Technical Interview: Sentiment Analysis, Demand Forecasting & More | Data Science & Machine Learning

In this detailed technical interview, Rhoffun shares his expertise across various domains of data science and machine learning. Throughout the conversation, Rhoffun provides insights into how he has applied advanced models and techniques to solve real-world business challenges.

Key topics covered include:

Sentiment Analysis for Customer Experience: Learn how Rhoffun built a sentiment analysis model to improve customer satisfaction by identifying pain points and refining product offerings.
Demand Transfer Modeling: Discover how Extra Trees models were used to predict demand across store clusters and SKUs, leveraging historical data and advanced feature engineering.
Resume Parsing with YoloX and Bi-directional LSTM: Rhoffun explains the complexities of creating a resume parser, using object detection and named entity recognition to handle diverse resume formats.
Price Elasticity Model: He describes how a combination of logistic regression and generalized additive models (GAM) was used to achieve 93% accuracy in predicting the relationship between price changes and demand.
Trade Promotion Optimization (TPO): Explore how constraint programming was used to optimize promotional strategies while adhering to business rules and operational limits.
SHAP Values for Model Interpretability: Understand how SHAP values were applied to XGBoost models to improve transparency in sales and demand forecasting predictions.
Transportation Optimization with Google OR-Tools: Rhoffun details how load consolidation algorithms helped reduce transportation costs by 30%.
Web Scraping with Scrapy and Selenium: Learn how web scraping and automated data extraction techniques were implemented for both static and dynamic websites.
Data Cleaning and Feature Engineering: Insights into best practices for preparing data for machine learning, from handling missing values to creating new features for improved model accuracy.
This video is a must-watch for anyone interested in data science, machine learning, and solving complex business problems with advanced modeling techniques. Whether you are preparing for a technical interview or looking to expand your knowledge, this interview provides valuable insights and actionable strategies.

#DataScience #MachineLearning #XGBoost #SentimentAnalysis #PriceElasticity #DemandForecasting #ConstraintProgramming #WebScraping #DataCleaning #FeatureEngineering #TPO #ResumeParsing

Tune in to gain deeper insights into practical applications of cutting-edge data science techniques in real-world scenarios!