Experience

Samsung Next

• United States
• Venture Capital and Private Equity Principals
• 100 - 200 Employee

• Data Scientist

  • Aug 2019 - Present



Galvanize Inc

• United States
• Higher Education
• 200 - 300 Employee

• Data Science Resident

  • Feb 2019 - Jul 2019

  • Selected from a cohort of peers as a TA/Resident for Data Science Immersive Program• Trained candidates transitioning into Data Science by leading Python, Statistics, and Machine Learning sessions and implement best practices encouraging concise code and documentation while addressing programming and version control issues• Hosted timed coding drills combining Machine Learning algorithms, Software Engineering concepts, and critical thinking• Guided candidates through thesis planning as well as advise on model optimization, establishing evaluation metrics, and communicating final results to a diverse audience• Led an introductory class in Python for candidates interested in Data Science Show less

• Data Science Immersive

  • Aug 2018 - Jan 2019

  • [Capstone] Partnered with Gracenote-Nielsen to create a KMeans and LDA topic model employing sentiment analysis to provide latent business insights about archived closed caption data. This model has down-stream applications to recommender systems, auto-tagging, increasing viewership, and brand awareness to businesses present in the archives• Created a revenue prediction model on Fin-Tech data using customer metadata and conversion status to predict revenue increase from each new interaction. This Random Forest model performed 5x better than a baseline average• Deployed an online predictive model to flag fraudulent postings on a popular events ticketing website using NLP, Naïve Bayes, and Gradient Boosting algorithms. Evaluated model via precision and recall to reduce false positive rate of imbalanced dataset• Projects: Entertainment Data - Unsupervised Learning and Sentiment Analysis Model, Fraud Detection Web App, Movie Recommendation Engine, Ride-Share User Churn Model, Price Prediction Algorithm, A/B Testing User Click-Through Rate• Academic and Industry projects leveraging Python, SQL, and NoSQL, covering statistical modeling, implementation and application of machine learning algorithms (regression, classification, ensemble methods, clustering, time series, NLP, recommender systems), data mining, software engineering principles, and working with data at scale.• Tools: Python (pandas, numpy, scikit-learn, statsmodels, scipy, matplotlib, nltk, beautifulsoup), SQL, Linux, Git, PsycoPG2, MongoDB, Spark, AWS, GCP Show less



Stanford University

• United States
• Higher Education
• 700 & Above Employee

• LS Research Professional

  • 2014 - Aug 2018

  • Established a client-friendly reproducible Linear Regression workflow which can be easily implemented on any gene expression profile to validate Next Generation Sequencing data • Composed a Python script to convert incoming data from various sources into an analysis ready format which reduced operation time by 30 minutes • Developed a CRISPR gRNA identification method to target molecules with optimized gene editing specificity and reduced off-target effects • Researched and strategized with clients in experimental design and customized pilot studies • Managed Genomics QC team by organizing technician schedules and allocating resources, and single handedly managed DNA Sequencing and Gene Expression services all together generating ~20% annual revenue of internal research core Show less



University of California, San Francisco

• United States
• Higher Education
• 700 & Above Employee

• Internship/Research Associate

  • Jun 2011 - Jul 2013

  • Developed an image classifier for abnormal CT/X-ray images via open-source Linux packages, authored and published results in peer-reviewed journals • Established a statistical classification and scoring system to investigate correlation between T2Diabetes and intervertebral disc degeneration, published in peer-reviewed journals (http://bit.ly/albertolovell_publications) • Developed an image classifier for abnormal CT/X-ray images via open-source Linux packages, authored and published results in peer-reviewed journals • Established a statistical classification and scoring system to investigate correlation between T2Diabetes and intervertebral disc degeneration, published in peer-reviewed journals (http://bit.ly/albertolovell_publications)



Genentech

• United States
• Biotechnology Research
• 700 & Above Employee

• Research Associate

  • 2011 - 2012

  • Employed a method to buffer monoclonal antibodies focusing on key therapeutics including Herceptin, Avastin, and Activase • Employed a method to buffer monoclonal antibodies focusing on key therapeutics including Herceptin, Avastin, and Activase



University of California, Davis

• United States
• Higher Education
• 700 & Above Employee

• Protein Biochemistry Intern

  • Jan 2010 - Sep 2010

  • Investigated and synthesized CTP-Synthase, a key target for therapeutics treating African Trypanosomiasis which affects 60-70M people worldwide • Investigated and synthesized CTP-Synthase, a key target for therapeutics treating African Trypanosomiasis which affects 60-70M people worldwide