Lisa London, Data Scientist / Business Intelligence MBA

New York, United States, 310-***-****, ad26id@r.postjobfree.com LINKS Portfolio

PROFILE As a Data Scientist with a passion for solving complex problems, I bring a unique blend of technical expertise and business acumen to the table. With a track record of leveraging data-driven insights to drive growth and innovation, I excel in fast-paced environments where I can collaborate with cross-functional teams to achieve strategic goals.

EMPLOYMENT HISTORY

Jan 2024 — Present AI Trainer for Data Science, Outlier (Scale AI) Remote

· Train AI models by crafting and answering questions related to Data Science.

· Evaluate and rank responses generated by AI systems.

· Use expertise to assess the factuality and relevance of text produced by AI models. Nov 2023 — Present Financial Representative, Northwestern Mutual New York Optimizing clients' financial goals through comprehensive financial analysis, planning, expert advice, and tailored solutions. Recommending insurance, portfolio management, and financial services/products. Nov 2022 — Nov 2023 Associate, KPMG New York

· Developed KPI-driven Power BI dashboards to increase measurable objectives, such as increased revenue, engagement, and department efficiency for business, accounting, and tax strategies (for tech, health, travel and financial industry clients).

· Automated and streamlined data processes with Alteryx, based on client requirements to optimize workflows for industry reporting and decision making.

· Recognized as a finalist in the KPMG hackathon for "Future of Work" initiatives. Jun 2022 — Aug 2022 Intern, KPMG New York

Developed dashboards, Alteryx workflows and reported insights. Clients included Google and Microsoft. Apr 2021 — Jun 2022 Audience Intelligence Analyst, RPA Remote

· Developed ML models for conversion propensity and customer segmentation.

· Optimized ad spend with web and campaign analytics; led to incremental lift in QSVs and conversions.

· Reported ad-hoc consumer analyses for Viking Cruises, La-Z-Boy, Farmers Insurance, Edison and Honda's TV, digital advertising campaigns.

Nov 2015 — Sep 2021 Digital Content Producer, Academy of Art University San Francisco

· Established customer analytics reporting on YouTube viewers for marketing strategy.

· Implemented department process improvements. Oversaw database management. EDUCATION

Jan 2020 — Jun 2023 MBA and MS Applied Data Science, Syracuse University Syracuse Graduated with 3.7 GPA

Jan 2020 — Jun 2021 Business Analytics Program Certificate, Harvard University Cambridge Aug 2005 — Jun 2009 BA in Communication Studies, Loyola Marymount University Los Angeles SKILLS Adaptability, Communication

Alteryx Designer and Microsoft

Azure Cloud Certified

Visualization, Storytelling

Microsoft Office, PowerPoint,

Excel

Tableau, Power BI

SQL, R, python

NumPy, Scikit-learn, Matplotlib,

TensorFlow, PyTorch

Text Mining, SVM, Linear

Regression

Machine Learning

Statistical Analysis

DATA SCIENCE PROJECTS

Jan 2024 — Present AI Training Outlier (Scale AI) Remote Train AI LLM models for Alphabet.

Apr 2021 — Jun 2022 Data Analysis/Science RPA Remote

· Developed customer propensity and SVM models predicting likelihood of audience performing QSV actions or making a purchase.

· Led and developed customer segmentation ML project for Southern California Edison's CRM database to identify customer groups for targeted marketing.

· Presented data science findings and recommendations.

(languages/programs: R, Excel)

Jan 2021 — Jun 2023 Databases & Models Syracuse University Remote

· Built relational database; normalized data, developed physical design and schema, developed advanced queries and added data security.

· Developed image recognition for bee species detection.

· Performed feature engineering and selection (transformation, binning), model optimization, testing and validation.

· Developed and deployed supervised and unsupervised ML models: Random Forest, XGBoost, and GBM tree models, deep learning, neural network, and associate rule mining.

· Implemented machine learning algorithms for classification, regression, and clustering.

· Developed a portfolio optimization model using R to analyze and select the optimal combination of stocks for a wealth management portfolio, based on risk.

· Developed text-mining model to detect author, category, and sentiment of documents.

· Developed LDA and Mallet models for topic modeling.

(languages: SQL, R, python - Matplotlib, scikit-learn, NumPy) HOBBIES Snowboarding, Board Games, Yoga, and Hiking

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