Data Analytics Internship

Selected intern's day-to-day responsibilities include:

1. Collaborate on the development and maintenance of data preprocessing pipelines, distill findings from data analysis, and craft compelling narratives for communication to both technical and non-technical stakeholders
2. Stay up-to-date with the latest scientific papers and articles, particularly those related to emerging technologies, and effectively communicate their insights to the broader data science team for the purpose of enhancing our projects and fostering collaborative idea-sharing
3. Support the data science team by actively contributing to coding, testing, and facilitating product implementation, with a focus on DevOps and Python
4. Gain a thorough understanding of the company's business goals and take charge of the end-to-end process of transforming data, from initial preprocessing to handling larger datasets, with the aim of scalable optimized code

Should know the following Concepts in Python:

1. Business Analytics - Market Basket, RFM, Customer Segmentation
2. Feature Engineering - Data Normalization, Encoding, Text feature engineering, Dimensionality Reduction, PCA, TSNE, SVD
3. Data Sampling - Monte Carlo Simulations, SMOTE
4. Markov Models

2