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Projects in Awesome Lists by sayed-ashfaq

A curated list of projects in awesome lists by sayed-ashfaq .

https://github.com/sayed-ashfaq/target-sql

In this project, I analyzed Target company's data using SQL in BigQuery, focusing on data extraction, manipulation, and performing various analytical queries to derive insights.

aggregation bigquery cte joins sql

Last synced: 23 Dec 2024

https://github.com/sayed-ashfaq/yulu-hypothesistesting

In this project, I analyzed Yulu bikes' usage patterns by performing data visualization and applying various hypothesis testing methods. This included statistical tests, chi-square tests, variance testing, QQ plots, and checking for normal distribution to uncover insights related to customer usage and behavior.

anova-test chisquare-test hypothesis-testing pandas-dataframe python scipy-stats seaborn ttest

Last synced: 03 Jan 2025

https://github.com/sayed-ashfaq/aerofit-datavisualization

This project focuses on extracting insights through data visualization and probability methods, including Bayes' theorem and conditional probability, to analyze sales trends and uncover key patterns for actionable insights.

Last synced: 03 Jan 2025

https://github.com/sayed-ashfaq/netflix_datacleaning

Netflix data analysis highlights significant null values, requiring cleaning and visualization to uncover viewer trends and regional insights. Improving data quality, personalizing recommendations, and targeting untapped markets can drive growth and profitability.

matplotlib-pyplot numpy-library pandas-library python seaborn-plots

Last synced: 03 Jan 2025

https://github.com/sayed-ashfaq/tableaudashboard-sales-customer

I designed interactive Tableau dashboards with navigation, parameters, and clickable charts. Key features include KPIs, bar charts, and trend charts for sales and customer insights, enabling dynamic and actionable visualizations.

bar-charts kpi tableau-dashboards tableau-public trend-line-chart

Last synced: 03 Jan 2025

https://github.com/sayed-ashfaq/walmart_dataanalysis

This project focuses on extracting insights from raw data through various analyses, including exploring distributions, visualizing data with plots, and calculating measures of central tendency. The goal is to uncover meaningful patterns and trends within the dataset.

boxplot-visualization matplotlib-pyplot normal-distribution numpy-library pandas-dataframe python seaborn

Last synced: 03 Jan 2025

https://github.com/sayed-ashfaq/delhivery-dataanalysis

In this project, I conducted basic analysis, feature engineering, normalization, and outlier handling, along with statistical and non-parametric testing to extract insights.

feature-engineering normalization outlier-detection pandas python scikit-learn statistcal-tests statistical-analysis

Last synced: 26 Dec 2024