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Steven Calder, Data Visualization Developer in Minneapolis, MN, United States
Steven Calder

Data Visualization Developer in Minneapolis, MN, United States

Member since November 13, 2019
Steven is a versatile data scientist who connects concepts from various fields of thought to create novel solutions and identify new areas to apply data. His work emphasizes clear communication of technical concepts via interactive visualizations and narrative storytelling, allowing decision-makers from all backgrounds to understand and take appropriate actions.
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Portfolio

  • Doximity
    Python, Pandas, NumPy, A/B Testing, SciPy, Jupyter, Scikit-learn, NLTK...
  • Siemens
    Amazon Web Services (AWS), Tableau, PostgreSQL, Python, Data Analytics...
  • CrossEngage
    R, Spark, Cassandra, PostgreSQL, Python, Data Analytics, Data Visualization...

Experience

Location

Minneapolis, MN, United States

Availability

Part-time

Preferred Environment

Tableau, Looker, Python, Snowflake, PostgreSQL, Pandas, Python 3

The most amazing...

...use of data has been to combine data from various railway sensors to create predictive maintenance products, resulting in multiple patents along the way.

Employment

  • Senior Staff | Data Science and Analytics

    2019 - 2021
    Doximity
    • Developed NLP models to extract features from medical literature and match the content with users.
    • Led the dimensional modeling team in structuring company-wide data.
    • Leveraged the company data to customize the product to achieve company goals.
    Technologies: Python, Pandas, NumPy, A/B Testing, SciPy, Jupyter, Scikit-learn, NLTK, Natural Language Processing (NLP), Data Visualization, Looker, Snowflake, Amazon SageMaker, Machine Learning, BERT, Word2Vec, Torch, PyTorch, Deep Learning, ETL, Dimensional Modeling, Predictive Modeling, Data Analytics, Amazon Web Services (AWS), Business Intelligence (BI), Data Analysis, Agile Deployment, Big Data, Apache Airflow, Data Pipelines, Spark, PyCharm, Data Modeling, Project Management, People Management, Dask, APIs, Clustering, Python 3

  • Principal Data Scientist | Head of R&D Data Analytics Center

    2016 - 2019
    Siemens
    • Recruited, hired, and led an international and multicultural team of 15 data experts, including some with their direct reports.
    • Organized international teams in Japan, Singapore, Hong Kong, and Europe.
    • Managed simultaneous project proposals, budgets, and timelines.
    • Developed and maintained scalable ETL systems to ingest, process, and analyze streams of petabytes of data from diverse sources.
    • Produced interactive data visualization products with real-time analytics for resource allocation, predictive maintenance, and improvements to odometric systems.
    • Authored intellectual property applications and academic publications.
    Technologies: Amazon Web Services (AWS), Tableau, PostgreSQL, Python, Data Analytics, Data Visualization, Pandas, Scikit-learn, Looker, Natural Language Processing (NLP), SQL, Data Science, Snowflake, Time Series Analysis, NumPy, Amazon SageMaker, Torch, TensorFlow, BERT, Business Intelligence (BI), ETL, Machine Learning, Predictive Modeling, Time Series, People Management, Agile Deployment, Project Management, Big Data, Deep Learning, Data Analysis, SciPy, Redshift, Dimensional Modeling, Jupyter, Data Pipelines, pgAdmin, PyCharm, Data Modeling, Luigi, Dask, Tableau Server, APIs, Clustering, Neural Networks, Python 3, GIS

  • Head of Data Science

    2015 - 2016
    CrossEngage
    • Recruited, hired, and led a team of ten data specialists.
    • Designed an artificial intelligence technique for predicting and directing customer behavior.
    • Invented new techniques for machine learning with imbalanced datasets—expansion of the SMOTE algorithm for online marketing.
    • Presented our data products to clients and investors.
    Technologies: R, Spark, Cassandra, PostgreSQL, Python, Data Analytics, Data Visualization, Pandas, Scikit-learn, Natural Language Processing (NLP), SQL, Data Science, Time Series Analysis, NumPy, Amazon Web Services (AWS), TensorFlow, Business Intelligence (BI), ETL, Machine Learning, Predictive Modeling, Time Series, People Management, A/B Testing, Data Analysis, SciPy, Big Data, Jupyter, Data Pipelines, PyCharm, Data Modeling, Deep Learning, Project Management, APIs, Clustering, Neural Networks, Python 3

  • Data Scientist

    2013 - 2015
    Rocket Internet
    • Consulted portfolio companies—HelloFresh, Zalando, Carmudi—to identify new opportunities to utilize their data.
    • Oversaw the construction of scalable ETL pipelines to plan for growth.
    • Created price prediction models for the global used vehicle market.
    • Worked with product owners to determine KPIs with automated reporting.
    • Segmented customers for marketing and churn prediction.
    Technologies: Python, NumPy, SciPy, Machine Learning, R, PostgreSQL, Data Analysis, Data Visualization, Data Analytics, Business Intelligence (BI), ETL, Predictive Modeling, Big Data, Algorithmic Trading, Data Pipelines, PyCharm, Data Modeling, Deep Learning, Amazon Web Services (AWS), APIs, Clustering, Neural Networks, Python 3

  • Postdoctoral Researcher

    2011 - 2013
    Wageningen University & Research
    • Supervised a team of six graduate students and managed international projects with teams from Japan, Egypt, Israel, Canada, the USA, and Europe.
    • Applied machine learning to chemical systems to produce biochemical sensors.
    • Acquired and analyzed the data from "artificial noses" as a diagnostic instrument.
    • Authored research articles in top journals and reviewed articles as a peer reviewer.
    Technologies: MATLAB, Python, Data Analytics, Data Visualization, SQL, Data Science, Machine Learning, Predictive Modeling, Data Analysis, Data Modeling, People Management, Python 3

Experience

  • Rail Vehicle Anomalies
    https://tabsoft.co/2My67Lp

    By examining the data from sensors on a moving train, we have identified a set of different types of anomalous readings. These types can be visualized to explain the different conditions or locations where these anomalies occur.
    A dashboard presenting the findings is available on the website above.

Skills

  • Languages

    Python, SQL, Snowflake, Python 3, R

  • Libraries/APIs

    Pandas, NumPy, Scikit-learn, NLTK, PyTorch, TensorFlow, Dask, SciPy, Luigi

  • Tools

    Tableau, Looker, Amazon SageMaker, Apache Airflow, PyCharm, pgAdmin, MATLAB, Jupyter, GIS

  • Paradigms

    Data Science, Business Intelligence (BI), ETL, Dimensional Modeling

  • Storage

    PostgreSQL, Data Pipelines, Redshift, Cassandra

  • Other

    Data Analytics, Data Visualization, BERT, Natural Language Processing (NLP), Machine Learning, Predictive Modeling, A/B Testing, Big Data, Word2Vec, Data Modeling, Time Series Analysis, Torch, Time Series, Deep Learning, Tableau Server, APIs, Clustering, Neural Networks, Data Analysis, People Management, Algorithmic Trading

  • Platforms

    Amazon Web Services (AWS)

  • Industry Expertise

    Project Management

  • Frameworks

    Spark

Education

  • Ph.D. in Chemical Physics
    2008 - 2011
    University of Minnesota - Minneapolis, MN
  • Master's Degree in Chemistry
    2006 - 2008
    University of Minnesota - Minneapolis, MN
  • Bachelor's Degree in Chemical Physics
    2003 - 2006
    College of William and Mary - Williamsburg, VA

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