rrambhia22/motorvehiclecollisioncrashanalysis

The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.

Hello folks 👋, 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.

• 💙 Insights Analyst @Blue Cross Blue Shield of North Carolina. https://www.bluecrossnc.com/

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

• 👨🏽‍🎓 Graduate student from Northeastern University with a master's degree in Data Analytics.

• 👩‍💻 Computer Engineer from the University of Mumbai, India.

• 📚 Learning Data Science & Analytics | Machine Learning | Artificial Intelligence

• 📫 How to reach me [email protected]

• 😄 Pronouns: She/Her/Hers

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

• 🏆 Check out my Letter of Recommendation from NEU Professors: https://rb.gy/u00lf

• 📝 Blog: https://rrambhia22.wixsite.com/richarambhia/blog

Connect with me

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Languages, Tools, Libraries

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