Currently, work as a Data Analyst in healthcare. I love digging into complex data sets and producing insightful, data-driven strategic recommendations.

I am a Software Engineer who enjoys being challenged and engaging in projects that require me to work outside my comfort and knowledge set, as continuing to learn new languages and development techniques is important to me.

Capstone project (Radiation therapy wait time optimization) New

1. Work

Restaurant rating prediction using machine learning

Predicting rating of a restaurant based on different factors using machine learning. Identifying factors that play an important role in determining the success of a restaurant, will help them make business decisions in becoming sustainable and profitable.
  • Scikit-learn
  • Jupyter
  • Matplotlib
  • Tableau
  • Tableau
Twitter sentiment analysis using NLP

The goal of the project is to accurately categorize a tweet into positive, negative or neutral using Natural Language Processing (NLP).Finally, I applied various machine learning models, of which Naive Bayes performed best, with the highest accuracy.
  • NLP
  • Jupyter
  • Matplotlib
  • Scikit-learn
PIMA Indians diabetes prediction using machine learning

The goal of the project is to accurately predict if a patient has diabetes or not based on several different factors such as blood glucose level, blood pressure, skin thickness, insulin , BMI , age and number of pregnancies using machine learning.
  • Scikit-learn
  • Jupyter
  • Matplotlib
  • Tableau
  • Tableau
COVID-19 USA-Canada analysis

Visualized the trend of spread of COVID in the USA and then the trend in the states along the USA-Canada border using Tableau. Finally, visualized the cases in Detroit as the Ambassador Bridge (Windsor-Detroit) is the busiest international border crossing in North America in terms of trade volume.
  • Tableau Dashboard
  • Tableau Story
  • Data visualization
  • Tableau
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2. Experience

3. Contact Me

I am always looking to meet new people and learn new skills, so drop by and say hi.