- 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
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creating_bins and Percentiles [Gist]: Different useful SQL Scripts [Table Recode, Creating Bins and Percentiles, and DateTime Helper queries]
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Predicting-Credit-Card-Approvals(2023): Achieved 98% Accuracy with LOGREG Classifier, MinMaxScaler
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A-Visual-History-of-Nobel-Prize-Winners (2022): Performed EDA on winners’ demographics using seaborn
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Designing-a-Bank-Marketing-Database (2023): Modeled DB using Star Schema,& developed production scripts
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RTl-GL_mapping (2021): Improved market RTL-GL mapping tools’ runtime from Days to Hours by implementing Sigmoid layer and Adam Stochastic Optimization NN
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Evaluation-Form-Data-Extraction (2020): Built a survey Image Processing GUI using OpenCV and Tkinter
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Twitter-Sentiment-Analysis (2020): Analyzed Twitter data to discover top hashtags and identify the most positive US states using AFINN lexicon
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recommender.py [Gist]: Music artists Recommendation module using NMF and Cosine Similarity
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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:)
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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.
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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.
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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.
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Data Science Job Market Insights (2023): Conducted in-depth analysis of the market using Power BI
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HR Attrition Metrics (2022): Created a PBI report for HR metrics insights and analyzed attrition causes
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Power-BI_Reports: --needs refactoring
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DimDate.pbix [Gist]: Dax Code to create Dimensional Date Table
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microservices_udigram (2021): Developed Image Filtering Microser. App. using EKS, Travis, and Docker
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Comparison-between-Syncro-and-distrbuted-using-triplets-analysis: using cpp to comapre serial_proccessing, nonserial_proccessing, parallel_proccessing for DNA triplets data
- DBMS:
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blackJack.js [Gist]: A BlackJack Game with multiple players using Pure Functional JavaScript
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lazyloader.js [Gist]: performance observers for web util. // add <script src="/assets/js/util/perf.js"></script> for index.html(root) to work
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lodash.js [Gist]: My Implementation of some of the lodash lib
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debounce.js [Gist]: My Implementation of the Debounce Function