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My Projects

• Sentimenta.org

My project focused on determining stock sentiments using Natural Language Processing. Sentimenta is a website focused on helping users decide which companies to invest in.

I used NLP and extracted news articles from various news outlets, extracted company names and the headlines in which they appeared, and finally calculated companies’ overall sentiments (positive/negative) based on various keywords found in the headlines.

I designed layout of the website for ease of viewing. I am regularly improving the user interface and accuracy of data.

Software/Tools used: Python, MySQL, Linux, Apache, AWS EC2 and S3, Route 53, Jupyter Notebook, and NLTK.

• Tempe Accidents Dashboard

Created a dashboard to visualize Tempe accidents given different inputs of time, day, month, year, weather condition, direction, and more.

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Skills

Programming Languages

• Python
• R
• SQL, MySQL
• Scala
• HTML

Tools

• Tableau
• RStudio
• RShiny
• Jupyter Notebook
• DataBricks
• Github
• Git
• AWS EC2 and S3
• Route 53

Relevant Coursework

• Big Data Analytics
• Data Wrangling
• Data Analysis
• Data Visualization
• Statistics and Probability
• Regression Topics
• Program Evaluation

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