
Professional Summary
I have worked extensively in field of Data Science and ML ,2+ years of experience in gathering, cleaning and organizing model building . including regression, classification,neural network,natural language processing (NLP), etc. Advanced understanding of statistical, algebraic and other analytical techniques. Strong background in DNN, CNN, RNN(LSTM) and good experience in using Tensorflow, Scikit-learn, Pandas, Numpy, Pytorch. 2+years of programming experience in Python, and familiar with GPU CUDA.
Working on building the recommendation system for unilever grocery products and Deploying the Azure Cloud.
Python
Postgres
Machine Learning(Pandas, numpy, matplotlibplotlib,scikit learn),
Deep learning(Tensorflow, Keras, Pytorch)
NLP( NLTK,Spacy,Bert, Transformers architectures, text summerization, sentiment analysis)
Spark
AWS (Aws SageMaker, Glue, EMR, Athena, Lambda, S3, EC2, RDS, RedShift IAM)
Computere vision
ML ops , Docker
Azure Machine Learning service
-17/500 rank - Intel Image
Classification Challenge-Analytics-Hackathons
-32/700 - whale identification
challenge - Kaggle
AWS Certified Cloud Practitioner