Lingyun He

LH

Open to opportunities

Lingyun He

@lingyunhe

MSc Analytics candidate turning financial and customer data into actionable insights through Python, SQL, and machine learning.

What I'm looking for

I’m looking for an analytics role where I can turn financial and customer data into measurable business impact, combine statistical modeling with machine learning, and contribute to data-driven decisions in fast-moving market environments.

I’m an MSc Analytics candidate at NTU, focused on transforming messy data into actionable business insights. I bring hands-on experience from equity markets and marketing analytics, with a strong interest in AI-driven workflows that improve decision-making.

In my recent practicum as a Practcum Analyst, Equity Sales & Trading, I monitored Asia-Pacific market developments, reviewed institutional equity research materials, and helped synthesize insights for sales and trading stakeholders. Previously, as a Data Analytics Intern at Publicis Groupe, I built Python scripts to extract and cluster user feedback, and I used regression analysis to forecast click trends from ad spend signals.

My technical foundation spans Python, SQL, and statistical modeling, alongside machine learning methods like clustering, regression, time series analysis, and NLP. I’ve also built an LLM-Assisted Equity Sales Recommendation Framework using ReAct prompting and Sentence-BERT matching to reduce information overload in institutional equity sales workflows.

Experience

Work history, roles, and key accomplishments

HL

Practicum Analyst

Haitong International Securities (Singapore) Pte. Ltd.

Mar 2026 - May 2026 (2 months)

Monitored Asia-Pacific equity market developments and reviewed equity research reports to support institutional sales and trading activities. Synthesized research insights into investment materials and assisted with market update preparation during the practicum.

Equity Research Institutional Sales Trading Support

PG

Data Analytics Intern

Publicis Groupe

Nov 2024 - Jan 2025 (2 months)

Collected social media data and developed Python scripts to extract user feedback, using clustering to identify product improvement opportunities. Built predictive click-through models via regression analysis, and collaborated to develop data visualization tools and maintain the data platform.

Python Clustering regression predictive modeling Data Visualization Data Platform Maintenance

HS

Automotive Group Intern

Huatai Securities

May 2024 - Jul 2024 (2 months)

Used Python and Wind to analyze automotive market trends and individual stock performance, producing daily industry reports. Developed quantitative models for vehicle launches and financial indicators, contributing to a 20,000-word industry research report and providing input on market share and expected profits for strategy memos.

Python Wind Financial Terminal Market Trends Quantitative Modeling Industry Research Reporting Strategy Memo Support

Education

Degrees, certifications, and relevant coursework

NU

Nanyang Technological University

Master of Science, Analytics

2025 - 2026

Pursuing a Master of Science in Analytics, developing skills in analytics and data-driven problem solving.

SE

Shanghai University of Finance and Economics

Bachelor of Economics, Economics

2021 - 2025

Studied Economics in preparation for quantitative analysis and financial research work.

CU

Columbia University

Student Visiting Program

2024 - 2024

Completed a Student Visiting Program at Columbia University over a spring term.

Tech stack

Software and tools used professionally

NumPy

Pandas

PyTorch

scikit-learn

SQL

Synthesized

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