Data Science | ML | NLP
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Motivated data scientist around 1.9 years of technical expertise Python, Machine Learning and Natural Language Processing. Passionate about building models that fix problems. Relevant skills include Deep learning, Image Preprocessing , problem solving, programming, and creative thinking.
Around 1.9 years of technical expertise Python, Machine Learning and Natural Language Processing experience on Python Data Science Libraries such as NumPy, Pandas, Scikit-Learn, Matplotlib, NLTK Created generalized scripts for performing Data Processing, Data Exploratory Tasks and Feature Engineering, data analysis, data modeling Worked on several projects where Classification, Regression performed Hands-on experience in Machine Learning models like Linear Regression, Logistic Regression, Decision Tree, Random Forest, Xgboost, Support Vector Machines, KNN and Deep Learning models like BERT for Sentence Similarity, question Answering and Semantic Analysis, for Text Summarize used BART, Google/pigasus, Gensim Built various Machine Learning models for predicting customer conversion, optimized them, and finding important features using SHAP values, Permutation Importance etc. Sound knowledge of Natural Language Processing techniques including embedding techniques such as Word2Vec, Average Word2Vec, TF-IDF, etc. and catch on NLP libraries like NLTK and Spacy
Bachelor of Engineering (Information Technology)
