Robert is available for hire
Hire RobertRobert Manriquez
Verified Expert in Engineering
Data Visualization Developer
Location
Los Angeles, CA, United States
Toptal Member Since
June 22, 2020
Robert is a data scientist with skills in engineering practices with data. He builds end-to-end data products using "full-stack" data science bringing ML, ETL, and BI/analytics reporting from prototype to production on cloud infrastructure. Robert works closely with clients and stakeholders to translate business needs into solutions with Python, SQL, Spark, AWS, and GCP tools. He is passionate about education and teaching data science, machine learning, and statistics topics.
Portfolio
Tectonic
Kubernetes, Docker, JavaScript, CSS, HTML, Flask, Looker...
Emeritus Institute
Jupyter, Scikit-learn, SQL, Python
Return Path
Amazon Web Services (AWS), Apache Airflow, Jenkins, Git, TensorFlow...
Experience
Availability
Part-time
Preferred Environment
Jupyter, PyCharm, G Suite, Slack, MacOS
The most amazing...
...project I've worked on was a terabyte-scale AI platform serving 200+ customers daily.
Work Experience
Data Engineer
2019 - 2020
Tectonic
- Solved client business problems on $2 million worth of contracts using data models, warehousing/ETL, and data analysis.
- Designed and deployed ETL pipelines to collect, ingest, store, and retrieve data effectively.
- Built, designed, maintained back-end cloud infrastructure, and containerized applications (GCP, Docker, and Kubernetes) .
- Quickly architected solutions closing out three major projects using Agile methods and software engineering best practices.
- Developed custom web applications delivering live performance analytics directly to executive and marketing teams.
- Implemented front-end frameworks (Flask/HTML/CSS/JavaScript) and business intelligence reporting (Looker).
Technologies: Kubernetes, Docker, JavaScript, CSS, HTML, Flask, Looker, Google Cloud Platform (GCP), MySQL, PostgreSQL, Python
Data Science Course Leader
2018 - 2019
Emeritus Institute
- Taught applied data science to four cohorts consisting of over 200 students, responsible for retaining over $200,000 in tuition.
- Delivered five custom webinars on machine learning, statistics, and mathematics tailored according to student needs.
- Ensured student understanding of analytics methodologies, hypothesis testing, computer science, programming, and SQL.
Technologies: Jupyter, Scikit-learn, SQL, Python
Data Scientist II
2018 - 2019
Return Path
- Improved and maintained dynamic optimization AI models enhancing email deliverability to over 300 customers daily.
- Quantified performance metrics identifying >$150,000 in Snowflake costs savings and 2x increase data preprocessing speed.
- Developed terabyte-scale data ETL, improving model training job success rate by 50% (Snowflake, Spark, Airflow, AWS).
- Guided business decisions and strategy directly to project management and leadership closing out six quarterly objectives.
- Collaborated with senior data scientists, engineers, and Agile methodologies for rapid iteration, validation, and evaluation.
Technologies: Amazon Web Services (AWS), Apache Airflow, Jenkins, Git, TensorFlow, Scikit-learn, Jupyter, Snowflake, SQL, Scala, Spark, Python
Data Science Instructional Associate
2018 - 2018
General Assembly
- Supported 75+ students in teaching Python, Data Science, Git, and machine learning fundamentals.
- Led student discussions ensuring student understanding via 1-on-1 sessions.
- Identified difficult topics and creating additional course content for struggling students.
- Translated difficult technical topics into accessible and meaningful terms.
- Analyzed and troubleshot student coding assignments and projects.
Technologies: Jupyter, Scikit-learn, Git, SQL, Python
Data Scientist
2018 - 2018
CenturyLink
- Improved performance of deal prediction model by 20%, generating $50,000+ in additional sales in three months.
- Developed asset clustering and segmentation models to automate sales prospecting, saving 10 hours/week in labor.
- Revamped legacy ETL into Databricks/Azure cloud, and built dashboards directly serving executive and marketing teams.
- Prototyped, improved, and managed supervised/unsupervised machine learning models in production (Python, R, SparkML).
Technologies: Scikit-learn, Databricks, Azure, R, Spark, Python
R&D Engineer II
2014 - 2017
Next Energy Technologies
- Achieved major contributions to research completing two NSF milestones and securing $7 million in Series B funding.
- Guided research and strategic decisions to leadership via data analysis, technical presentations, and data story-telling.
- Optimized production and research protocols, implemented best practices for analyzing data.
- Managed four junior engineers and interns; assumed responsibility for maintaining lab resources.
Technologies: Mathematica, LabVIEW, MATLAB, Python
Experience
Email Read Rates
https://github.com/robertmanriquez/return_path_read_rates_modelUsing a sample of email event data, I created an approach and several models to predict read rates of emails based on events and subscriber engagement. This consisted of creating a modular, version-controlled codebase using Python and Scikit-Learn. Analysis and modeling were described and quantified in a concise report.
Skills
Other
Data Analysis, Research, Machine Learning, Data Visualization, Data Engineering
Languages
Python 3, SQL, Python, Scala, R, HTML, CSS, JavaScript, Snowflake
Frameworks
Spark, Flask
Libraries/APIs
TensorFlow, Scikit-learn
Tools
Git, Looker, Tableau, Slack, G Suite, PyCharm, Jupyter, Jenkins, Apache Airflow, MATLAB, LabVIEW, Mathematica
Paradigms
ETL, Data Science
Platforms
Google Cloud Platform (GCP), Docker, Kubernetes, Amazon Web Services (AWS), MacOS, Azure, Databricks
Storage
PostgreSQL, MySQL
Education
2013 - 2014
Master of Science Degree in Materials Science and Engineering
University of California, Santa Barbara - Santa Barbara, CA
2010 - 2013
Bachelor of Science Degree in Chemistry
University of California, Santa Barbara - Santa Barbara, CA