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The project deals with determining and predicting the type of accident taking place in the city of Austin. The data would help in understanding what possible factors are leading to the accidents based on the severity of the incident that has occurred.

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classification-algorithm correlation-analysis data-driven-model datapreparation datapreprocessing datavisualization exploratory-data-analysis feature-extraction jupyter-notebook machinelearningalgorithms

bike_crash_analysis's Introduction

Hello folks ๐Ÿ‘‹, I am Richa Rambhia

Computer Engineer from the University of Mumbai, Data Analytics Student from Northeastern University, Tableau Certified, and a Data Enthusiast.

Highly analytical and process-oriented. Passionate about Data Science and Data Analysis with knowledge of analytical methods, statistical computing methods, data visualization, regression analysis, and data technologies/tools.
  • ๐Ÿ’™ Insights Analyst @Blue Cross Blue Shield of North Carolina. https://www.bluecrossnc.com/

  • ๐ŸŒ Grace Hopper Celebration (GHC) 2023 Attendee. https://ghc.anitab.org/

  • ๐Ÿ‘จ๐Ÿฝโ€๐ŸŽ“ Graduate student from Northeastern University with a master's degree in Data Analytics.

  • ๐Ÿ‘ฉโ€๐Ÿ’ป Computer Engineer from the University of Mumbai, India.

  • ๐Ÿ“š Learning Data Science & Analytics | Machine Learning | Artificial Intelligence

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ˜„ Pronouns: She/Her/Hers

  • ๐Ÿ’ฌ Ask me about Python, R Programming, SQL, Exploratory Analysis, Data Visualization (Tableau, PowerBI, Qlik), Data Analytics, Alteryx, Machine Learning, Streamlit, AWS Cloud

  • ๐Ÿ† Check out my Letter of Recommendation from NEU Professors: https://rb.gy/u00lf

  • ๐Ÿ“ Blog: https://rrambhia22.wixsite.com/richarambhia/blog

Connect with me

rrambhia22

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rrambhia22

Languages, Tools, Libraries

python R mysql jupyter notebook anaconda tableau machine learning big data natural language processing java

Technical Skills

  • Industry Knowledge: Machine Learning, Big Data Analytics, NLP, Web Development
  • Programming Languages: Python, R Programming, SQL, Java, C, HTML, CSS
  • Machine Learning: Classification, Regression, Clustering, Deep Learning
  • Statistics & Probability: Regression Analysis, Hypothesis Testing, Linear Programming
  • Data Visualization: Tableau, PowerBI, GGplot, RShiny, Matplotlib, Seaborn
  • ETL Tools: Alteryx
  • Packages: Pandas, NumPy, Matplotlib, SciPy, Scikit-Learn, NLTK, Streamlit
  • Cloud: AWS, Hadoop, Spark, Snowflake
  • IDEs: Anaconda, Jupyter Notebook, Visual Studio, R Studio
  • Software and Tools: MySQL, GitHub, Microsoft Office, Eclipse, Selenium, Maven, Jira

bike_crash_analysis's People

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