1-on-1: Data Science & Forecasting with Gaurav

In this focused 30-minute 1-on-1, we’ll kick off with a broad survey of data science essentials—feature engineering, statistical modeling, and model evaluation—then dive into a spectrum of forecasting approaches (classical and machine-learning based), covering regression, ARIMA, exponential smoothing, Prophet, and ensemble methods. You’ll learn robust outlier detection and segmentation strategies, techniques for correcting anomalies, and best practices for validating accuracy and performance across all model types.

Next, we’ll explore end-to-end workflows applicable to any analytics project: data ingestion and preprocessing, exploratory analysis, dashboarding, automated forecast generation, and error reporting. Whether you’re working in supply-chain, marketing, finance, or operations, you’ll see how to apply these methods on platforms like o9 (or equivalents), plus tools such as Python, SQL, and BI suites to streamline your pipelines and scale your solutions.

Beyond the technical deep dive, you’ll get personalized career guidance, resume feedback, and referral support tailored to data science and analytics roles. I’ll share industry insights on emerging trends, domain-specific best practices (from demand planning to inventory optimization and beyond), and actionable next steps to drive data-driven decisions and accelerate your professional growth.