AI amplifies human analytical capabilities without replacing strategic judgment. Large language models excel at rapid information processing, while innovation and design remain distinctly human strengths. Below are examples of how I integrate AI to accelerate my capabilities in product strategy and advanced analytics.
Methods for applying AI in analytics ✨
Pair Programming | Executive Communication | Exploratory Data Analysis | Accelerated Learning | Technical Writing | Financial Forecasting
AI Pair Programming for Cross-Functional Leadership
Combined with AI tools, my foundation in data structures and programming logic enables me to master new programming languages and technologies rapidly. Recently, collaboration with JavaScript developers sparked my interest in React development. After developing initial scaffolding with ChatGPT, I used CoPilot in Visual Studio to prompt my way through a chatbot prototype over a weekend.
When you can understand product implementations at a deep level, your mindset shifts from translating requirements to participating in solutions.
AI Executive Coaching and Communication
Feedback is a gift, but it arrives far too rarely in our busy professional lives.
Claude is constantly available. I ask him to preview emails for tone analysis. When facing high-stakes meetings or difficult conversations, I rehearse scenarios and explore different approaches in advance. For strategic planning, I brainstorm ideas and test assumptions, looking for potential blind spots that I might have overlooked.
While AI will never replace the wisdom of human mentors, it can fill in the gaps. Don’t wait for feedback to find you, actively seek improvement every single day.
AI Exploratory Data Analysis
The most successful projects don’t start with fancy algorithms, they begin with extensive exploration and data preparation. Exploratory data analysis is time-consuming and repetitive, making it an ideal candidate for AI automation.
Instead of spending hours writing visualization code from scratch, I prompt AI to generate R and Python scripts that instantly reveal patterns in my data. For example, I utilized AI to visualize different classifiers when interpreting marketing data.
AI is particularly beneficial for cleaning data. I can rapidly create visuals to spot outliers or invalid entries, understand their impact, and use a prompt to handle them. In Excel, I ask ChatGPT to write complex formulas for data transformation tasks that would typically require a battle with missing parentheses or commas.
AI Powered Learning for Advanced Analytics
Over the past two years, while completing advanced coursework in mathematics and statistics, I have discovered that AI makes an exceptional tutor. Resist the temptation to use AI to complete your homework. In addition to the ethical liability, every shortcut you take now becomes a knowledge gap that will haunt you later. Instead, turn AI into a patient and infinitely available teacher.
If you got the right answer but wonder why an alternative approach failed, ask an LLM for clarification. Stuck on a problem? Describe your attempted approach, explain your confusion, and request guidance on the underlying principles. The response will provide a personalized lesson that builds genuine understanding rather than false progress.
AI Accelerated Technical Writing
LLMs have a fundamental memory problem. Their limited context windows struggle with long documents. An incremental approach to prompting will improve the recommendations provided by these models.
If you regularly use AI to optimize complex writing, watch 3Blue1Brown’s video, “Transformers Explained Visually,” to gain a foundational understanding of LLMs and improve your AI implementation.
Much like avoiding LLMs to solve your math homework, do not use ChatGPT to do your writing. AI is an editorial partner. Draft an outline of your content and use AI to generate additional ideas. Fill in this AI augmented outline with your ideas and concepts. Next, paste one paragraph at a time into your chosen AI tool. Use focused prompts, such as “edit this for clarity” or “improve engagement while maintaining technical accuracy.” Instead of copying and pasting the output, utilize elements from the generated text to enhance your own narrative.
For technical content like this article, I go through numerous rounds of iterative prompting. Each edit sharpens different aspects of the text while preserving my authentic voice.