models, automate ETL pipelines, and ship dashboards that drive measurable outcomes — in Python, SQL, and the ML stack.

View Projects → Download Résumé ↓ Get in Touch ↗
Years Experience
$M+ Portfolio Managed
/4 Graduate GPA
M+ Txns Analyzed
About

The analyst behind the data

I'm a data scientist who has lived inside the numbers — not just analyzed them from the outside. Before building ML models, I managed a $150M+ accounts receivable portfolio at Dell Technologies, recovered $10M in bad debt, and cut invoice processing time from 60 to 35 days.

That finance background is my unfair advantage. I know the right questions to ask, I understand why a 25% efficiency gain matters to a CFO, and I can translate model outputs into decisions non-technical stakeholders will actually act on.

At ADP, I contributed to a global finance transformation touching 2,000+ stakeholders. 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 statistical expertise and financial domain knowledge combine to move the needle on real business problems.

Core Proficiencies
Python — Pandas, NumPy, PySpark Daily use · 5 yrs ETL · data wrangling · feature engineering
SQL — MySQL, PostgreSQL, SQLite Daily use · 5 yrs Complex joins · window functions · query tuning
Machine Learning — Scikit-learn, TensorFlow Production · 2 yrs Classification · regression · clustering · tuning
BI & Visualization — Tableau, Power BI Daily use · 4 yrs Executive dashboards · KPI storytelling
Statistics & Experimentation Applied · 3 yrs A/B testing · hypothesis testing · time series
Financial Domain Expertise Career · 4+ yrs AR · I2C · cash flow · risk · compliance
40%
Preprocessing time cut
15%
Model accuracy lift
25%
Efficiency gain · ADP
30%
Cash flow improvement
Career Timeline

Where I've made an impact

Four roles across finance operations and data science — each one adding a layer of context to the next.

Aug 2025 — Present
Data Science Intern
Hetro Global Soft Tech Inc.
— Remote
  • Built predictive classification and regression models in Python & Scikit-learn, improving accuracy by 15% over baseline via hyperparameter tuning and cross-validation.
  • Developed automated ETL pipelines with Pandas and SQL to clean, transform, and load data from multiple sources — cutting manual preprocessing time by 40%.
  • Shipped interactive Tableau and Power BI dashboards integrating multiple data sources, enabling data-driven decisions across 5+ departments.
  • Led exploratory data analysis and feature engineering on large datasets, surfacing actionable patterns for cross-functional stakeholders.
Apr 2021 — Sep 2022
Financial Operations Analyst
ADP
— Hyderabad, IN
  • Designed a data-driven backlog management system resolving 1,000+ credit exceptions in one month — boosting team processing efficiency by 25%.
  • Contributed to a global finance transformation, running due-diligence data analysis alongside 2,000+ stakeholders across multiple regions.
  • Automated Invoice-to-Cash workflows in SQL, managing 300+ client accounts monthly with zero billing errors.
Jul 2020 — Mar 2021
Financial Analyst
United Elevators
— Hyderabad, IN
  • Analyzed vendor payment and cash flow data in SQL and Excel, developing strategies that improved cash flow efficiency by 30%.
  • Ran sales trend analysis across 4 market segments using data visualization — contributing to a 15% increase in deal volume.
Nov 2018 — Jun 2020
Accounts Receivable Specialist
Dell Technologies
— Hyderabad, IN
  • Managed collections for a $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.
Selected Work

Projects built to solve real problems

Three representative projects — fraud analytics in SQL, a recommendation engine in Python, and a sales dashboard in Tableau.

01

Credit Card Fraud Detection

SQLPython PandasMatplotlib PostgreSQL

Analyzed 1.3M+ credit-card transactions (0.6% fraud rate) using 15+ SQL queries across 7 detection dimensions. Identified 3× higher fraud between 10PM–3AM and flagged card cloning via geographic anomaly detection (impossible travel > 100 mi/hr).

View on GitHub↗
02

Spotify Music Recommender

PythonScikit-learn K-MeansCosine Sim.

Built a content-based recommendation engine for 90K+ Spotify tracks using K-Means (k=8) and cosine similarity on 9 normalized audio features — delivering top-N recommendations with 98%+ similarity scores via cluster-scoped search.

View on GitHub↗
03

Sales Performance Dashboard

TableauSQL Excel

Developed an interactive Tableau dashboard analyzing 271K+ sales transactions across 147 countries and 795 reps — revealing 89% sales growth (2011–2014) and the top 5 markets contributing 35% of global revenue.

View on GitHub↗
Research

Publications & papers

Peer-reviewed work at the intersection of machine learning, finance, and large-scale systems.

IJAES · Intl. Journal of Accounting & Economics 2026

Self-Adaptive Machine Learning Models for Financial Risk Forecasting: Handling Non-Stationarity in Banking & Cryptocurrency Time Series

Vol. 13(2) · DOI: 10.14419/7x458m39

Read paper ↗
IEEE Xplore · Conference Publication 2025

Integrating Singularity with Big Data

IEEE Conference Proceedings · 2025

Read paper ↗
Tools & Technologies

The tech stack

Languages, frameworks, and platforms I reach for — grouped by the kind of work they do.

01 Languages & ML
PythonPandasNumPy Scikit-learnTensorFlowPySpark RK-MeansCosine Sim. Feature Eng.
02 Databases & Data
SQLMySQLPostgreSQL SQLiteETLAdvanced Excel Power QueryVBA
03 Analytics & BI
TableauPower BIMatplotlib SeabornA/B TestingHypothesis Time SeriesPredictive ModelingDAX
04 Tools & Platforms
Git / GitHubJupyterJira SAPOracle R12 SalesforceSAS
Academic Background

Education & credentials

Graduate
M.S. Business Analytics
Trine University — Detroit, MI
GPA 3.9 / 4.0 GRE 328 / 340 Mar 2023 – May 2025
Selected Coursework

Statistics · Data Mining · Big Data · Machine Learning · Data Science · Data Analytics · Financial Modeling · Financial Analysis · Data Visualization · Business Analytics

Undergraduate
B.Com (Honors)
Osmania University — Hyderabad, India
CGPA 8.0 / 10 May 2014 – May 2017
Selected Coursework

Accounting, Finance & Management · Financial Reporting · Business Economics · Corporate Law & Taxation

Get in Touch

Let's build something
that actually moves the needle.

"I turn messy data into clear narratives — and clear narratives into decisions that move the business forward."

Reach Out

Always open to connect.

@
Email
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in
LinkedIn
arshad-ali-m-080110135
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GitHub
github.com/Arshad289
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Location
Columbus, OH — Open to remote & relocation
Send a Message ↗