Shama Zabeen Shaik

About Shama Zabeen Shaik

Young Data Science working professional from one of the biggest financial organizations of the world, Wells fargo. I am a Computer Science graduate from University of North Carolina Charlotte with expertise and compitence in Data Science and Machine Learning.I am an adept analytical detail-oriented self-motivated individual and a keen learner with an eye for detail. Capable of turning dry analysis into an exciting visualization story using data visualization tools that influence the direction of the business and communicating with diverse teams to take a project from start to finish.Currently working as a Senior Data Science Engineer for Qualcomm.My Key Competencies: Programming / BI Tools - Python, R, Power BI, Splunk, Tableau, Knime, Weka, Kibana, SQL, C, C++, JavaScript, MS Excel, Splunk SDLC - Agile/Scrum/Waterfall Databases - MySQL, Microsoft SQL Server, Oracle SQL, PL/SQL, Hadoop Machine Learning: Linear Regression, Classification, Logistic Regression, Decision Trees, Random Forests, SVM, Hypothesis Testing, K-NN, K-Means Clustering, Text Analysis, Sentiment Analysis, Time Series Analysis, Survival Analysis, A/B Testing, Numpy, Matplotlib, Sckit-learn, Pandas, Scipy NLP techniques: Tokenization, Part-of-speech Tagging, Parsing, Stemming, Lemmatization, Semantic Analysis, Named Entity Recognition, Modeling and Work Representations, RNN, ConvNets, TF-IDF, LDA, Word2Vec

Experience

1. Senior Engineer Data Science

   高通

   Aug 2022 — Present · San Diego, CA, US

Education

• University of North Carolina at Charlotte

  Master's degree, Computer Science ( Data Science and Machine Learning)

  2017 — 2019

• Vellore Institute of Technology

  Bachelor's degree, Computer Science

  2013 — 2017