# Shili He

Shili He is a remote worker on Himalayas, Senior Data Analyst at Alvarez & Marsal, based in United States.

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

```text
Senior Data Analyst at Alvarez & Marsal who automated Capital IQ workflows, saving 20 hours monthly and accelerating deal evaluations.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 150k+ USD |
| Job categories | Data Analyst, Data Reporting Specialist |
| Skills | Alternative Data, Private Markets Research, Sector Analysis, Quantitative Screening, Quantitative Scoring, NLP, Entity Extraction, Sentiment Analysis, LLM Prompt Engineering, Machine Learning, Classification, regression, Clustering, Data Source Evaluation, Web Scraping |
| LinkedIn | https://linkedin.com/in/shili-he |

## About

```text
At Alvarez & Marsal’s Data Intelligence Gateway, I owned the research cycle for 25+ PE and corporate clients, turning investment criteria into sector analyses and prioritized acquisition target lists. I also built screening logic that helped sharpen pipeline prioritization.

I developed AI agent workflows and LLM prompts for private-company profiling and ownership mapping, cutting manual effort by about 30%. I evaluated more than 10 data vendors and recommended two for production, and automated Capital IQ and API extraction to save 20 hours a month.

Earlier at Alvarez & Marsal, I engineered company-status classifiers that raised accuracy from 60% to 80%, and built dashboards to track screening coverage and deal signals. At JP Morgan Chase, I analyzed user behavior and optimized survey design, increasing response rates by 77%; at Brown Brothers Harriman, I automated reporting for 20+ clients, reducing processing time by 30%.
```

## Experience

### Senior Data Analyst

Alvarez & Marsal. Nov 2022 - Feb 2026

```text
Owned the research cycle for 25+ PE and corporate clients, translating investment criteria into sector analyses and quantitative scoring frameworks. Developed AI agent workflows and LLM prompts to automate private company profiling, cutting manual effort by ~30%.
```

Skills: Python, SQL, NLP, LLM, Prompt-Engineering, Capital-IQ, API-Integration, Data-Source-Evaluation, Quantitative-Scoring, Screening-Logic, Power-BI, Tableau, Alteryx, Excel

### Data Analyst

Alvarez & Marsal. Aug 2021 - Oct 2022

```text
Engineered ML classifiers on company website signals to assess operational status, lifting accuracy from 60% to 80%. Integrated web, firmographic, and transactional data sources to streamline target identification, improving efficiency by ~60%.
```

Skills: Machine-Learning, Python, Data-Integration, Power-BI, Tableau, SQL, Web-Scraping

### Data Analyst

[JP Morgan Chase](https://himalayas.app/companies/jpmorgan-chase-co). Nov 2020 - Jul 2021

```text
Synthesized findings from global stakeholder interviews into reports that informed product strategy prioritization. Analyzed user behavior data to identify engagement patterns, informing feature scoping and resource allocation.
```

Skills: Data-Analysis, SQL, Survey-Design, Stakeholder-Interviews, Product-Strategy

### Client Data Reporting Specialist

[Brown Brothers Harriman](https://himalayas.app/companies/brown-brothers-harriman). Jun 2020 - Nov 2020

```text
Tracked and reported monthly performance metrics and usage trends for global institutional client teams. Automated reporting process with SQL and VBA for 20+ clients, cutting processing time by 30%.
```

Skills: SQL, VBA, Reporting, Automation, Data-Analysis

## Education

### Fordham University

Master of Science, Business Analytics. Grade: 3.9

```text
Master of Science in Business Analytics with a GPA of 3.9.
```

### Southwest Jiaotong University

Bachelor of Engineering, Electrical Engineering

```text
Bachelor of Engineering in Electrical Engineering.
```

## Tech stack

- Tableau
- NumPy
- Pandas
- MySQL
- Oracle
- Python
- scikit-learn
- NLTK
- Git
- SQL
- Power BI

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

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