Daniel Blessing
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Daniel Blessing Email & Phone Number

Data Science Master's Graduate | Passionate about Tackling Diverse Projects & Challenges
Location: San Francisco Bay Area, United States, United States 9 work roles 3 schools
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Role
Data Science Master's Graduate | Passionate about Tackling Diverse Projects & Challenges
Location
San Francisco Bay Area, United States, United States

Who is Daniel Blessing? Overview

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Daniel Blessing is listed as Data Science Master's Graduate | Passionate about Tackling Diverse Projects & Challenges based in San Francisco Bay Area, United States, United States. AeroLeads shows a matched LinkedIn profile for Daniel Blessing.

Daniel Blessing previously worked as Data Scientist (Contract) at Corteva Agriscience and Machine Learning Researcher at Stanford University. Daniel Blessing holds Master'S Degree, Data Science, 3.88/4.0 from University Of San Francisco.

Profile bio

About Daniel Blessing

As a Master's graduate in Data Science, I am an adaptable and impactful problem solver. My passion for emerging technologies has led me to excel in various short-term, independent projects, showcasing my versatility and commitment to delivering results. I have built a solid foundation in tackling diverse challenges across multiple industries, continuously refining my skills and expanding my knowledge. I am enthusiastic about collaborating with forward-thinking teams and individuals to create data-driven solutions, embracing new opportunities, and contributing to the growth of the blockchain ecosystem.

Listed skills include Statistics, Leadership, Engineering, Probability Theory, and 16 others.

9 roles

Daniel Blessing work experience

A career timeline built from the work history available for this profile.

Data Scientist (Contract)

San Francisco, California, United States

  • Developed a deep learning computer vision model to identify whiteflies on leaves, enhancing pest detection and improving crop protection.
  • Collaborated with the crop protection team to develop evaluation metrics and photography practices to streamline pest detection processes.
Sep 2022 - Dec 2022

Machine Learning Researcher

Stanford, California, United States

  • Implement 2D and 3D multi-modal U-Net convolutional neural network with PyTorch
  • Train deep learning models on over 1.4 TB of 3D MRI volumes
  • Utilize deterministic models with Neptune’s visualization toolkit to conduct experiments
Jan 2021 - Aug 2021

Data Scientist Intern

Ann Arbor, Michigan, United States

- Develop SQL scripts- Implement Machine Learning algorithms- Deploy to Docker images

Jun 2020 - Aug 2020

Pilot Leader

Baltimore, Maryland Area

  • Developed teaching materials as a PILOT leader to facilitate peer-led team learning in more informal learning environments.
  • PILOT leader for Differential Equations & Applications (2018) and Linear Algebra (2019).
Aug 2018 - May 2020

Data Science Intern

Dearborn, MI

  • Configured forecasting models to predict car sales and drive more accurate supplier part reccomendations.
  • Used Python (sklearn, numpy, pandas), Alteryx, and Hadoop to extract and wrangle big automotive data for configuration mapping of sales.
  • Achieved a 2% more accurate sales forecast by RMSE measure for a widely used tool in supplier recommendations.
  • Designed a dashboard using Alteryx and Qlikview that quantified the risk level of thousands of Ford servers globally
  • Collaborated with colleagues to deliver data-driven efficiencies across the Ford value chain.
Jun 2019 - Aug 2019

Research Assistant

The Johns Hopkins University Center For Nanomedicine

Baltimore, Maryland

  • Investigated novel DNA nanoparticle synthesis to treat malignant glioblastoma with PEGylated particles and various gene therapy mechanisms.
  • Lead a project designing novel PEG particles to coat the DNA, analyzed the data and concluded the PDI of the 2K mPEG particles was too high for use in gene therapy.
May 2018 - Aug 2018

Research Assistant

Wang Group Nano Energy Laboratory

Baltimore, Maryland Area

  • Developed nanoparticle catalysts for utilization in CO2 to CO reduction with the goal of reducing the energy cost of the reaction
  • Operated advanced lab equipment like a thermal evaporator and a NMR spectrometer
Sep 2017 - May 2018

Data Support Intern

Burger And Company

Farmington Hills, MI

  • Fixed outdated company mailing lists with excel macros to facilitate more efficient marketing
  • Collaborated with employers to import the updated records into their new enterprise software
Jun 2017 - Aug 2017

Student Fundraiser

Baltimore, MD

  • Contacted alumni and built a rapport with them about their experiences
  • Fundraised over $7,000 for need-based financial aid scholarships given to worthy students
  • Collaborated with colleagues to complete call pools
Jan 2017 - May 2017
3 education records

Daniel Blessing education

Applied Mathematics And Statistics & Chemical And Biomolecular Engineering, Chemical Engineering, 3.85/4.0

Activities and Societies: PILOT Learning Program, Tau Beta Pi Honor Society

FAQ

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What is Daniel Blessing's role at their current company?

Daniel Blessing is listed as Data Science Master's Graduate | Passionate about Tackling Diverse Projects & Challenges.

Where is Daniel Blessing based?

Daniel Blessing is based in San Francisco Bay Area, United States, United States.

What companies has Daniel Blessing worked for?

Daniel Blessing has worked for Corteva Agriscience, Stanford University, Td Ameritrade, Pilot Learning Program Of Johns Hopkins University, and Ford Motor Company.

How can I contact Daniel Blessing?

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What schools did Daniel Blessing attend?

Daniel Blessing holds Master'S Degree, Data Science, 3.88/4.0 from University Of San Francisco.

What skills is Daniel Blessing known for?

Daniel Blessing is listed with skills including Statistics, Leadership, Engineering, Probability Theory, Sales, Microsoft Excel, Customer Service, and Data Analysis.

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