GasPump Dashboard
Python | Node.js | Express | SQL | MongoDB
Dynamic data visualization tool developed with Dash. Features include
interactive maps, statistical analysis, and tabular data presentation,
enabling users to explore gas station insights effortlessly (hosted on Heroku).
SPACEX FALCON 9 ANALYSIS
Python | Webscraping | Rest API | EDA | Visualization
| SQL | Flask | Folium | Plotly Dash | Machine Learning
The project delves into the feasibility of establishing a new player
in the rocket industry, SpaceY, to rival SpaceX, the brainchild of
billionaire industrialist Elon Musk.The methodology used implied:
Data collection with Webscraping and SpaceX Rest API; Data wrangling;
Exploratory data analysis (EDA) with visualization and SQL; Interactive
visual analytics with Folium and Plotly Dash; Predictive analysis using
classification models like Decision trees, Logistic Regression, SVM and KNN.
CAR PRICE DATA ANALYSIS
Python | Descriptive Statistics | Scatter Plots | HeatMaps | Correlation analyses | Power BI
The objective of this project was to analyze car price data to identify
key variables influencing car prices.Questions addressed included
examining the relationship between drive systems and vehicle prices, and
whether engine size could predict car prices.Descriptive statistics,
scatter plots, heatmaps, and correlation analyses were employed.
DETECTING FRAUD IN STOCK DATA
Python | yfinance | Webscraping | Rest API | Financial Analysis
The project focuses on detecting fraudulent activities and identifying
suspicious stock behavior within stock data for a hedge fund.
Data extraction was conducted utilizing the yfinance library,
resulting in a pandas dataframe.
Historical stock prices were obtained using the history() method,
with the period parameter determining the data timeframe. Additionally, dividends were
analyzed to assess profit distribution to shareholders.
AGE-RELATED BLOOD PRESSURE VARIATIONS AND EDUCATIONAL ATTAINMENT
Descriptive Statistics | Frequency tables |
Individual summary statistics | Graphical summaries
The primary objective of this project was to investigate differences
in blood pressure and educational attainment based on age, aiming to
determine if aging directly influences blood pressure.Various
analytical techniques, including frequency tables, numerical summaries,
individual summary statistics, and graphical summaries, were employed.
REAL ESTATE DATA ANALYSIS
MS Excel | Statistical Methods | Trend Analysis |
The project aims to provide insights into the dynamics of the housing market
and rental sector, particularly focusing on market values of housing units and Fair
Market Rents over the period from 2005 to 2013.