Hi! As a highly trained data scientist and accomplished chemical engineer, I bring a unique perspective and expertise to the field of data analysis. With a Master's degree in Chemical Engineering and years of experience solving complex problems, I have developed a deep understanding of the importance of data-driven decision making. To further enhance my skills, I am currently enrolled in the University of Toronto Data Analytics Bootcamp, where I am honing my abilities to extract meaningful insights from large data sets and communicate findings in a clear and compelling manner. I am eager to apply my expertise to help organizations make informed decisions and drive meaningful results through data-driven strategies.
Open Source Contributions
This study analyzes air quality data from different countries to assess the impact of pollutants on mortality rates and disease burden. Using visualizations, we present the spatial distribution of pollutants and quantify their impact on human health. Our findings will inform policies and Actions to mitigate the harmful effects of air pollution.
Tools and Languages: #Python #SQL Alchemy #JavaScript #Leaflet #Plotly JS #HTML #CSS #Flask #PostgreSQL #ETL #JSON
Explore Belly Button Biodiversity with an interactive dashboard. Study catalogs navel colonizing microbes, including dominant species found in over 70% of individuals.
Tools and Languages:#JavaScript #D3 #Plotly JS #HTML #CSS #Bootstrap
Evaluated food hygiene rating data using MongoDB, PyMongo, and Pandas for the UK food magazine, Eat Safe, Love.
Tools and Languages:#Python #pyMongo #pandas #Regexr #JSON #matplotlib #MongoDB
This project implements the ETL process on crowdfunding data with Python and SQL. Raw data is extracted and transformed with Pandas and Python, and loaded into PostgreSQL via pgAdmin for optimized analysis.
Tools and Languages:#Python #pandas #Regexr #JSON #matplotlib #PostgreSQL #ETL #JSON
Successfully executed web scraping of NASA's Mars news website to gather the latest updates and information about the planet. Conducted comprehensive analysis of Mars weather data through web scraping, providing insights and trends.
Tools and Languages:#Python #pandas #splinter #Beautiful Soup #matplotlib
Designed and implemented a project focused on the analysis and exploration of Honolulu's climate data, aimed at helping individuals with their trip planning. Utilized advanced data analysis techniques to provide a comprehensive understanding of the climate in the area. Developed a climate application to aid in trip planning and provide valuable insights.
Tools and Languages: Python (SQL Alchemy, pandas, Flask, matplotlib, bokeh), HTML, JavaScript, CSS
This study delves into the impact of COVID-19 on Netflix's stock performance from 2019 to 2022 by analyzing various key indicators. The indicators used in the analysis include the daily number of cases and deaths, data drift, and traditional stock market metrics.
Tools and Languages: Python (pandas, SciPy, matplotlib, bokeh, yfinance, Plotly)
Travel companies can use this repository to target audience in bad weather through weather-targeted display or social campaigns. Offering flights, hotels, and resorts with aspirational creative highlighting sunny destinations increases the effectiveness of the strategy.
Tools and Languages: Python (pandas, SciPy, matplotlib, bokeh, citipy, hvplot, GeoView)