This is a Catalogue of all my related Data projects and others

Recommended Projects

Global Terrorism: Exploratory Data Analysis and Dashboarding (2023): As a security/defense analyst, we will try to find the hot zone of terrorism across the world.
Case Study #2 - Pizza Runners:
Super Store Retail: Exploratory Data Analysis and Dashboarding(2023): As a business manager, we will try to find out the weak areas where we can work to make more profit. what all business problems we can derive by exploring the data.
Twitter-Sentiment-Analysis (2020): Analyzed Twitter data to discover top hashtags and identify the most positive US states using AFINN lexicon

Case Study #1 - Danny's Diner:
Case Study #2 - Pizza Runners:
Analyzing_american_babies_names_tends:
Analyze-International-Debt-Statistics:
Analyzing-Unicorn-Companies:
Analyzing-Industry-Carbon-Emissions:
creating_bins and Percentiles [Gist]: Different useful SQL Scripts [Table Recode, Creating Bins and Percentiles, and DateTime Helper queries]

Predicting-Credit-Card-Approvals(2023): Achieved 98% Accuracy with LOGREG Classifier, MinMaxScaler
Handwashing_effect_on_birthrate_featality:
A-Visual-History-of-Nobel-Prize-Winners (2022): Performed EDA on winners’ demographics using seaborn
The-Android-App-Market-on-Google-Play:
github_history_of_scala_language:
Investigating-Netflix-Movies-and-Guest-Stars-in-The-Office:
Designing-a-Bank-Marketing-Database (2023): Modeled DB using Star Schema,& developed production scripts
RTl-GL_mapping (2021): Improved market RTL-GL mapping tools’ runtime from Days to Hours by implementing Sigmoid layer and Adam Stochastic Optimization NN
Evaluation-Form-Data-Extraction (2020): Built a survey Image Processing GUI using OpenCV and Tkinter
data-mining-script-prototype:
Titanic-survival-analysis_using-python-notebook:
Twitter-Sentiment-Analysis (2020): Analyzed Twitter data to discover top hashtags and identify the most positive US states using AFINN lexicon
recommender.py [Gist]: Music artists Recommendation module using NMF and Cosine Similarity
emp_state_60_steps_odds.py [Gist]: What are the odds that you'll reach 60 steps high on the Empire State Building? (Hacker Stats!) XD:)

Global Terrorism: Exploratory Data Analysis and Dashboarding (2023): As a security/defense analyst, we will try to find a hot zone of terrorism across the world.
Super Store Retail: Exploratory Data Analysis and Dashboarding(2023): As a business manager, we will try to find out the weak areas where we can work to make more profit. what all business problems we can derive by exploring the data.
PetMind-Repeat-Purchase-Study (2023): Analyzing the correlation between Repeat Purchase and Sales for a pet store, An Analysis for the Datacamp Data Analyst Associate certificate.
Data Science Job Market Insights (2023): Conducted in-depth analysis of the market using Power BI
HR Attrition Metrics (2022): Created a PBI report for HR metrics insights and analyzed attrition causes
Power-BI_Reports: --needs refactoring
DimDate.pbix [Gist]: Dax Code to create Dimensional Date Table

UDAGRAM_AWS:
microservices_udigram (2021): Developed Image Filtering Microser. App. using EKS, Travis, and Docker
Comparison-between-Syncro-and-distrbuted-using-triplets-analysis: using cpp to comapre serial_proccessing, nonserial_proccessing, parallel_proccessing for DNA triplets data

blackJack.js [Gist]: A BlackJack Game with multiple players using Pure Functional JavaScript
lazyloader.js [Gist]: performance observers for web util. // add <script src="/assets/js/util/perf.js"></script> for index.html(root) to work
lodash.js [Gist]: My Implementation of some of the lodash lib
debounce.js [Gist]: My Implementation of the Debounce Function
calc.js [Gist]: A Basic Calculator in DHTML