# Nandom Wade

Nandom Wade is a remote worker on Himalayas, Lead Data Scientist at Apple, based in United States.

Source: https://himalayas.app/@nandomwade

```text
Lead Data Scientist at Apple who built experimentation and causal measurement frameworks for Apple Services.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 60k+ USD |
| Job categories | Data Scientist |
| Skills | Machine Learning, Experimentation, Causal Inference, Product Analytics, Statistical Modeling, A B Testing, A B N Testing, Quasi Experimental Techniques, Neural Architecture Search, AutoML, Deep Learning, Artificial Neural Networks, Genetic Algorithms, predictive modeling, Model Optimization |
| LinkedIn | https://linkedin.com/in/yiyunlan |

## About

```text
At Apple, I lead experimentation and causal measurement for Apple Services, helping product teams evaluate feature launches and rollout decisions. I use statistical modeling, A/B/n testing, and guardrail metrics to assess changes across services.

I engineered Python, SQL, and Spark pipelines that process billions of interaction events, providing behavioral datasets and engagement metrics for product analysis. I also developed variance-reduction workflows and quasi-experimental methods to evaluate changes when randomized experiments weren’t feasible.

At SparkCognition, I built Darwin AutoML using deep learning, evolutionary algorithms, and neural architecture search; the work improved model accuracy by 20%. I also contributed to patented methods for automated model building and search-space reduction.

Earlier, at Starcom, I modeled brand impact and developed marketing measurement frameworks to support campaign comparisons and media-planning decisions. As an Insight Data Science Fellow, I analyzed user interaction events and trained a churn model that achieved 91.8% classification accuracy.
```

## Experience

### Lead Data Scientist (current)

[Apple](https://himalayas.app/companies/apple). Oct 2019 - Present

```text
Led experimentation and causal measurement for Apple Services, enabling product teams to evaluate feature launches and rollout decisions. Engineered distributed analytics pipelines processing billions of events and standardized engagement metrics and guardrails.
```

Skills: Python, SQL, Apache-Spark, A-B-Testing, Causal-Inference, Statistical-Modeling, Hypothesis-Testing, Quasi-Experimental-Techniques, Variance-Reduction, Guardrail-Metrics, Data-Pipelines, Telemetry-Validation, Anomaly-Detection

### Senior Data Scientist

[SparkCognition](https://himalayas.app/companies/sparkcognition). Jul 2017 - Oct 2019

```text
Built Darwin AutoML using deep learning, neural architecture search, and evolutionary algorithms, improving model accuracy by 20%. Developed automated model training and evaluation workflows and applied SHAP-based interpretability.
```

Skills: Python, PyTorch, TensorFlow, Keras, scikit-learn, Deep-Learning, Neural-Architecture-Search, Genetic-Algorithms, AutoML, Hyperparameter-Optimization, Model-Evaluation, SHAP, Feature-Engineering

### Data Scientist

[Starcom](https://himalayas.app/companies/starcom). Dec 2016 - Jun 2017

```text
Modeled long-term brand impact using GLMM and statistical inference to quantify relationships between social engagement and marketing effectiveness. Developed unified marketing measurement frameworks and translated findings into recommendations for media investment decisions.
```

Skills: Python, R, SQL, GLMM, Statistical-Inference, Econometrics, regression-analysis, Marketing-Measurement

### Data Science Fellow

Insight Data Science. Jun 2016 - Aug 2016

```text
Processed over 200 million interaction events to identify behavioral patterns associated with user engagement and retention. Engineered 12 behavioral features and trained models to predict user churn, achieving 91.8% classification accuracy.
```

Skills: Python, MySQL, JSON, scikit-learn, Random-Forest, Linear-Discriminant-Analysis, Feature-Engineering, Classification, Statistical-Analysis

## Education

### Northwestern University

Ph.D., Neuroscience. 2009 - 2016

```text
Ph.D. in Neuroscience from Northwestern University, completed in 2016.
```

### Zhejiang University

B.S., Biomedical Engineering. 2004 - 2009

```text
B.S. in Biomedical Engineering from Zhejiang University, completed in 2009.
```

## Tech stack

- Apache Spark
- MySQL
- JavaScript
- Python
- JSON
- C++
- TensorFlow
- PyTorch
- scikit-learn
- Keras
- TypeScript
- SQL
- LangChain
- Pinecone

To contact Nandom, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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