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Candidate Profile
Name:
Di*****
Experience:
4 years
Short Profile:
To join a company that offers me a stable and positive atmosphere and inspires me to
enhance Data Science and therefore innovate the work culture for the betterment of all
parties concerned
Detailed Profile:
Experience using ML libraries, such as Scikit Learn, Seaborn, Matplotlib, SciPy, Pandas,
NumPy, RegEx, nltk, long-chain, etc.
Experience diving into data to discover hidden patterns & modeling them using several
regression & classification machine learning algorithms.
Take ownership of the data science model end-to-end from data collection to model
building to monitoring the model in production.
Deep Learning: Neural Networks, Deep Learning, ANN, CNN, DNN, Transfer Learning,
Back Propagation, Linear Algebra, Tensorflow 2.x, Keras
AWS: Elastic Compute Cloud, Sagemaker, Notebook instance, AWS container, Simple
Storage Services S3, Deployment, Multi-cloud environment
NLP: Text representation techniques, understanding text, text classification,
Libraries: nltk, spacy, gensim, text blob, langdetect, google trans, BOW, TF-IDF, W2V, S2V
Role:
AI-ML Engineer
Qualifications:
Bachelor's
Primary Skills:
Python
SQL
Secondary Skills:
Artificial Intelligence
Cloud Computing
Data Analysis
Programming Languages
Software Testing
Status:
Active
Resume:
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