deep learning, and data science to students of varying technical backgrounds, utilizing interactive lectures, live coding, group discussions, and hands-on exercises to promote active learning. - Create and refine course content, including lectures, assignments, and projects, to effectively convey complex concepts and techniques to students and incorporate real-world use cases and datasets. - Foster a supportive and collaborative learning environment that encourages students to ask questions, share ideas, and collaborate on projects.

Modal | Aug 2022 - Present

Data Science Instructor

N/A

Squirro | Feb 2022 - Jul 2022

Solutions Engineer

• Integrated semantic ontology contexts provided by a large Chemical Manufacturing company into a Python ML/AI Pipeline • Deployed advanced ML Workflows (Python and Document-based ML Models) for our clients in a production environment using the Squirro platform, NLP tools, and ML Pipeline • Created Data Loading pipelines for batch loads of RSS News Feeds and NY Times API using Python • Provided extensive customer support for a large electronic manufacturing company using Squirro (python) and Document/Asset Management System

General Assembly | Oct 2021 - Feb 2022

Data Scientist

Successfully completed 500+ hours of expert-led instruction Data Science & Machine Learning, with hands-on learning of Python, SQL, and UNIX, and the industry's most in demand technologies. Developed projects, including: • Project: "The Power of Using Data for Making Pivotal Life Decisions" - College and Major recommendations by SAT Score for High School Students • Skills: Python, Pandas, Numpy, Matplotlib, Seaborn, Data Cleaning, Exploratory Data Analysis, Visualization • Project: Multi-parametric Housing Price Regression Analysis of Ames Housing Data • Skills: Python, Pandas, Numpy, Seaborn, Matplotlib, Data Cleaning, EDA, Linear Regression, Model Evaluation • Project Name: Reddit Web Scraping for Classification of r/personalfinance and r/CSCareerQuestions Skills: Python, PushShiftAPI (), CountVectorizer, Sklearn Pipelines, GridSearchCV, Web Scraping, Data Cleaning, EDA, Natural Language Processing, ML Classification • Project Name: Capstone Project - Music Recommender System • Skills: Python, ML Recommender Model, Pandas, Sklearn, Flask, REST API, Data Cleaning

Nine One Project | Aug 2019 - Oct 2021

Vice President

• End-to-end product and service development for B2B and B2C Solution • Led team collaborations for go-to-market strategy and market communication using social media tools • Designed and developed in-depth curriculum for clients for 8-week transformation • Collaborated on systemic out-of-the-box methodologies to impact personal transformation

IBM | Sep 2016 - Jun 2019

Lead Data Scientist

• Built and led a new AI technical offering that saved costs (thousands of dollars) by serving as both subject matter expert and data scientist on consulting projects • SOW Development and project scoping for 1+ Million Dollar Client deals in the Healthcare and Pharmaceutical Industry • Served as a liaison between the technical software, sales, and client teams to ensure success on sales and delivery of AI projects > $1 million in revenue • Delivered insights of ~5 novel discoveries of drug targets using Watson AI in heretofore untreatable medical conditions within 8-10 week pilot projects with sales teams • Helped accelerate insights for top Medical Hospitals and Pharmaceutical clients by reducing target discovery timeline from 7 years to 9 weeks using Machine Learning

IBM | Sep 2014 - Sep 2016

Watson Health Machine Learning Engineer

• Development and Implementation of large scale cognitive solutions with Industry leaders in Pharmaceutical and Healthcare industries. • Big Data Solution Engineer for partners using large amount of published biomedical research data • Using Data to connect the dots in the human genome in order to accelerate Drug Discover, Drug repurposing, alternative treatment recommendation, etc. • Translated customer specifications and deployed cognitive solutions for business intelligence with a turnaround time of 2 weeks for sales and 8 weeks for clients. • Built NLP and ML solutions for Watson AI that enhanced testing accuracy and precision scores by 40% • Deployed production-level code for an AI product offering within 3 months

Varsity Tutors | Sep 2013 - Aug 2014

Elite tutor

- Customized one-on-one tutoring for students of all ages. K-12, college in math/science subjects. - Subjects tutored: Algebra, Geometry, Calculus, Physics, Chemistry, Biology, and Organic Chemistry - Test prep: SAT, SATII, AP, GRE, and MCAT

UCSF | Jan 2012 - Sep 2013

Brain Cancer Research Associate

- Developed new MRI acquisition methods looking at statistical kurtosis of Diffusion weighted images (DWI) - Scanned clinical patients and coordinated UCSF Neurosurgery and Radiology research interactions - Created semi-automated segmentation algorithm to define ROIs on anatomical MRIs using MATLAB - Analyzed brain tumor imaging data of pre-clinical murine models to determine treatment efficacy using new imaging biomarkers - Completed written thesis detailing the procedures and analysis of this imaging data

UC Berkeley | May 2011 - Aug 2011

Bio-inspired Mechanics Research

- Analyzed biomechanics data of lizard tail moment using high speed motion capture - Modeled biomechanical motion in advanced volumetric modeling software

UCSF | Sep 2010 - Feb 2011

UCSF Vascular Imaging Research

- Analyzed patient vascular MRI imaging data with computational biology - Determined key parameters by designing a MATLAB program to interface with DICOM image data

My Education

Take a look at my formal education

Master's Degree, Biomedical ImagingUniversity of California, San Francisco | 2012

Bachelor's Degree, Bioengineering and Biomedical EngineeringUniversity of California, Berkeley | 2011

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