James Irving

Background

About James Irving

As an accomplished data scientist, I am passionate about leveraging data to foster innovation, improve outcomes, and produce data-driven insights and recommendations. I am recognized for delivering innovative solutions, rapidly adopting new technologies, and driving impactful data-driven decisions. My expertise spans a wide range of areas, including data analytics, machine learning algorithms, classification and regression models, and AI applications. I am proficient in using Python (Scikit-learn, TensorFlow, Keras, PyTorch) and creating AI-driven solutions with frameworks like LangChain, OpenAI, and HuggingFace. Additionally, I excel in constructing insightful visualizations with Tableau and Power BI. I thrive in fast-paced environments with tight deadlines, cooperative team settings, and managing projects with multiple stakeholders. Professional Skills: • Statistical Analysis & Data Preprocessing: scipy, numpy, pandas, SPSS, GraphPad Prism • Predictive Modeling & AI: scikit-learn, CatBoost, XGBoost, TensorFlow, PyTorch, Keras, OpenCV, Hugging Face transformers, LangChain, OpenAI • NLP Techniques: Text Classification, Sentiment Analysis, Named Entity Recognition, Topic Modeling, Text Summarization • Time Series Analysis & Forecasting: statsmodels, pmdarima, Facebook Prophet, SARIMA, VAR, LSTMs, RNNs • Data Management & ETL: BeautifulSoup, Selenium, RESTful APIs, MySQL, PostgreSQL, AWS RDS, MongoDB • Database Management & Data Warehousing: MySQL, SQLAlchemy, AWS RDS, GCP CloudSQL, MongoDB • Data Visualization Tools: Tableau, Power BI, Looker, Plotly, Seaborn, Matplotlib, Dash, Streamlit • Programming & Development: Python, SQL, MATLAB, Git/GitHub, VS Code, Jupyter Notebook/Lab, AWS (S3, RDS, EC2), GCP (CloudSQL, Drive & Sheets APIs), Docker