Analyst Intern Data Analytics

Thien Huong Ho

857-***-**** Boston, MA **.***@************.*** LinkedIn Github

SUMMARY

Quantitative analyst with 2+ years (incl. internships) driving product and user insights via SQL/Python. Expert in Tableau dashboards, cohort & funnel analyses, A/B testing, and cross-functional storytelling to inform product launches, optimize user flows, and boost KPIs. EDUCATION

Northeastern University, Boston, MA

M.S. Analytics, May 2025 (GPA: 3.7) B.S. Management, May 2023 (Magna Cum Laude) Courses: Data Mining, Predictive Analytics, Data Visualization, SQL Certifications: Google Advanced Data Analytics, Microsoft SQL Server 2022 Languages: Vietnamese, English (native/fluent), Chinese (intermediate), French (intermediate) TECHNICAL SKILLS

• Programming & Tools: Python, SQL, R, Excel, Google Suite, Microsoft Office Suite

• Data Analysis: Regression, Clustering, A/B Testing, Hypothesis Testing, Cohort & Funnel Analysis

• ML/AI: Supervised/Unsupervised Learning, NLP, LLM

• Visualization: Tableau, Power BI, Looker

• Databases: Snowflake, PostgreSQL, ETL processes, Excel/VBA PROJECTS

DataWorksAI SQL, Python, PostgreSQL, GPT-3.5, OpenShift April 2025 – Present

• Built an NLP-to-SQL interface enabling consultants to autonomously access actionable insights on student graduation and admission trends, automating 70% of routine queries.

• Standardized ETL processes with detailed documentation, reducing analyst training from 10 to 3 days, accelerating team productivity by 30%.

• Curated 1000+ Natural-Language–to-SQL training pairs for the dataset; fine-tuned the text-to-SQL model to 85% accuracy. WORK EXPERIENCE

Feminine Intelligence Agency (FIA), Analyst Intern St Paul, Minnesota Python, NLP, LLM, TypeScript, Node.js April 2025 – Present

• Transformed core ML technology in collaboration with C-suite, improved pattern recognition accuracy by 20%, driving 30% user growth within 3 months and expanding the company's addressable market.

• Redesigned LLM chatbot architecture (React/TypeScript, Node.js), optimizing prompts to maintain 100% trait coverage while reducing token usage by 90% — cutting AI costs from $0.15 to $0.02.

• Developed scoring algorithms with confidence metrics across 30 behavioral dimensions, increasing analyzable data by 120% and reducing misclassification rates by 18%.

• Led root-cause churn analysis and question-depth flow reengineering on 1K+ chatbot sessions; uncovered early intrusive prompts drove 40% abandonment and implemented progressive questioning to boost completion 30%. ESGWise, Analyst Intern Princeton, NJ Python, SQL, Tableau, Excel September 2023 – December 2023

• Uncovered compliance vulnerabilities by auditing ESG standards across 8 corporate clients, identifying 12 critical gaps and implementing process improvements that increased ISO 14001 compliance by 15%.

• Accelerated sustainability reporting by building integrated Tableau dashboards for carbon, energy, and diversity KPIs, reducing monthly reporting time from 3 days to 4 hours.

• Automated certification verification across 2,000+ records, saving analysts 30% weekly (12 hrs/week), reallocating saved hours to proactive ESG strategy development.

Wayfair LLC, Fintech Analyst Co-op Boston, MA SQL, Excel, VBA July 2022 – December 2022

• Spearheaded real-time financing dashboard for Wayfair’s top 7 Fintech partners; tracked funnel conversion and churn metrics, reducing risk- reporting latency from 24 hrs to 15 min and enabling rapid interventions on ~1,200 orders/month.

• Improved data reliability by engineering an automated Excel-based pipeline for dashboard data integration, eliminating 100% manual data uploads, and reducing finance-related reporting errors by 25%.

• Tackled revenue leakage by conducting root-cause analysis to identified 5,000+ false fraud flags in 100K transactions, recovering up to $1M in revenue.

• Designed & analyzed A/B tests on 20 ad placements (CTR, ROAS), reallocating $50K spend to top performers and delivering a 120% average ROAS uplift.

• Performed cohort-based sentiment analysis on 10,000 customer reviews, resolving top 10 friction points, increasing credit card customer satisfaction score to 9.5/10, leading to 8% customer retention uplift over 3 months.

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