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# Jiakai Lin

**Headline:** B.A. in Applied Mathematics & Economics, Boston University ’25 | M.Eng. in Financial Technology, Duke University ’27
**Profession:** GTM Intern
**Location:** United States

## About

Jiakai Lin is pursuing a Master of Engineering in Financial Technology at Duke University’s Pratt School of Engineering after earning a Bachelor of Arts in Applied Mathematics from Boston University in 2025. Jiakai’s work sits at the intersection of data analytics and go-to-market strategy, with experience building AI-enabled GTM systems, analyzing product and player behavior, and improving data infrastructure. At Firework, Jiakai reported to the CEO while building automated inbound routing, a five-agent outbound engine, and an LLM-assisted account-discovery tool for a B2B video-commerce platform. The prospect-discovery tool drew on 22 retrieval channels and improved Precision@15 by 18% over a heuristic baseline. Previously at Shengqu Games, Jiakai consolidated 120 million rows of legacy game data through a PySpark and SQL ETL pipeline, reduced batch-processing time by 15%, and improved page-query latency by 20%. Jiakai also analyzed 30 million player events and developed Tableau dashboards that informed three strategy adjustments for upcoming release cycles. Jiakai brings additional experience in securities client support and audit work, supported by technical skills in Python, SQL, R, PySpark, Tableau, GTM automation, and analytics.

## Services

- XGBoost
- optuna
- A/B Testing
- PySpark
- Tableau
- Zapier
- HubSpot
- n8n
- Apollo
- Claude Code
- Salesforce.com
- FastAPI
- Python \(Programming Language\)
- Data Visualization
- User Profiling
- R \(Programming Language\)
- Financial product
- Customer Service
- Investment Strategies
- Reporting & Analysis
- Auditing
- Microsoft Excel
- Time Management
- Problem Solving
- Financial Accounting
- Data Analysis
- SQL
- User Experience \(UX\)
- Market Research
- Business Analysis

## Highlights

- Built AI-powered GTM systems for Firework, a B2B video-commerce platform, while reporting to the CEO.
- Shipped a Zapier-based inbound-demo workflow routing qualified requests to five regional sales teams.
- Enriched Firework inbound leads with Apollo firmographics and Similarweb traffic data, scored ICP fit across four industry clusters, filtered agency and vendor inquiries before paid enrichment, and assigned sales-led, product-led, or manual-review tiers.
- Built a five-agent Python outbound engine for lead sourcing, research, ICP scoring, personalized outreach, and reply triage across five vertical ICP pods.
- Designed a six-dimension weighted scoring framework and reduced systematic score inflation by 10% by rebuilding the scoring prompt around evidence-based criteria.
- Routed Firework prospects to SDR handoff, self-serve, or a 90-day nurture cycle.
- Built an LLM-assisted seed expansion engine that identified high-potential accounts from existing customer profiles across 22 retrieval channels.
- Improved Precision@15 by 18% over a heuristic baseline with Firework’s seed expansion engine.
- Built a PySpark and SQL ETL pipeline at Shengqu Games that consolidated 120 million rows of legacy game data into a standardized schema for a new analytics platform.
- Reduced Shengqu Games batch-processing time by 15%.
- Improved MySQL page-query latency by 20% through slow-query analysis, composite indexing, and pre-aggregated summary tables.
- Analyzed 30 million player-behavior events in R using cohort analysis, retention funnels, and feature extraction.
- Built Tableau dashboards tracking retention, engagement, and monetization KPIs, providing Shengqu Games’ marketing team with self-serve insights.
- Informed three strategy adjustments for upcoming game-release cycles through player-behavior analysis and KPI dashboards.
- Supported securities-account onboarding and bank linkage at CITIC Securities Company Limited.
- Analyzed short- and long-term returns across CITIC Securities’ financial-product lineup and prepared Excel reports for client inquiries and internal management.
- Completed training on trust structures and financial-product features at CITIC Securities Company Limited.
- Performed voucher review, cutoff testing, and supporting-document consistency checks across large transaction volumes at BDO China-SHU LUN PAN Certified Public Accountants LLP.
- Prepared audit working papers for expense accounts, analyzed related-party account flows in Excel, and managed bank-confirmation dispatch at BDO China-SHU LUN PAN Certified Public Accountants LLP.
- Earned a Bachelor of Arts in Applied Mathematics from Boston University in 2025.
- Is pursuing a Master of Engineering in Financial Technology at Duke University’s Pratt School of Engineering, with an expected graduation year of 2027.

## Experience

- **GTM Intern at Firework** (2026-05-01–2026-08-01) — Built AI-powered GTM systems for a B2B video commerce platform, reporting to the CEO. -- Inbound Qualification & Routing — Shipped an automated workflow in Zapier routing inbound demo requests to five regional sales teams: enriches leads with Apollo firmographics and Similarweb traffic data, scores ICP fit across four industry clusters, filters out agency and vendor inquiries before paid enrichment, and segments into sales-led, product-led, or manual-review tiers with asymmetric thresholds by ICP tier. -- AI-Powered GTM Automation Engine — Built a five-agent outbound engine in Python \(lead sourcing, research, ICP scoring, personalized outreach, reply triage\) across five vertical ICP pods designed a six-dimension weighted scoring framework and cut systematic score inflation by 10% by rebuilding the prompt around evidence-based criteria routes prospects to SDR handoff, self-serve, or a 90-day nurture cycle. -- Seed Expansion Engine — Built an LLM-assisted prospect discovery tool surfa
- **Data Analyst at Shengqu Games** (2024-07-01–2024-08-01) — \-- Data infrastructure — Built an end-to-end ETL pipeline in PySpark and SQL consolidating 120M rows of legacy game data into a standardized schema for a new analytics platform, cutting batch processing time by 15% optimized the MySQL backend through slow-query analysis, composite indexing, and pre-aggregated summary tables, improving page query latency by 20% -- Player behavior analytics — Analyzed 30M player behavior events in R \(cohort analysis, retention funnels, feature extraction\) and built Tableau dashboards tracking retention, engagement, and monetization KPIs, giving the marketing team self-serve access to insights and informing three strategy adjustments for upcoming release cycles
- **Business Department at CITIC Securities Company Limited** (2024-05-01–2024-06-01) — \-- Supported client onboarding for securities accounts and bank linkage, and analyzed short- and long-term returns across the firm's financial product lineup in Excel, preparing reports for client inquiries and internal management completed training on trust structures and product features
- **Audit at BDO China-SHU LUN PAN Certified Public Accountants LLP** (2023-06-01–2023-08-01) — \-- Performed voucher review, cutoff testing, and consistency checks against supporting documents across large transaction volumes prepared audit working papers for expense accounts, analyzed related-party account flows in Excel, and managed bank confirmation dispatch。

## Education

- Master of Engineering - MEng, Financial Technology — Duke University Pratt School of Engineering (2025-08-01–2027-01-01)
- Bachelor of Arts - BA, Applied Mathematics — Boston University (2022-09-01–2025-05-01)

## FAQ

### What is Jiakai’s educational background?

Jiakai is pursuing a Master of Engineering in Financial Technology at Duke University’s Pratt School of Engineering, with an expected graduation year of 2027. Jiakai earned a Bachelor of Arts in Applied Mathematics from Boston University in 2025.

### What does Jiakai do?

Jiakai focuses on data analytics and data-driven go-to-market work. Jiakai has built AI-powered GTM automation, lead qualification and routing workflows, prospect-discovery tools, data pipelines, and analytics dashboards.

### What did Jiakai do at Firework?

At Firework, Jiakai was a GTM Intern reporting to the CEO and built AI-powered go-to-market systems for a B2B video-commerce platform.

### How did Jiakai improve inbound qualification and routing at Firework?

Jiakai shipped a Zapier workflow that routed inbound demo requests to five regional sales teams. The workflow enriched leads with Apollo firmographics and Similarweb traffic data, scored ICP fit across four industry clusters, filtered agency and vendor inquiries before paid enrichment, and segmented requests into sales-led, product-led, or manual-review tiers using asymmetric thresholds by ICP tier.

### What was Jiakai’s AI-powered GTM automation engine at Firework?

Jiakai built a five-agent outbound engine in Python covering lead sourcing, research, ICP scoring, personalized outreach, and reply triage across five vertical ICP pods. Jiakai designed a six-dimension weighted scoring framework, rebuilt its prompt around evidence-based criteria to reduce systematic score inflation by 10%, and routed prospects to SDR handoff, self-serve, or a 90-day nurture cycle.

### What did Jiakai’s seed expansion engine accomplish at Firework?

Jiakai built an LLM-assisted prospect-discovery tool that surfaced high-potential accounts from existing customer profiles across 22 retrieval channels. The tool improved Precision@15 by 18% compared with a heuristic baseline.

### What did Jiakai do at Shengqu Games?

At Shengqu Games, Jiakai worked as a Data Analyst on data infrastructure and player-behavior analytics.

### How did Jiakai improve data infrastructure at Shengqu Games?

Jiakai built an end-to-end PySpark and SQL ETL pipeline that consolidated 120 million rows of legacy game data into a standardized schema for a new analytics platform, reducing batch-processing time by 15%. Jiakai also improved the MySQL backend through slow-query analysis, composite indexing, and pre-aggregated summary tables, improving page-query latency by 20%.

### What player analytics work did Jiakai perform at Shengqu Games?

Jiakai analyzed 30 million player-behavior events in R using cohort analysis, retention funnels, and feature extraction. Jiakai built Tableau dashboards for retention, engagement, and monetization KPIs, giving the marketing team self-serve access to insights and informing three strategy adjustments for upcoming release cycles.

### What did Jiakai do at CITIC Securities Company Limited?

At CITIC Securities Company Limited, Jiakai supported securities-account onboarding and bank linkage. Jiakai analyzed short- and long-term returns across the firm’s financial-product lineup in Excel, prepared reports for client inquiries and internal management, and completed training on trust structures and product features.

### What audit experience does Jiakai have at BDO China-SHU LUN PAN Certified Public Accountants LLP?

At BDO China-SHU LUN PAN Certified Public Accountants LLP, Jiakai performed voucher review, cutoff testing, and consistency checks against supporting documents across large transaction volumes. Jiakai prepared audit working papers for expense accounts, analyzed related-party account flows in Excel, and managed bank-confirmation dispatch.

### What technical tools and analytics skills does Jiakai use?

Jiakai’s technical toolkit includes Python, SQL, R, PySpark, Tableau, FastAPI, XGBoost, Optuna, A/B testing, data visualization, user profiling, Zapier, n8n, HubSpot, Apollo, Salesforce.com, and Claude Code.

### What business, finance, and operational skills does Jiakai have?

Jiakai also has experience with financial products, investment strategies, financial accounting, auditing, reporting and analysis, market research, business analysis, customer service, Microsoft Excel, user experience, time management, and problem solving.

## Links

- LinkedIn: https://www.linkedin.com/in/jiakai-lin-061b6525b

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