├── AD-HOC Requests | Consumer Goods Domain | SQL Project ├── Readme.md ├── ad-hoc-requests.pdf └── resume_project.sql ├── AIRBNB Outlier Detection and EDA ├── 0_1s0p0nQiz5xzfLQy.jpg ├── Airbnb Europe Dataset.csv └── Readme.md ├── Advanced Power Query Project: Footballer Stats ├── PQ Project.png ├── PQLoop.pbix ├── football fictional.xlsx └── readme.md ├── Adventure Works Cycles Dashboard [A PowerBI Project] ├── Readme.md └── adventure works.pbix ├── Atliq Hotels - A Hospitality Management PowerBI Dashboard ├── Atliq Project.pbix └── Readme.md ├── Business Insights 360 └── Readme.md ├── Cohort Analysis Using PowerBI ├── CA on retail dataset.pbix └── Readme.md ├── Cohort Analysis using SQL └── Readme.md ├── Data Search ├── Readme.md └── job market dashboard.pbix ├── Data Visualization Project (BASIC GGPLOT2) ├── Hourly weather data.csv ├── Readme.md ├── code.R └── plots │ ├── image1.png │ ├── image10.png │ ├── image11.png │ ├── image12.png │ ├── image13.png │ ├── image14.png │ ├── image15.png │ ├── image16.png │ ├── image17.png │ ├── image18.png │ ├── image19.png │ ├── image2.png │ ├── image20.png │ ├── image21.png │ ├── image22.png │ ├── image23.png │ ├── image24.png │ ├── image25.png │ ├── image26.png │ ├── image27.png │ ├── image28.png │ ├── image29.png │ ├── image3.png │ ├── image30.png │ ├── image4.png │ ├── image5.png │ ├── image6.png │ ├── image7.png │ ├── image8.png │ └── image9.png ├── EDA and Bivariate analysis of TSCS corruption data ├── EDA and bivariate analysis.Rmd ├── EDA-and-bivariate-analysis_files │ └── figure-gfm │ │ ├── unnamed-chunk-2-1.png │ │ ├── unnamed-chunk-3-1.png │ │ ├── unnamed-chunk-4-1.png │ │ ├── unnamed-chunk-5-1.png │ │ ├── unnamed-chunk-5-2.png │ │ ├── unnamed-chunk-6-1.png │ │ └── unnamed-chunk-6-2.png ├── Readme.md └── SchwindtBayer_Tavits_Data2016.csv ├── Financial Reporting in Power BI ├── Financial Reporting In Power BI.pdf ├── Readme.md └── data.xlsx ├── HR Analytics of Atlas Labs ├── Datasets │ ├── DimDate.txt │ ├── EducationLevel.csv │ ├── Employee.csv │ ├── PerformanceRating.csv │ ├── RatingLevel.csv │ └── SatisfiedLevel.csv ├── Readme.md └── hr analytics.pbix ├── Healthcare Analytics in PowerBI ├── Dataset │ └── hospital_inpatient_discharges_totalhipreplacement.csv ├── Readme.md └── healthcare analytics.pbix ├── ML Project || Predicting Insurance ├── Exploratory Data Analysis.ipynb ├── Exploratory Data Analysis.pdf ├── Feature Engineering.ipynb ├── Feature Engineering.pdf ├── Model Training and Tuning rest.ipynb ├── Model Training and Tuning young.ipynb ├── Model Tuning.ipynb ├── Model tuning.md ├── Predictive Health Insurance Model.pdf ├── Readme.md ├── premiums.xlsx ├── premiums_rest.xlsx └── premiums_young.xlsx ├── Maven Ecommerce ├── Maven E-Commerce MidProject.pdf ├── Readme.md └── mid project.sql ├── Maven Market ├── Maven Market 1.png ├── Maven Market 2.png ├── Maven Market 3.png ├── Maven Market.pbix └── Readme.md ├── Mitron Bank Credit Card ├── Insight Ideas from Tony.pdf ├── Mitron bank.pptx ├── Readme.md ├── problem_statement.pdf └── resume project 8 (1).pdf ├── PC Hardware Sales Insight - A PowerBI Dashboard ├── Readme.md └── Sales Insight.pbix ├── PYTHON | Fandango EDA Data Science Project ├── Fandango EDA.ipynb ├── Readme.md ├── all_sites_scores.csv └── fandango_scrape.csv ├── Pandas | Python| EDA on Hotel Booking Data ├── Pandas Project.ipynb └── readme.md ├── README.md ├── RFM Segmentation on Sales Data ├── RFM Data.csv └── Readme.md ├── UBER EDA ├── Readme.md ├── UBER EDA.pdf └── UBER_Eda.ipynb ├── Value Inc Data Analysis (Python + Tableau) ├── Python [EDA] │ ├── Data Link.txt │ ├── value inc project.ipynb │ └── value_inc_seasons.csv └── Tableau Workbook and Dashboard │ ├── Value Inc Sales Dashboard.png │ └── Value Inc Sales Dashboard.twbx ├── Web Scraping and Data Visualization ├── Book3.csv ├── Data Scraping.R ├── Readme.md ├── data-viz.html ├── data-viz_files │ ├── figure-gfm │ │ └── unnamed-chunk-5-1.gif │ └── figure-latex │ │ └── unnamed-chunk-5-1.gif └── test1.gif ├── Web Scraping and Data analysis ├── Codes.Rmd ├── Codes_files │ └── figure-gfm │ │ └── unnamed-chunk-8-1.png └── Readme.md ├── Web scraping, Data Cleaning and REGEX ├── Regex Report │ ├── Readme.md │ ├── regex work.rmd │ └── regex-work_files │ │ └── figure-gfm │ │ ├── unnamed-chunk-10-1.png │ │ ├── unnamed-chunk-10-2.png │ │ ├── unnamed-chunk-5-1.png │ │ ├── unnamed-chunk-5-2.png │ │ ├── unnamed-chunk-9-1.png │ │ └── unnamed-chunk-9-2.png ├── Web scraping and Cleaning Data │ └── clean-data-script.R ├── data │ ├── cleandata │ │ ├── angus_deaton_GoogleScholarCitations.csv │ │ └── jean_tirole_GoogleScholarCitations.csv │ └── rawdata │ │ ├── angus_deaton_GoogleScholarCitations.html │ │ └── jean_tirole_GoogleScholarCitations.html └── images │ ├── wordcloud_scholar_Angus_Deaton.png │ └── wordcloud_scholar_Jean_Tirole.png ├── Wine Classification using SVM ├── Readme.md ├── Wine Classification Using SVM.pdf ├── Wine Classification using SVM.ipynb └── wine_fraud.csv ├── Youtube 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