Over the next three months I’m setting aside time every day for a fully hands-on, 1:1 deep dive into Data Science, Advanced Analytics, and AI. My current skill level is advanced, but I want to reinforce the foundations and then push further into Machine Learning, Deep Learning, and Data Visualization while working through real business problems. Scope • Daily live sessions (about 60–120 minutes, Monday-Friday) for 12 consecutive weeks. • A structured curriculum that begins with a quick Python + statistics refresher and moves swiftly into sophisticated modelling, MLOps, and the latest AI techniques. • Practical, code-along labs in Jupyter or VS Code after every concept—no passive slide decks. • One continuous real-time financial-modelling project (e.g., credit-risk scoring, portfolio optimisation, or time-series forecasting) plus smaller mini-assignments. • A capstone that demonstrates the full pipeline: data ingestion, feature engineering, model training, evaluation, deployment, and compelling visual storytelling. • Ongoing doubt-clearing via chat with 24-hour turnaround. What I need from you 1. A week-by-week outline that shows exactly what we’ll cover, which tools you’ll use (Python 3.11, pandas, scikit-learn, TensorFlow or PyTorch, Power BI/Plotly, Docker, Git, etc.), and how much time each segment requires. 2. Evidence of previous 1:1 mentoring or corporate workshops you have delivered in Data Science and AI. 3. A detailed timeline that maps the outline to the daily sessions. 4. Your pricing, broken down by milestone (curriculum design, weekly delivery blocks, capstone evaluation, and post-training support). Acceptance criteria • All sessions are live and interactive. • Notebooks, datasets, and any slide snippets are shared via GitHub or Google Drive by the end of each week. • The capstone includes an end-to-end demo and a short presentation deck. If this format aligns with your expertise, please share the requested outline, your experience, and your fee structure so we can get started right away.