Name: Ana Orenstein Bisker
Type: User
Bio: Entry Level Data Analytics, multidisciplinary background.
Enjoys combining programming with in-depth creative exploration to approach complexity.
Location: Rockville, MD USA
Blog: Email: [email protected]
Ana Orenstein Bisker's Projects
Storyboard on Tableau modeling a bike-sharing program in Des Moines, Iowa; using visualizations of analysis on Jupyter Notebook of the NYC’s Citi Bike app data on various features.
Webpage hosting a dashboard of scientific study of bacterial cultures with visualizations; using Plotly, HTML, Javascript, CSS and Bootstrap.
Trained and tested various predictive Supervised Machine Learning algorithms to analyze statistical risks involved in granting loans.
Used unsupervised machine Learning predictive algorithm to analyze the investment prospects and tendencies of cryptocurrencies.
Used Python to manipulate and audit tabulated election result data.
Analysis of large .CSV files with employee data using SQL in PgAdmin, revealing relevant data for HR department on retirement status of staff.
Analysis of datasets of fundraising campaigns using Pivot Tables on Excel.
Car dealership technical assessment using R Tools for summary statistics, linear regression, p-values and r-squared values. Design of statistical study to compare performance against competition.
Used Pandas to extract movie data from Kaggle and web scraping, clean data on Jupyter notebook, and load data on PostrgeSQL and PgAdmin.
Used Pandas and SQLAlchemy to query a weather database on SQLite and analyze best location prospects for surfing town business in Hawaii.
Final group project of Data Analytics Bootcamp. Designed and tested predictive Machine Learning models and created in-depth data story on Tableau.
Ride-sharing app’s costumer database cleaned and analyzed from various perspectives using Pandas on Jupyter Notebooks; informing client with visualizations in Matplotlib.
Used Pandas on Jupyter Notebooks to clean and analyze grades and student performances across a district.
Coding in Macros in Excel VBA to gauge and compare stock market performances.
Deployed HTML portal using JavaScript, CSS, d3, Bootstrap hosting interactive tool that filters databases of UFO sightings across the USA.
News scraped from NASA’s live website using Jupyter Notebook, BeautifulSoup, Splinter; web app with Flask, HTML, JavaScript, Bootstrap displays NoSQL database on MongoDB; interactive refresh.
Data collection from API, data processing based on weather preferences; itinerary and hotel suggestions with visualizations for a travel app clientele.