Data Scientist

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Data Scientist

ID : 1503

Education level : Master's degree

Work experience level : Associate- (1-2 year experience)

Work experience in total : Years

Job type : Online

Job time : Maandelijks

Last date of registration :

2022-11-24

Data Scientist experience creating machine learning models and retraining systems and transforming data science prototypes to
production-grade solutions. Consistently optimizes and improves NLP systems by evaluating strategies and testing changes in machine
learning models.

Machine Learning NLP Engineer - Binary6 - (2020-2022)

Instrumental in researching, prototyping, designing, implementing and evaluating machine learning models for the Automatic Essay Scoring System engine of the Pearson Knowledge Technologies.
Applied various transfer-learning techniques using pre-trained word-embeddings like Glove, fastText, Glove, BERT, Universal Sentence Encoder for text similarity tasks.
Digging deep into the millions of data records and performing data exploratory analysis using interactive Jupyter notebooks using pandas/ numpy/ matplotlib and presented the findings to the managers.

Graduate Research Assistant - (2021-2022)

Researched, prototyped (from research papers), built features and optimized (hyper-parameter tuning) the state-of-the-art machine learning and deep learning techniques like SVM, Logistic Regression, Random Forest regression, LSTM, CNN etc., using scikit-Learn, keras, tensorflow on CPU/GPU environments for Threating text-classification.
Worked on Research Paper “Threating Language and Target identification at Tweet Level using Supervised Learning” as a “CoAuthor”

Machine Learning Expertise
Natural Language Processing
Deep Learning, Data Analysis
Python, MySQL, Django
Jupiter , Colab , Github
Scikit-Learn, Scrapy, Transformers

Certifications:

Data Analysis in Python – Coursera
Applied Data Science with Python – IBM Skill Network

Data Scientist experience creating machine learning models and retraining systems and transforming data science prototypes to
production-grade solutions.

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