Scott's Project Gallery

• Experience:
• All
• Data Science
• Solution Architecture
• Strategy

• 

  Strategy

  Scott employs Strategic Thinking: He is able toanticipate future trends, and formulate effective plans and decisions to achieve long-term goals.

• 

  Innovation

  Innovation: Scott is able to use strategic thinking that fosters an environment of innovation. He encourages teams to explore new ideas and approaches to solve problems and create better products or services.
• 

  Adaptation to Change

  Adaptation to Change: Scott has assisted businesses in today's fast-paced world, organizations to become adaptable.
  
  Strategic thinking facilitates the development of strategies that can be adjusted as needed to respond to changes in the environment.
• 

  NLP

  Scott has used the following libraries: TensorFlow, Keras, Caffe, CUDA, Naïve Bayes, GLM/Regression, Trees, Random Forest, Boosting Algorithms, Clustering Techniques, Convolutional Nets CNN, OpenCL, nympy, LSTM, BERT, NLTK, Scikit.Learn, Matplotlib, NLTK, PySpark, HDF5, matplotlib, ggplot

• 

  Azure Synapse Analytics

  Azure Synapse Analytics Scott has set up Synapse Analytics on Data Lakes to provide an integrated analytics service that combines big data and data warehousing.

   

  Azure Synapse Analytics is designed to help organizations analyze and gain insights from large volumes of data by providing a unified platform for data integration, data warehousing, big data analytics, and machine learning.

• 

  Data Lakes

  Scott has used Azure Data Factory to collect, prepare, and transform big data for analytics, reporting, and business intelligence purposes.
  
  He has set up Data Pipelines, Data Transformation, and Integration with Azure Services.
• 

  Power of AI

  • Recent breakthroughs in AI tools such as ChatGPT and Falcon-40B LLM’s are delivering powerful solutions to businesses.
  • Scott has written applications to leverage the power of large LLM's can ChatGPT.
• 

  Azure Cognitive Services

  Azure Cognitive Services: Scott has implemented APIs that allow developers to add intelligent features to their applications for natural language processing, speech recognition, and computer vision
• 

  Machine Learning

  Scott has used Azure Machine Learning Server (SQL Server Machine Learning Services) to execute Python scripts in-database, allowing them to prepare and clean data, do feature engineering, and train, evaluate, and deploy machine learning models within a SQL database. This feature eliminates the need for data transfer across the network to another server. Users can execute Python and R scripts on a SQL
• 

  Databricks

  Scott has used Azure Databricks, an Apache Spark-based system to enable interactive environment for data engineering, data science, and machine learning tasks.