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Hello!

Peek 2020-11-11 15-53

  • šŸŽ“ Master's graduate with Business Acumen and Technical Backgroud.

  • šŸ¤šŸ» Business Expertise: SDLC, Agile and WaterFall Methods, IT Project Management.

  • šŸ’» Worked/familiar with programming languages: Python/ R/ C/ Java.

  • āš” Worked/familiar with tools/libs: SciKit Learn/ Tensorflow/ Keras/ Pytorch/ NLTK/ Flask/ Tableau/ PowerBI.

  • šŸ”­ Iā€™m currently working on an Computer Vision and Natural Language Processing projects on various open source datasets.

  • šŸ¤šŸ» I'm open for collaborations in Data Science and Machine Learning domains.

  • šŸŽÆ Goal (2020): Contribute openly to Data Science and Machine Learning community

  • šŸ’¬ Ask me anything about Gaming...

Mark's Projects

bank-customer-classification-ann icon bank-customer-classification-ann

The data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a customer.

covid-19 icon covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deploying-nlp-classification icon deploying-nlp-classification

Deployed Spam and Ham classification WebApp using Natural Language Processing and Naive Bayes Classifier on Flask and Heroku Cloud Platform.

mammographic-mass-uci-ml icon mammographic-mass-uci-ml

Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age.

online-shoppers-intention-uci-ml icon online-shoppers-intention-uci-ml

Online shopper's purchasing intention based on their behavior and time spent online. Analyzed SVM, Logistic Regression, Decision Tree, Ensemble Methods, and Neural Network to predict.

opencv icon opencv

Open Source Computer Vision Library

seaborn icon seaborn

Statistical data visualization using matplotlib

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

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