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TOM-BOHN/README.md

πŸ‘‹ Hello, I'm Thomas Bohn

Experienced Data Scientist with 15 years of expertise in data science, data visualization, product management, and data management. Proven ability to develop and implement strategies for data-centric product development and data-driven decision-making.

Applying for Senior Data Scientist positions to leverage expertise in emerging AI, advanced analytics, and model-driven products and solutions.


🌐 Connect With Me

LinkedIn Medium

Open to discussing data science opportunities, collaborations, and innovative projects


πŸš€ Recent Data Science Projects

🎨 Computer Vision & Image Processing

Date Type Repo Status Description
2025 Sept CycleGAN deep-learing-gan-monet-painting Completed Generate Monet-style paintings from photographs using CycleGAN architecture. Replicates Monet's artistic style through color palette, brush strokes, and lighting techniques.
2025 Aug CNN deep-learing-cnn-cancer-detection Completed Develop CNN for binary classification of histopathologic images to detect metastatic cancer using PatchCamelyon dataset.

πŸ“ Natural Language Processing

Date Type Repo Status Description
2025 Oct LLM Classification deep-learning-llm-classification-finetuning Completed Fine-tune DeBERTa v3 model to predict human preferences in LLM responses using Chatbot Arena dataset with systematic optimization experiments.
2025 Sept LSTM deep-learing-rnn-disaster-tweets Completed Build LSTM model to classify disaster-related tweets using 10,000 hand-labeled samples for emergency response monitoring.
2024 Oct Unsupervised NLP unsupervised-nlp-sfdc-classification Completed Apply unsupervised learning to categorize 1,498 Salesforce documentation pages using NLP feature extraction and clustering.
2024 Oct Supervised NLP supervised-nlp-auto-classification-for-sfdc-documentation Completed Develop NLP model to automate Salesforce documentation classification across Sales Cloud and Service Cloud features.
2023 Sept Unsupervised Learning news-articles-categorization Completed Model BBC News article categorization using NLP, matrix factorization, and compare unsupervised vs supervised approaches.
2023 Sept Deep Learning marketing_text_classification Completed Classify marketing text using k-train wrapper for TensorFlow, Keras, and Hugging Face Transformers with performance evaluation.

πŸ€– Traditional Machine Learning

Date Type Repo Status Description
2023 Aug Supervised Learning customer-churn-prediction Completed Predict customer churn using Random Forest classifier on public dataset, emulating business context for attrition analysis.

πŸ“ˆ Data Visualization & Analysis

Date Type Repo Status Description
2023 April Data Visualization consumer-price-index Completed Create comprehensive CPI visualizations to communicate inflation impact beyond top-level numbers for public understanding.
2023 April R Analysis nypd-shooting Completed Analyze NYPD shooting incident data to identify contributing factors and trends in New York City shootings.
2023 April R Analysis covid-19 Completed Conduct exploratory data analysis of global and US COVID-19 datasets to identify data interactions and connections.

πŸ”— Certification Links

Salesforce Credly Accredible LinkedIn


πŸ“ Featured Writing & Publications

Date Type Title Status Description
2023 Aug Medium Article The 4 Cs of Data Governance Measurement Published Introduce comprehensive framework for data governance using Capability, Capacity, Competency, and Compliance metrics.

πŸŽ‰ Fun Facts & Personal Interests

Beyond data science, I'm passionate about continuous learning and community engagement

🌟 Personal Highlights

  • πŸŽ“ Lifelong Learner: Currently pursuing MSDS while working full-time at Salesforce
  • πŸ“š Knowledge Sharing: Published articles on data governance and best practices
  • 🌱 Growth Mindset: Always exploring new technologies and methodologies
  • πŸ’‘ Innovation: Bridge between academic research and practical business applications

🎯 What Drives Me

  • Solving Complex Problems: Using data to uncover insights that drive business value
  • Building Teams: Creating environments where data professionals can thrive
  • Continuous Innovation: Staying at the forefront of AI/ML developments
  • Making Impact: Contributing to projects that improve decision-making and outcomes

πŸ› οΈ Technology Stack

Category Technologies
πŸ‘¨β€πŸ’» Languages & Frameworks Python R SQL Bash Salesforce
🧰 Data Science & AI Pandas NumPy Scikit-Learn SciPy TensorFlow PyTorch Keras NLTK
πŸ—„οΈ Data Storage & Databases PostgreSQL MySQL Apache Spark Snowflake Amazon S3
πŸ“Š Data Engineering & ETL Apache Airflow dbt Apache Spark Snowflake
☁️ Cloud Platforms Amazon AWS Amazon S3 Amazon SageMaker Docker
πŸ’» Development & DevOps Git GitHub Jenkins Docker Selenium
πŸ“ˆ Data Visualization & BI Tableau
πŸ’» Development Environment Jupyter R Markdown Conda Google Sheets
πŸ“‹ Work Management Jira Confluence Slack Google Workspace Lucidchart

πŸ“ˆ GitHub Statistics

πŸ”₯ Contribution Streak

GitHub Streak

πŸ“Š Profile Statistics

GitHub Stats

πŸ—£οΈ Top Languages

Top Languages

πŸ“ˆ Activity Graph

Activity Graph

πŸ‘€ Profile Views

Profile Views

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