Tips and Tricks of Interview

if you are sitting in a interview the first thing you should have

1. Projects

Two to three Projects are necessary

2. Explain First end to end project using STAR method

Situation: Briefly describe the project's goal. (e.g., "I built a model to predict customer churn for a telecom company.")

Task: What was your specific role? ("My task was to lead the end-to-end development...")

Action: This is the meat. Detail your process:

"I started with data cleaning and performed feature engineering like X and Y."

"I experimented with different algorithms like Random Forest and ANN, ultimately selecting X because it performed better on precision."

"For the DL model, I used CNN architecture with ReLU and softmax activation to handle non-linearity."

"To combat overfitting, I used techniques like [mention dropout, regularization, etc.]."

"For the NLP part, I used TF-IDF and Word2Vec for vectorization before feeding it to the model."

Result: Quantify your results if possible. "The final model achieved 95% accuracy on the test set and successfully identified 30% more at-risk customers than the previous method." If you can't quantify, talk about what you learned.

👉 Detailed blog on RAG (Retrieval-Augmented Generation)