Data Science Mock Interview with Feedback

Pradeep Varanasi

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Data Science Mock Interview with Feedback
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1,300
60 mins

Refine your data science interview readiness with the tailored mock interview service. Navigate through coding challenges, algorithm discussions, and tech queries spanning Python, ML frameworks, databases, and beyond. Boost confidence and fine-tune skills for your upcoming interviews.


Topics Covered:

1. Programming Languages:

  • Proficiency in Python/R
  • Libraries (NumPy, pandas, scikit-learn)
  • Handling DSA


2. Database and BigData

  • SQL (joins, window functions, CTE)
  • Spark/AWS/Azure/GCP (optional)


3. Exploratory Data Analysis and Visualization

  • Data Manupulation and Cleansing (missing values, outliers, feature engineering, multi-collinearity)
  • Visualization Libraries (Matplotlib, Seaborn, Plotly)
  • Interactive Visualizations (Tableau, Power BI)


4. Machine Learning/Deep Learning/NLP

  • Supervised and Unsupervised algorithms
  • DeepLearning algorithms and Frameworks (optional)
  • NLP algorithms and libraries (optional)
  • Accuracy metrics, Optimization, Loss-functions, Hyper-parameter tuning


5. MLOps (optional)

  • Git and GitHub
  • API Creation and Deployment
  • Flask/Streamlit/Cloud Deployment Frameworks