Kendall Mcneil Email & Phone Number

Experience in statistical analysis, machine learning, deep learning, image classification, and data visualization. With a background in project management and research, my strengths lie in my ability to translate complex data into comprehensible and actionable insights and project management expertise that elicits effective data-driven decision making.**Technical Skills**- Programming Languages: SQL, Python (Pandas, scikit-learn, Seaborn, Pyplot, Scipy, NumPy, TensorFlow, StatsModels, Keras, CNN, PyTorch)- Tools and Platforms: Project Management, Tableau, IBM SPSS Statistics, Salesforce, Jupyter Notebook, VS Code, AWS, Streamlit**StrengthsFinder Results**- Intellection, Learner, Connectedness, Restorative, PositivityMy professional experience has primarily unfolded in under-resourced education and pediatric healthcare, where I've undertaken roles in project management, strategic planning, research, people and management. During my master's at Harvard and my role as a Researcher at Harvard's Radcliffe Institute in collaboration with Boston Children's, I performed statistical analysis using IBM SPSS, Tableau, and Excel. Although I had been coding as a hobby for a decade prior, it was during my role as a researcher that I observed first-hand the transformative power of machine learning and AI in expediting tasks and research.The early years of my career journey ignited my curiosity about the mechanisms behind knowledge retention, leading me to pursue a master's in Psychology at Harvard. There, I engaged in a range of general and Industrial/Organizational psychology courses, gaining insights into the science of attention, optimizing productivity, and effective team management that I bring to all spaces.Known for my curiosity, attention to detail, and proactive approach, I pride myself on being a connector of people. As an avid reader, I'm drawn to books that bridge the gap between research and the public, such as 'Why We Sleep,' 'Discovering Statistics using SPSS,' and 'Upstream.'Eager to connect with fellow professionals and data geeks. Feel free to check out my blog and projects on GitHub. Lastly, you can reach out via LinkedIn message or email - let's connect!