Portfolio

2026 Edition
@

Yiting Chen ✓

  • Content Strategy
  • Content Creation
  • Analytics & Performance

YITING
CHEN

Digital Marketing Specialist

Building brands
through data
driven
strategy

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Portrait of Yiting Chen

Hi! I'm Yiting

About Me

I am a digital marketing specialist focused on helping brands grow through strategic content, consistent storytelling, and data-driven decisions. I work across social, SEO, email, and go-to-market messaging to turn content into a repeatable system, and let performance data decide what gets published next, expanding the reach and influence of brands on digital platforms.

How I Work

Design it, ship it, measure it.

Three disciplines, one loop — what I make, where it runs, and what the numbers say to make next.

Creative

Design systems and shoots, not one-off assets

Design turnaround7 days → 2 days8 hrs/week freed

  • Build reusable template systems in Canva and Figma so a team can self-serve on brand
  • Produce flyers, event graphics, and social assets end to end
  • Direct and edit short-form video for social

Marketing

Channels run as a system, not a posting schedule

Follower growth400 → 1,000+in 5 months

  • Calendars built from audience and search intent
  • Social, email and web copy in one brand voice
  • Keyword strategy through to on-page rewrites

Data

The tracker decides what gets made next

Short-form vs static1.2% → 5%engagement

  • Post-level tracking in Excel, Tableau and GA
  • A/B test creative against creative, format against format
  • Reallocate calendar and budget toward what wins
+150%
Follower Growth

Result &
Growth

+25%
Conversion Rate

Organic growth at NYU, SEO at TeZign, and paid campaigns at HiTechMODA.

+56%
Search Inclusion

Key Metrics ✓

  • +800+ attendees, 6 events
  • +4 articles over 20,000 views

What I Do

Four things I run end to end. Open one to see the work behind it.

Organic Social Calendars and post-level tracking, built from audience and search intent See the work SEO & Content Keyword research and on-page copy that earns inclusion See the work Student Events Announcement copy, flyers and campus outreach that fill rooms See the work Paid Social Meta Ads campaigns steered by CTR, CPC, CPL and ROAS See the work

Selected Work

Four pieces of work across organic social, SEO, student events and paid — what I ran, and what it moved.

The nyu_tmi Instagram profile: 95 posts, 642 followers, story highlights for Class of 2025, TMI GAs and Events, and a post grid of course promos and Summer Webinar Series cards.
The NYU Tandon Department of Technology Management and Innovation LinkedIn page: 2,228 followers, the department overview, and a Page posts feed led by a graduate assistant hiring post.

Organic Social

NYU LinkedIn + Instagram

Ran both accounts end to end — sourced story angles with program staff, wrote and scheduled every post, and tracked post-level engagement in a self-built tracker.

400 → 1,000+ followers in 5 months

LinkedIn Instagram

The published TeZign piece on Medium: the headline 'Years of Teaching Design to Learn AI | FAN LING', a 16 minute read dated July 23 2024 under the Tezign account, and the keynote stage photo captioned Tech x Design.

Scroll inside the frame to read the article

SEO & Content

TeZign keyword strategy + on-page rewrite

Built the keyword list from scratch using search volume and intent research, then worked with the web team to rewrite on-page copy — and wrote the long-form pieces the strategy pointed to.

Search inclusion up 56% in 3 weeks

Long-form piece I produced

The NYC Build With AI Hackathon event page: a Build with AI New York City 2026 banner with a packed lecture-hall group photo, hosted at NYU Tandon Room 202 by GDG NYC, showing 355 RSVPs for the March 27 evening session.

Student Events

NYU student events

Promoted in-person student events end to end — including a Google × NYU hackathon — writing announcement copy and outreach messages, producing the flyers and campus channel push, and coordinating with program staff and student orgs to drive turnout.

800+ attendees across 6 events, up 25% from the prior term

A hiTechMODA Instagram post promoting New York Fashion Week on September 6 and 7, with the full two-day runway schedule from Pageant Runway through Casting Designers and a ticket link, showing 116 likes.

Scroll inside the frame to see the full post

Paid Social

HiTechMODA Meta Ads

Ran campaigns across three audience segments, tracking CTR, CPC, CPL and ROAS to steer daily spend toward the winning ad sets.

Registration conversion up 25%

Technical Projects

Hands-on data work alongside the marketing: dashboards, queries, and pipelines built end to end.

The nine-view Tableau dashboard: work-life balance by industry and continent, remote working by US state, job role versus stress level, mental-health condition counts, and company support versus work-life balance.

Remote Work & Mental Health Dashboard

  • Tableau
  • Kaggle open dataset

Built an interactive Tableau dashboard exploring the relationship between remote work and mental health, using a public survey dataset from Kaggle. Filters let a viewer compare outcomes across groups.

AI Startup HR. Our HR team deployed targeted interventions for our distributed staff. By using location filters to pinpoint high-stress remote and hybrid pods, we introduced flexible hours and localized wellness perks—boosting overall retention by 28%, cutting burnout absenteeism by 35%, and raising our satisfaction score from 3.2 to 4.7 out of 5 within six months.

Open on Tableau Public

Dataset: Impact_of_Remote_Work_on_Mental_Health (Kaggle) · n = 5,000 survey records · 15 worksheets across 9 published views · 1,000+ views on Tableau Public.

SELECT borough, COUNT(*) AS n FROM restaurant_inspections WHERE cuisine IS NOT NULL GROUP BY borough ORDER BY n DESC;

NYC Restaurant Market Analysis

  • SQL
  • MySQL Workbench
  • NYC Open Data

Wrote SQL queries over New York City restaurant data from NYC Open Data to count and compare the market. Records were cleaned and filtered to NYC, loaded into MySQL, enriched with a multi-column UPDATE … JOIN against a staging table, then grouped by cuisine type.

Source: NYC Open Data, queried in MySQL Workbench against the `restaurants` schema.

AUD AUD 1.00 0.47 0.75 0.55 0.39 0.66 0.74 0.32 0.40 0.52 BRL BRL 0.47 1.00 0.46 0.22 0.27 0.35 0.37 0.24 0.08 0.58 CAD CAD 0.75 0.46 1.00 0.50 0.28 0.59 0.63 0.40 0.25 0.52 CHF CHF 0.55 0.22 0.50 1.00 0.44 0.81 0.60 0.26 0.63 0.28 CNY CNY 0.39 0.27 0.28 0.44 1.00 0.37 0.37 0.21 0.31 0.18 EUR EUR 0.66 0.35 0.59 0.81 0.37 1.00 0.76 0.33 0.54 0.45 GBP GBP 0.74 0.37 0.63 0.60 0.37 0.76 1.00 0.38 0.43 0.47 INR INR 0.32 0.24 0.40 0.26 0.21 0.33 0.38 1.00 0.07 0.38 JPY JPY 0.40 0.08 0.25 0.63 0.31 0.54 0.43 0.07 1.00 0.15 MXN MXN 0.52 0.58 0.52 0.28 0.18 0.45 0.47 0.38 0.15 1.00 0.0 0.2 0.4 0.6 0.8 1.0 Correlation Q5: Which currencies move together in response to U.S. macroeconomic conditions? Source: Open Exchange Rates API — weekly returns 2020–2026

Correlation of weekly returns across the ten target currencies (question 5). Strongest co-movement CHF–EUR 0.81; weakest INR–JPY 0.07 and BRL–JPY 0.08. Source: Open Exchange Rates API, weekly returns 2020–2026.

Exchange Rates and U.S. Macroeconomic Indicators (2020–2026)

Executive Summary

This report analyzes the fluctuations in exchange rates and their correlation with U.S. macroeconomic indicators from 2020 to 2026. The findings reveal significant trends in currency movements, particularly the strengthening of the U.S. dollar against the Japanese Yen and its weakening against the Swiss Franc, alongside notable correlations with interest rates and news sentiment.

Key Findings

1. The U.S. dollar experienced its most substantial strengthening against the Japanese Yen, appreciating by 46.9% in foreign currency per USD.

2. Conversely, the dollar weakened the most against the Swiss Franc, with a decline of 19.1%.

3. The correlation between the Euro/USD exchange rate and the Federal Funds Rate stands at +0.44, suggesting a moderate relationship.

Methodology

Data from three APIs: Open Exchange Rates for currency data, FRED for macroeconomic indicators, and the OpenAI GPT API for sentiment analysis of related news articles.

Limitations

Potential biases in sentiment analysis, and the inherent volatility of emerging-market currencies compared to developed markets.

Generated by the pipeline · transcribed from your report output.

Automated Report Pipeline

  • Python
  • OpenAI API
  • REST API
  • Currency exchange API

A Python pipeline that pulls data from a REST API and a currency exchange API, uses the OpenAI API to generate written analysis, and exports a formatted HTML report.

Domain: daily FX rates for 10 currencies against the US dollar, joined to Federal Reserve macro series (Fed Funds Rate, CPI, unemployment, Treasury yields, trade-weighted dollar index), 2020 to present. Runs on a schedule.