Hi, I'm Uzma
Analyst | Meditator | Chocolate Enthusiast
Delightful things:
dark chocolate desserts, freshly ground and brewed coffee, anything topped with melted cheese.
How I spend my time:
Learning marketable and non-marketable skills, moving in nature, cooking for people I love, reading - fiction - then non-fiction - then fiction again.
Goals:
1) Be kind to strangers everywhere.
2) Reach for the stars...
Python, R, Tableau, CSS3, Git, Bootstrap, JavaScript
Data Analysis to see the impact of Covid-19 on mental illness amongst the different age groups in USA. This analysis will be shared with investors to project profitable locations for mental health clinics and relaxation centers. We used python and pandas to extract and run exploratory data analyses. Then we used Postgres, pgAdmin, and SQLAlchemy to load and save the data set for supervised machine learning predictions. We used four regression machine learning models to optimize the accuracy of our ML model predictions.
Code Live DemoA prominent investment bank is interested in offering a new cryptocurrency investment portfolio for its customers. The company, however, is lost in the vast universe of cryptocurrencies. Through our unsupervised machine learning analysis, we demonstrated cryptocurrencies can be clustered in groups. While there are differences between all cryptocurrencies, there are definitive categorizations by our finding. We not only have found clustering patterns, but also identified outliers. Our finding is useful to help a business venture to further explore the world of cryptocurrencies and potential investments.
CodeAn Analysis of NYC Citi Bike-sharing initiative to provide potential investors a look into the highly-successful NYC Citibike bike-sharing program, so that they can decide if a bike-sharing program in their prospect cities could be a profitable business proposal. Tableau was used as the business intellegence software to aid the investors in decision-making actions for their future investments.
CodeThe analysis was done to create interactive maps using GeoJSON data maps with different layers to show the differences between the magnitudes of earthquakes all over the world for the last seven days and the tectonic plates around the globe. We used the JavaScript and the D3.js library to retrieve the coordinates and magnitudes of the earthquakes from the GeoJSON data from the USGS website. We used the Leaflet library to plot the data on a Mapbox map through an API request and create interactivity for the earthquake data.
CodeTo answer important business questions for the company’s HR department, we utilized PostresSQL as the data base to load, build, and host the company data. We used pgAdmin to run SQL queries and generated multiple analyses in a well-designed database with reporting capabilities. The final data reporting can be adapted by any large coorporation to prepare for retaining employees as well as plan for retiring employees and mentorship program guides for young talents.
Code