Paul Torres work email
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Paul Torres personal email
Data scientist and former weather lab researcher with strong machine learning, data analysis, and leadership experience. I'm always excited to learn about businesses whose focus is team growth and advancements in programming. If your core focus is to ensure you have a team of stronger workers who excel in their roles, let's talk! Now for the technical stuff: I have a special love for diving into novel problem spaces to solve real-world problems through innovation. I value clean, simple code that can be run to achieve peak performance. I've most recently used clustering to develop an unsupervised machine learning algorithm to detect gentrified neighborhoods in New York City that resulted in interactive dashboards. These dashboards allowed users to understand why the algorithm determined whether a neighborhood was changing at a faster than normal pace or not. My passion in a project is driven both by my personal interests and the difficulty/novelty of the situation. I have experience with SQLite, MYSQL, and NoSQL for database management, Python packages like Numpy, Scipy, Scikit-Learn for data analysis and data pipelines, AWS Sagemaker for serverless computation, as well as Tableau for frontend dashboards. Most importantly, I love learning new technologies. Data science fuels my drive to get my hands dirty and hit the ground running on any project, by understanding and fine-tuning how all the pieces fit together most smoothly for a seamless model.In a prior life as a weather researcher, I initiated visualizations and time series modeling to present findings to a research group. These actions allowed lead investigators to extrapolate findings on climate change. As a data scientist, I draw on this collaboration and technical experience to excel in cohesive teams and build scalable, effective models that solve exciting problems.When I'm not doing machine learning, I can be found reading, bicycling, urban exploring, hiking, backpacking, and walking my hound puppy. Feel free to reach out! I am always available and excited to chat about tech, teaching physics, cool places to travel to, or just to say hello!
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Senior Data Scientist ICarta May 2024 - PresentSan Francisco, California, Us -
Data Scientist Iii - Growth DomainStash Oct 2022 - May 2024New York, Us- Redesigned analytics data layer resulting in a 60% decrease in run time and a 30% decrease in daily AWS costs- Led analysis of new onboarding system, which required: * custom AB testing pipelines to account for restrictive front-end requirements * built clear and concise visualizations for consecutive tests where variant groups often interacted * advised engineering and product partners on the quality data best practices- Created a new attribution system that used last touch attribution and made allowances for new privacy restrictions for iPhone users that enabled the company to allocate marketing resources efficiently- Conducted deep data analysis on user cohorts, finding that depositing users have a 7x longer lifespan on the platform than those who only completed their account, leading to a shift in marketing strategy. -
Data Scientist - Growth Marketing/Paid AcquisitionStash Apr 2022 - Oct 2022New York, Us- Oversee acquisition data science needs — including data infrastructure, stakeholder-facing dashboards, and analysis- Helped rewrite attribution model to use last touch instead of waterfall touch points- Drafted, designed, and executed the release of a self-service curriculum for data education company-wide
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Data Scientist - Product Marketing/PrStash May 2021 - Apr 2022New York, Us- Led data science analytics for product marketing to drive and report activation and retention metrics- Brainstormed and led the investigation into decreased messaging numbers — increasing activation rates as a result- Launched investigations that led to rewriting of security rules and gave 20k+ users access to the platform- Designed and completed an overhaul of messaging data to help speed up the evaluation of marketing campaigns- Conducted weekly data tool lessons for product managers to help learn self-service data needs- Oversaw data management for crypto launch for Robo Invest on the platform and delivered causal impact analysis
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Data ScientistSelf-Employed Oct 2020 - May 2021- Developing an application that reads a PDF and auto-fills out a form to be used transforming medical reports into tabular data- Created a clustering algorithm that identified food deserts in New York City
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Data ScientistGentrification Cluster Algorithm (Project) Sep 2020 - Oct 2020• Gather census and ACS data from 2000, 2008, 2010, and 2012 that includes income, housing, and ethnic demographic data• Calculated percentage and percent changes for the representative data• Ran clustering algorithms to find which subset of features explained the most variance and which clustering algorithm created the tightest clusters with the highest silhouette score• Visualized clusters with Tableau software to compare with criteria set by academic papersTech Stack:• Pandas• SQL• PostgreSQL• SciKit-Learn• KMeans Clustering• Tableaugithub.com/ptorres001
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Data Science Immersive StudentFlatiron School Jun 2020 - Oct 2020New York, New York, UsComplete 15-Week of intensive training to develop a theoretical and practical understanding of programming, statistical analysis, machine learning, and deep learning.Select projects include ...0. MLB Salary Predictor (Linear Regression, RFE, VIF, Data Collection, Feature Engineering)1. Pneumonia Image Classification (CNN, PCA / Eigenimages, TensorFlow, Keras)2. NYS Health Insurance Classification (Lasso Regression, kNN, Decision Tree, Random Forest Classifier, XGBoost, Voting Classifier, Feature Engineering, Pipeline)3. Beijing Pollution Level Predictor (SARIMA, Facebook Prophet, LSTM, Plotly)4. Neighborhood Gentrification Clustering Identification (KMeans, PCA, KNN, Hierarchical Agglomerative Clustering)5. Credit Card Default Prediction (Logistic Regression, kNN, Random Forest, XGBoost, Feature Engineering) -
Data ScientistHealth Insurance Classification (Project) Aug 2020 - Sep 2020• Worked with 2010 Census Data in an effort to correctly classify whether a person was covered by health insurance in New York State• Preprocessed data to differentiate between continuous and categorical data• Tested different models during cross validation in order to find the best model to predict the coverage standing• Deployed best model on data from Alabama to inspect how it would perform in a place where the health care policies were very differentTech Stack:• Python• XGBoost• Tableau• Light Gradient Boosting Machine• Random Forest Classifier• Logistic Regressiongithub.com/ptorres001
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Data ScientistMlb Rookie Salary Predictions Jul 2020 - Sep 2020• Used baseball statistics from 2000-2019 to predict what a rookie's salary would be after arbitration• Combined several datasets that included batting statistics, pitching statistics, vitals, and awards• Engineered advanced statistics that would be helpful to predict salary• Ran different linear regression models with feature selection attributes that would eliminate colinear features and those that did not contribute to explaining variance• Future plans include using metrics used by scouts like pitch velocity, run speed, etcTech Stack:• Pandas• SQL• PostgreSQL• SciKit-Learn• Linear Regression• Lasso CV• Gradient Boosting Regressor• Dummy Regressor• Tableaugithub.com/ptorres001
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ResearcherNoaa-Crest Jun 2018 - May 2020• Created time series for meteorological events like high-pressure systems• Work included data from NOAA in order to model weather system behaviors.• Univariate time series to determine geopotential height during weather phenomena • Worked on a research team that required communication and collaboration. • Took the lead on data cleaning and initial visualizations for Exploratory Data AnalysisTech Stack:• Matlab• Machine Learning• Time Series
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Colin Powell FellowColin Powell Fellowship Aug 2017 - Jul 2019Organized independent research on community level issues that often included local groups. Partnered with local health and education groups to better learn about the needs of their constituents. Created a health initiative in response to the community input that would better educate and source healthy foods.
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Peer Leader - General ChemistryCity University Of New York Aug 2016 - Jul 2017I worked alongside professors in the classroom, helping demonstrate problems and solutions. Outside of the classroom I ran my own recitation sessions in which I instructed students on ways to view and solve problems.
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Cuny Foundation Grant Research AssistantResearch Foundation Of The City University Of New York Jun 2016 - Jul 2017Located sources and summarized notes for historical research with lead investigator. Analyzed and interpreted research for clear summary in order to use information for main writing project and my own paper that was presented at conferences.
Paul Torres Education Details
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Flatiron SchoolData Science -
Cuny City College Of New YorkPhysics
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Cuny Hostos Community CollegeGeneral Studies And Humanities
Frequently Asked Questions about Paul Torres
What company does Paul Torres work for?
Paul Torres works for Carta
What is Paul Torres's role at the current company?
Paul Torres's current role is Senior Data Scientist.
What is Paul Torres's email address?
Paul Torres's email address is pt****@****est.com
What schools did Paul Torres attend?
Paul Torres attended Flatiron School, Cuny City College Of New York, Cuny Hostos Community College.
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