Lauren F
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Client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal vetting rating.
Client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal vetting rating.
Data Scientist Preferred Title
$31.25 /hr $ 50.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Average Response Time 12.0 hours
- Average Count of Messages/Day 0.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 50h PST, 35h UTC
- Code Quality 60%
- Soft Skill Attributes 60%
- Expertise 2/3
- Coding Challenges 60%
- No. of Lifelong Learning Projects 2
- No. of Coding Challenges Completed 2 More details
- Software Engineering Process 2.0/5
- Technical Breadth 3.0/5
- Algorithmic Thinking 4.0/5
- Technical Strength 3.0/5
- Teamwork 2.0/5
- Intellectual Merit 4.0/5
- Desktop Mac
- Phone Android
- Member Since Jun 08, 2021
- Profile Last Updated Jun 10, 2021
- Last Activity Jan. 1, 2022, 12:10 a.m. UTC
- Location United States of America
Profile Summary
Data Scientist based in the Bay Area with background in using machine learning algorithms for data science solutions. Knowledgeable in data storage and manipulation practices using SQL and python. Creates visualizations and dashboards using technologies including google data studio, tableau, plotly and seaborn. Experienced in deploying data science applications to Heroku using flask and making publicly accessible visualization dashboards.
Skills
Total Experience: 3+ years
Data visualization (2E, 2Y)
2 experiences, across 2 yearsData Analytics (2E, 2Y)
2 experiences, across 2 yearsR for Statistics (1E, 2Y)
1 experience, across 2 yearsPandas (3E, 1Y)
3 experiences, 1 yearGit (2E, 1Y)
2 experiences, 1 yearSQL (2E, 1Y)
2 experiences, 1 yearMachine learning (2E, 1Y)
2 experiences, 1 yearPlotly (2E, 1Y)
2 experiences, 1 yearFlask (2E, 1Y)
2 experiences, 1 yearData Engineering (1E, < 1Y)
1 experience, less than a yearTableau (1E, < 1Y)
1 experience, less than a yearData Science (1E, < 1Y)
1 experience, less than a yearApache Spark (1E, < 1Y)
1 experience, less than a yearscikit-learn (1E, < 1Y)
1 experience, less than a yearPython (1E, < 1Y)
1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 50h PST, 35h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
15 - 20
15 - 24
15 - 24
15 - 24
15 - 24
15 - 24
PST
07 - 12
07 - 16
07 - 16
07 - 16
07 - 16
07 - 16
Vetting
- Interview Data
- Agile Development Process
- Productivity and Responsiveness
- Teamwork
- Software Engineering
- Logical Thinking
- Technical Strength
- Intellectual Merit
- English Communication
- Documentation
- System Design
- Coding Challenges60%
- Algorithms Score60%
- General Score60%
- Easy Algorithm
- Correctness60%
- Performance60%
- Medium Algorithm
- Correctness60%
- Performance60%
- Hard Algorithm
- Correctness60%
- Performance60%
- Expertise2/3
- Design Patterns and Architectures2/3
- Debugging2/3
- Stack Traces2/3
- Testing2/3
- System Administration2/3
- Soft Skill Attributes60%
- Entrepreneurial60%
- Whole Brained60%
- Divergent Thinking / Creativity60%
- Design Ability60%
- Empathy60%
- Project Management Ability60%
- Security60%
- Code Quality60%
- Complex Logic60%
- Models60%
- Controllers60%
- Templates60%
- APIs60%
- Training/Testing Data Models60%
- Code Readability60%
- Ongoing Evaluation
- Number of Lifelong Learning Project2
- Number of Coding Challenge Completed3
Experience
Data Science Fellow
Internship
Apr 2021 - Aug 2021
Correlation One Company
Biotechnology Industry
Project: Projecting Case Counts
- SQL
- Flask
- Pandas
- Plotly
- Git
- Led a team of 7 doing time series forecasting on cases of infectious diseases using machine learning algorithms in Python
- Collaborated within github repositories, merged branches and assisting others in making version controlled contributions
- Manipulated data using Pandas package and SQL, creating visualizations in Plotly for dashboard hosted on Heroku with Flask
Data Science Consultant
Internship
Jan 2021 - May 2021
ViviendasLeon Company
Food and Agriculture Industry
Project: Crop Classifier
- Machine learning
- Data Engineering
- Flask
- Pandas
- Data Science
- Tableau
- Developed and maintained client relationships by translating business requirements to data science solutions.
- Improved farming outcomes by building a machine learning classifier to predict the crops that would perform best based on client inputs. Deployed model with flask on Heroku.
- Maximized volunteer farming data learnings by creating Google Data Studio dashboards supplemented with Tableau visuals.
- Manipulated data in Pandas, merging multiple data sources acquired & modified by data engineering
Volunteer Analyst
Passion Project
Nov 2020 - Jan 2021
Code for America Company
Research Industry
Project: Police Budget
- Data Analytics
- Pandas
- Data visualization
- Plotly
- Python
- Data analytics and manipulation of data using Pandas
- Created visualization in Python package Plotly for budgeting data visualization dashboard
Data Scientist
Internship
Jun 2020 - Sep 2020
Metis Company
Technology Industry
Project: Summer Fellowship
- Apache Spark
- scikit-learn
- SQL
- Machine learning
- Git
- Participated in a 13 week fellowship completing 5 data science projects on a range of topics
- Stored big data sources on Google Cloud Platform, accessed using Apache Spark and SQL queries
- Forecasted time series data with scikit-learn using machine learning algorithms linear regression, arima and vector auto regression
- Committed and collaborated on repositories using Git Hub version control
- Used natural language processing to perform topic modeling and analysis of cluster visualizations from crowdsourced data at onset of 2020 pandemic
Owner and Analyst
Employment
Jul 2018 - Mar 2020
Connection Massage Company
Healthcare Industry
Project: Analyzing Patient Trajectory
- Data Analytics
- Data visualization
- R for Statistics
- Programmed in R for Statistics analysis of patient spinal alignments at chiropractic office
- Manipulated data for Data Analytics to be HIPAA compliant
- Data visualization of time series patient spinal alignment trajectories using ggplot in R
- Assessed process of early patient scheduling methods
Qualifications
Education
City College of San Francisco
Jan 2019 - May 2022
Statistics