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AabhaD/README.md

Hi, I’m Aabha! πŸ‘‹

An aspiring Data Scientist with a demonstrated ability to make Business Strategies and Decisions via data analytics. I seek to leverage my newly acquired skills in Machine Learning, Advanced Statistics, Database Management, Data Visualization, and my business acumen.

As a Vendor Development & Management Professional, I have worked on multiple projects, for clients that includes β€˜Fortune 500’ organizations. My role was to gather client requirements as per the project scope, analyze their transactional data and generate financial saving opportunities. This was done by optimizing the procurement processes. This experience and my interest in math, inspired me to pursue my career in the field of Analytics. I have Master’s in Business Analytics from at University of Texas Dallas.

I have a working knowledge of :

  • Database Design, Relational Databases, as well as NoSQL Databases.
  • Fundamental statistical concepts such as measures of central location, standard deviations, histograms, the normal and t-distributions, ANOVA, Hypothesis Testing.
  • Data Mining concepts such as Data Exploration, Dimension Reduction PCA, Performance Evaluation, Prediction and Classification methods like Multiple Linear Regression, Regularized Regression, Logistic Regression, Discriminant Analysis, CART Models, Ensemble Methods, Cluster Analysis, Collaborative Filtering.
  • Support Vector Machines, Forecasting using ETS and ARIMA, Multinomial and Ordered Logit Models, NaΓ―ve Bayes Models, Neural Networks, Text Analytics and Social Network Analytics.
  • Natural Language Processing, NLTK libraries, spaCy, Big Data, Deep Learning libraries
  • Decision analysis and optimization techniques such as linear programming, decision analysis, integer programming, and other optimization models.
  • Tableau, R, MySQL, MongoDB, ShinyApp, Analytical Solver, Python.

When not studying, I love to paint, cook and travel πŸ˜€

Popular repositories Loading

  1. Fraud-Detection-using-ML-classifiers Fraud-Detection-using-ML-classifiers Public

    Fraud Detection

    Jupyter Notebook 1

  2. Statistical-Analysis-of-Avocado-Data-for-Predicting-Average-Price Statistical-Analysis-of-Avocado-Data-for-Predicting-Average-Price Public

  3. AabhaD AabhaD Public

    Config files for my GitHub profile.

  4. ShinyApp-visualization-for-Chicago-crime ShinyApp-visualization-for-Chicago-crime Public

  5. Sentiment-and-Time-Series-Analysis Sentiment-and-Time-Series-Analysis Public

    Sentiment and Time series Analysis for Pfizer & BioNTech COVID-19 Vaccine

  6. SMS-Spam-Detection-using-Spacy SMS-Spam-Detection-using-Spacy Public

    SMS Spam detection using NLP

    Jupyter Notebook