Data Scientist  /  Analytics Engineer

Turning complex data into decisions engineered for impact.

I design the models, forecasts, and data systems that move uncertainty off the table — so the right call becomes the obvious one.

Selected Work

§ 01 — Selected Work

A record of decisions
shaped by evidence.

  1. 01

    Marketing Analytics Engine

    Customer segmentation and campaign-ROI modeling that reallocated spend toward the highest-yield cohorts.

    • Segmentation
    • ROI Modeling
    • Python
    2025
  2. 02

    Supply-Chain Demand Forecasting

    ARIMA / SARIMA pipelines forecasting demand across SKUs to cut stock-outs and trim carrying cost.

    • SARIMA
    • Forecasting
    • Time-Series
    2025
  3. 03

    UAE Cancer Incidence Study

    Epidemiological analysis surfacing incidence patterns and risk signals across demographic segments.

    • Statistics
    • EDA
    • Public Health
    2024
  4. 04

    Web Intelligence Pipeline

    Resilient, large-scale scraping and structuring of unstructured web data into a clean analytical layer.

    • Scraping
    • ETL
    • Automation
    2024
  5. 05

    End-to-End ML Capstone

    A full machine-learning system — from raw ingestion through feature engineering to a deployed predictor.

    • scikit-learn
    • Pipelines
    • Deployment
    2024

§ 02 — Profile

“Good analysis is engineering — every figure should bear load.”

I'm Adyan Ahmad, a data scientist who treats analysis like precision engineering: built to a tolerance, stress-tested, and accountable to the decision it informs.

My work spans the full arc — framing the question, wrangling the data, modeling the signal, and translating the result into language a leadership team can act on. Forecasting, segmentation, statistical inference, and the visual narrative that makes a finding land.

0 Projects shipped
0 Models deployed
0 Mean forecast accuracy
0 In analytics

§ 03 — Capabilities

The toolkit behind
the decisions.

/ 01

Machine Learning

Classification, regression, and ensemble methods from baseline to production with scikit-learn & Keras.

/ 02

Time-Series Forecasting

ARIMA, SARIMA, and decomposition for demand, revenue, and operational planning.

/ 03

Statistical Modeling

Hypothesis testing, inference, and experiment design that hold up to scrutiny.

/ 04

Data Engineering

ETL pipelines, web scraping, and clean analytical layers built on Python & SQL.

/ 05

Visualization & BI

Dashboards and narrative graphics in Tableau, Power BI, and matplotlib that drive action.

/ 06

Decision Translation

Turning model output into the one slide that changes what a team does next.

Stack
  • Python
  • SQL
  • pandas
  • NumPy
  • scikit-learn
  • Keras
  • statsmodels
  • Tableau
  • Power BI
  • Git