Shanni Lam Analyst/Recruiter

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Part-Time Development Intern

The Radmin Company

Aug 2023 - Current (3 years 1 month)

• Writing coverage on 2 film or TV scripts each week, editing pitch decks to studios and creating cast lists for writers and actors.

Part-Time Linguistics Research Assistant

Brigham Young University

Jul 2023 - Current (3 years 2 months)

• Conducting literature review and 15 IRB-backed sociolinguistic interviews on Cantonese in Southeast Asian diasporas with Praat.

Part-Time Recruitment Specialist

CAPIO GROUP

May 2023 - Current (3 years 4 months)

• Screening technical resumes, sourcing candidates, scheduling interviews and maintaining JazzHR database and Insightly CRM.

Business/Product Analyst (Contract)

Hyundai Motor America

Apr 2023 - Current (3 years 5 months)

• Creating dashboards and ad hoc analyses with Excel, Tableau, Tableau Prep, Azure, Google Analytics, SAP, Microstrategy, Python, SQL and statistical prediction methods to track the Environmental Programs team's KPIs, reducing coding/analysis time by 40%. • Collaborating with Product and Consumer Insight teams on requests for proposals and market research with mTab and Qualtrics. • Processing and reconciling weekly invoices, payments and incentives in order to maintain budget and data integrity.

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Recruiting & Marketing Associate

Second Order Effects Engineering Consulting

Jul 2022 - Dec 2022 (6 months)

• Sourced, scheduled, interviewed and negotiated offers for engineering candidates with Greenhouse ATS and Linkedin Recruiter. • Revised interview questions, standardized take-home tests and shortened on-sites, reducing cost and time to hire by 10%. • Translated 15 hiring managers' requirements into job descriptions with inclusive language (DEIB), increasing applications by 25%. • Automated cost/time-to-hire, headcount, candidate experience, and quarterly and annual recruitment funnel metrics with Excel. • Pitched and A/B tested content on LinkedIn, Instagram and Twitter with Airtable, Buffer, Figma, Jira, Confluence and Wordpress. • Performed copywriting for the website, flyers, case studies, DEIB statement and email templates, signat

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Instructional Designer Intern

New Millennium Experiential Learning Prize

May 2022 - Jul 2022 (3 months)

• Documented PRDs and prototyped nonprofit Cantonese curriculum for ethnic minorities in Hong Kong with H5P and Wordpress. • Mapped user stories and conducted initial user acceptance testing for listening/reading comprehension modules and dialogues. • Consulted with local NGOs, SMEs and educators to adopt graded readers with Cantonese Jyutping romanization and audio. • Assisted Dr. Chaak-Ming Lau in historical tonogenesis linguistics research by transcribing Cantonese texts from 1888.

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Operations Research Analyst/Project Manager (Contract)

Unified Network Information Systems

Aug 2021 - May 2022 (10 months)

• Optimized algorithms to slot stock-keeping units by location and quantity with a team of 5, using Asana, Slack and Agile tools. • Created visual warehouse simulations in Python to compare the algorithms' performances and minimize worker path distances.

Product Manager Intern

Western Digital

May 2021 - Aug 2021 (4 months)

• Gathered requirements from international teams to organize steps for the technical team to develop a hard drive information format that allows less code changes, less search time, easier package checking rules and tracking unlimited attribute changes. • Collaborated with a test engineering program manager and technical writer to propose switching to unique individual attribute encodings rather than decoding IDs from a look-up table to ~70 employees, including directors to gain priority in future SDLCs.

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Biological Data Analysis Research Intern

EDX – HARVEY MUDD COLLEGE

May 2020 - Jul 2020 (3 months)

• Co-authored paper about deducing parameters for an agent-based and differential equations model of how locusts switch from solo foraging to swarming using time series field data with Python, Matlab and video editing and motion tracking software. • Developed Markov Model for transition rates of locusts' stop/crawl/hop phases by processing videos and cleaning data to track locusts' locations, calculating their velocities, heading directions and nearest neighbors and evaluating data collection accuracy.

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Natural Language Processing Research Intern

EDX – HARVEY MUDD COLLEGE

Jun 2019 - Jul 2019 (2 months)

• Analyzed 320K Jeopardy! questions' frequencies and games' difficulties as well as player performance statistics over time by using webscraping, numpy, pandas, matplotlib, nltk, gensim, scikit-learn and keras and visualizing a heatmap of Daily Doubles. • Created curriculum on Jeopardy! sentiment analysis, POS tagging, topic modeling, named entity recognition and random forests.

Shanni Lam

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