Data Scientist Trainee
April 2020 –
March 2021
Hyderabad, India
Developed and desined a machine lerning based model which automated a delivery and dispatch system and thus helps in elevating the efficiency of the company to some extent. The algorithm used for developing the model is Random Forest, and Designed and developed a Real and Fake news classifier using machine learning based model.
Profile Summary
- Experience in architecting Artificial Intelligence applications with Machine Learning, Deep Learning with Python.
- Good Experence in Machine Leraning Techniques inclueds Regression, clusering, classificaiton, and experecne in NLP text Processing
- Good Experence in Deep Learning Techniques includes ANN, CNN, RNN, Advanced CNN and Advanced RNN with LSTM, with advanced concepts Encoders, Decoders, Attention Models, Transformers, BERT.
- Skilled in libraries such as Pytorch, Keras, Tensorflow, Sklearn, Numpy, Pandas, and Matplotlib, seaborn and Tableau for Data Visualization
- Experience in architecting Machin Learning models in AzureML, data bricks with pyspark and AWS s3 bucket.
- Experience in creating Auto ML models in AzureML, pycaret using with Google colob
- Proficient in understanding and analysing / visualization (tableau) of data pertaining to various domains.