Hi there, I'm Shif 🀝

I'm a Data Scientist,

Technical Writer, and

Support Engineer

About Me

Shifra Isaacs

(she / they)

Data Scientist | Technical Writer | Support Engineer

I'm looking to utilize my programming, writing, and business skills to make a positive impact via data, analytics, and education. I've built my career through the following experiences: technical support at Sigma Computing, client-facing data science at Annalect and JPMorgan Chase, technical writing at Crash Course and DataLemur, and analytics reporting at Prose.


When I'm not programming, you'll find me writing, cooking, listening to music, spending time with friends, or planning my next trip. Thanks for taking the time to learn more about me :)

Location

San Francisco Bay Area, USA

Experience

3+ Years

Experience

Sigma Computing

Technical Support Engineer

May 2024 – Current

● Maintaining < 1 minute response time and 96% customer satisfaction while troubleshooting client issues over live chat

● Providing analytics, data modeling and visualization, and SQL query optimization consultations to specialized clients

● Partnering with engineering and product teams to gather customer feedback, collect feature enhancement requests, and report complex bugs

Technical Support

Data Analytics

Data Engineering

Software Engineering

Business Intelligence

Consulting

Annalect | Client: Nissan

Data Scientist

January 2023 – May 2024

● Achieved $750K savings by developing methodology to diagnose and QA discrepancies in CPM pricing

● Facilitated million-dollar marketing pitches through efficient data ETL, securing high-value contracts

● Leveraged logistic regression machine learning modeling to build custom Nissan marketing audiences

● Automated first-party Nissan sales data load using Python, achieving a 92% reduction in lead time

● Owned and leveraging B2B data with 250M rows in Redshift, delivering targeted marketing audiences

● Led Confluence documentation of new processes and maintenance of existing datasets and scripts

● Desiged Tableau dashboards to track MoM Nissan model market demographics and uncover insights

● Managed client expectations, translating business needs into data solutions that drive team decisions

Data Science

Machine Learning

Data Analytics

Data Engineering

Marketing

Consulting

Technical Writing

Crash Course (Complexly)

Technical Script Writer

November 2022 – November 2023

● Collaborated with YouTube and Arizona Statue University to write 9 episodes of Crash Course Study Hall: Intro to Java Code and Programming For Beginners, hosted by Sabrina Cruz

● Crash Course Playlist Link:

https://www.youtube.com/watch?v=yBFu9HxiD88&list=PLID58IQe16nFgbHGRCj5QEXKUpVIilpDN&index=29

Technical Writing

Software Engineering

Education

Torpedo Software LLC

Educational Curriculum Designer

January 2023 – Present

● Designing curriculum and writing lessons for Lua Learning, an award-winning Roblox game with 4.4M+ visits and 115K monthly active users

● Lua Learning Link: https://www.roblox.com/games/1334669864/Lua-Learning

Technical Writing

Software Engineering

Game Development

Education

DataLemur.com

Technical Writer & Product Manager

August 2022 – January 2023

● Supported author Nick Singh’s data science platform and achieved 100K+ users within 10 months

● Documented, tested, and improved 200+ SQL and mathematics problems, solutions, and hints

● Instituted metadata tagging system and SQL style conventions to standardize the platform

Technical Writing

Data Science

Data Analytics

Product Management

Education

JPMorgan Chase & Co.

AI & Data Science Summer Analyst

June 2022 – August 2022

● Leveraged XGBoost algorithm in Python to improve wallet estimation regression model by 94.1%

● Won 2022 Housing Affordability Challenge among 140 interns by implementing PCA and projecting HPI

● Conducted literature review to research machine learning methods and strategies for wallet estimation

Data Science

Machine Learning

Finance

Prose

Growth Data Analyst Intern

January 2022 – May 2022

● Built last-click attribution model in BigQuery to track $40M annual marketing spend across channels

● Automated Looker dashboard based on attribution model to report WoW and MoM channel metrics

● Tested gift products to determine their impact on customer churn and drive stakeholder decisions

Data Analytics

Marketing

Podium Education

Data Programming Team Lead

May 2023 – August 2023

● Facilitated classroom instruction to college students, teaching introductory SQL, Tableau, and Python for practical data science

● Graded weekly coding assignments and final projects for a diverse cohort of 60+ students, demonstrating strong organizational skills

● Provided personalized one-on-one guidance during office hours to address individual learning needs

Data Analytics

Data Science

Education

Cross River Bank

Data Technology Analyst Intern

June 2021 – August 2021

● Created Capacity Planning Model to streamline project costing for the entire IT department

● Developed multinomial logistic regression model for loan classification in Python

● Presented accomplishments throughout summer internship to CEO and C-Level managers

Data Science

Machine Learning

Finance

Business Intelligence