Data Science Work From Home Internship

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

1. Working on analysis, EDA, and drawing inferences from the output of the model.
2. Working on classical ML, deep learning, transfer learning, Mops, and deployment (on-premise and cloud and hybrid).
3. Handling model drift and data drift of previously deployed models and monitoring of models.
4. Working on the data structure (table), image/video, sound/time series (sequential data RNN, Arima, TES, etc.)
5. Working on statistical modeling (hypothesis testing, Bayesian Stat, comparing distributions, normal distributions, CLT)
6. Understanding requirements converting to POCs and developing end-to-end platforms.
7. Working on proficient foundational skills in fundamental data science concepts, encompassing linear regression, classification, bagging/boosting, dimensionality reduction, and model explainability.
8. Building Data pipeline, ETL.
9. Working on programming/ framework:
(a) Data handling and Wrangling pyspark, Pandas, polar etc.
(b) Web: flask, fast API
(c) Image: OpenCV, Yolo
(d) Testing API: Postman
(e) Automl: Rapidminer
(f) Visualization: power bi
(g) Tools: VScode, Jupyterlab

Benefits:

1. Letter of recommendation and certificate after successful completion of the internship.
2. Outstanding performers can be converted to permanent employees.
3. You will get the opportunity to learn and grow in a cutting-edge tech environment (AI and Advanced Analytical Engineering).
4. Dedicated Training and learning and development of skills during internship.

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