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๐Ÿ™‹ Introducing Myself

Design 11 (10)

Hey , This is Kasi

๐ŸŒŸ Welcome to my GitHub profile! ๐ŸŒŸ

๐Ÿคœ๐Ÿซธ๐Ÿซฑportfolio๐Ÿซฒ๐Ÿซท๐Ÿค›

๐Ÿคทโ€โ™‚๏ธ About Me:

I'm a CS Masters student in AIML & DS with expertising in data analysis and reporting, query optimization, data modelling and data visualizations.

Coding
  • Generate reports and perform data analysis by querying data using SQL.
  • Developing dashboards on Tableau and Excel.
  • Data analysis and reporting using Google Sheets and Microsoft Excel.
  • Utlizing Python and its libraries for data manipulation and wrangling.
  • A brief EDA using Hypothesis Testing and Feature Engg using Scipy for Statistical Analysis.
  • Currently pioneering in Prompt Engineering and GenAi through HuggingFace๐Ÿค—
  • Currently Learning the Machine learning algorithms(Supervised and Unsupervised).

๐Ÿ“š Here, I document a summary of my project works.

๐Ÿ“‚ My Work Index ๐Ÿ‘‡

๐Ÿ—‚๏ธ Explore the index of all my works, and click on the project link icon to view detailed information.


๐Ÿค– Machine Learning

Project Link ๐Ÿซต๐Ÿผ Tools Used Area of Analysis Project Description
LoanTap(click icon to view) Numpy, Pandas, Seaborn, scipy, sklearn, Normalization, LogisticRegression, Model optimization EDA, Feature Engineering, Feature selection, MachineLearning, Predictive Modelling, Hyperparameter Tuning(ฮป), Cross_validation This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explored model optimization techniques to effectively mitigate default risks.
Jamboree(click icon to view) Numpy, Pandas, Matplotlib, Seaborn, scipy, statsmodels, Standarization, Linear,Ridge,Lasso,ElasticNet Regression. Exploratory Data Analysis , Data Visualization, probability & Stats, Hypothesis Testing, FeatureEngineering, MachineLearning, Predictive Modelling. This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

๐Ÿ Python & Libraries

Project Link ๐Ÿซต๐Ÿผ Tools Used Area of Analysis Project Description
Delhivery(click icon to view) Numpy, Pandas, Seaborn, scipy, Hypothesis testing, Encoding, Normalization & Standarization . Exploratoy Data Analysis , Data Visualization, probability & Stats, Hypothesis Testing, FeatureEngineering, OneHot encoding, MinMax scaler This repository of Delhivery's logistical endeavors, emphasizing the utilization of data processing, feature extraction, and hypothesis testing methodologies, A meticulous comparison analysis of ACTUAL vs OSRM time-distance metrics, we unveil intricate patterns, providing invaluable insights and metrics for decision-making with precision.
yulu(click click icon to view) Numpy, Pandas, Seaborn, scipy , boxcox , Ttest , Chisquare , ANOVA , Kruskal-walis , Shapiro-wilk , Mannwhitney_u. Data analysis, Data Exploration , Data Visualization, Statistics & probability,Hypothesis Testing This repository provides a detailed exploration of Yulu Bike rentals data using Hypothesis testing, employing statistical techniques, we delve into the nuances of customer behavior, E-bikes rental patterns offering insights & key metrics to enhance understanding and inform strategic decisions.
walmart(click icon to view) Numpy, Pandas, Matplotlib.plotpy, Seaborn, Central Limit Theorem, scipy.stats, boxcox Data analysis, Data Exploration , Data Visualization, Statistics & probability, confidence interval This repository provides a detailed exploration of WALMART's BlackFridaySales data using the Central Limit Theorem (CLT) coupled with Confidence Interval Analysis. Leveraging statistical techniques, we delve into the nuances of customer behavior, purchase patterns.
Aerofit (click icon to view) Numpy, Pandas, Matplotlib.plotpy, Seaborn, statistics , probability Data analysis, Data Exploration , Data Visualization, Descriptive Statistics & probability This repository serves as a comprehensive solution for AEROFIT Company's Exploratory Data Analysis (EDA), employing descriptive statistics and probability to gain insights and inform strategic decisions.
Netflix (click icon to view) Numpy, Pandas, Matplotlib.plotpy, Seaborn Data cleaning , Data analysis, Data Exploration , Data Visualization This repository conducts an Exploratory Data Analysis (EDA) on the OTT streaming platform NETFLIX, offering insights into user behavior, content trends, and key metrics to enhance understanding and inform strategic decisions.

๐Ÿ“œSQL

Project Link ๐Ÿซต๐Ÿผ Tools Used Area of Analysis Project Description
MySQL(click icon to view) MySQL Data analysis, Data cleaning, Data Exploration This repo serves as the solution for some of the 8 case studies from the #8WeekSQLChallenge. It showcases my ability to tackle various SQL challenges and demonstrates my proficiency in SQL query writing and problem-solving skills.
supermarket(click icon to view) Google BigQuery Data analysis, Data Exploration This repo serves as the solution for the Buisness Case Study for the giant retail stores in Brazil. It showcases my ability to tackle SQL challenges and demonstrates my proficiency in SQL query writing and problem-solving skills and conferring Insights and Recommendations.

๐Ÿช„Tableau & PowerBi

Project Link ๐Ÿซต๐Ÿผ Tools Used Area of Analysis Project Description
Jupyter Notebook(click icon to view) Microsoft Excel, Bigquery, Tableau Data cleaning , Data analysis, Data Exploration , Data Visualization , Dashboard, Story, Video presentation This Individual interactive dashboard leverages the comprehensive & quantitative analysis of the state in India TELANGANA to achieve a sustainable Economic Growth. Click on this Button for the Overview Github .
Jenkins(click icon to view) Tableau, Microsoft Excel Data cleaning , Data analysis, Data Exploration , Data Visualization , Dashboard This vizz contains the analysis of the Stock prices of company META for the past five Years and prediction analysis for the next one year through Forecasting and using Model-Quantile & percentile concept of linear regression in tableau.
sara(click icon to view) PowerBi, Microsoft Excel Data cleaning , Data analysis, Data Exploration , Data Visualization , Dashboard This vizz contains financial report , Budget analysis for Sara Fashion Boutique and offerred sugesstion and key strategy recommendations for the Growth .
Jenkins(click icon to view) Tableau, Microsoft Excel Data cleaning , Data analysis, Data Exploration , Data Visualization , Dashboard , Story Creation This vizz contains the content & growth analysis of the company NETFLIX and offerred sugesstion and key strategy recommendations for the Growth .

๐Ÿ“—Microsoft Excel

Project Link ๐Ÿซต๐Ÿผ Tools Used Area of Analysis Project Description
Microsoft Excel(click icon to view) Microsoft Excel Data cleaning , Data analysis, Data Exploration , Data Visualization , Dashboard This vizz serves as the sales Analysis of Big Fashion Store named Fashio Shoppy who has branches allover Australia. (BEST viewed in Microsoft Excel fullscreen [Any Version])

๐Ÿ‘‡๐ŸผConnect with me

Feel free to text me !!!

Github

LinkedIn

Gmail Badge

Outlook

๐Ÿ› ๏ธ Tools & Languages

Here are some of the Tools and Languages that I use:

Google Drive MySQL Postgres

Python Visual Studio Code Anaconda jupyter Jupyter Notebook

NumPy Pandas mlflow Plotly Seaborn SciPy scikit-learn

Jenkins Microsoft Excel

Microsoft Microsoft Office DaisyUI Stellar Canva

๐Ÿ‘‡๐ŸผFORUMs

Here are some of the platforms where I Practice :

LeetCode

Hackerrank

Kaggle

CodeChef

HuggingFace

๐Ÿ“ฑProfile Stats

Statistics :

kasimuthuveerappan

kasi's github stats

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Top Langs


KASI's Projects

aerofit-casestudy icon aerofit-casestudy

๐Ÿ“˜ This repository serves as a comprehensive solution for AEROFIT Company's Exploratory Data Analysis (EDA), employing descriptive statistics and probability to gain insights and inform strategic decisions.

danny-ma-s-sql-challenges icon danny-ma-s-sql-challenges

๐Ÿ“” This repository provides solutions for SQL challenges created by Danny Ma, offering a comprehensive guide to mastering SQL through practical problem-solving.

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-structures-algorithms-python icon data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

delhivery-featureengineering icon delhivery-featureengineering

๐Ÿ“” This repository of Delhivery's logistical endeavors, emphasizing the utilization of data processing, feature extraction, and hypothesis testing methodologies, A meticulous comparison analysis of ACTUAL vs OSRM time-distance metrics, we unveil intricate patterns, providing invaluable insights and metrics for decision-making with precision.

ds-ai icon ds-ai

๐Ÿ“‘ Detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later โญ Happy Learning :)

generative-ai-for-beginners icon generative-ai-for-beginners

18 Lessons, Get Started Building with Generative AI ๐Ÿ”— https://microsoft.github.io/generative-ai-for-beginners/

gventuri-s-pandas-ai icon gventuri-s-pandas-ai

PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational

jamboree-linearregression icon jamboree-linearregression

๐Ÿ“— This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.

loantap-logisticregression icon loantap-logisticregression

๐Ÿ“” This repository delves into Logistic Regression for loan approval prediction at LoanTap. It covers data preprocessing, model development, evaluation metrics, and strategic business recommendations. Explore model optimization techniques such as confusion matrix, precision, recall, Roc curve and F1 score to effectively mitigate default risks.

netflix-eda icon netflix-eda

๐Ÿ“• This repository conducts an Exploratory Data Analysis (EDA) on the OTT streaming platform 'NETFLIX,' offering insights into user behavior, content trends, and key metrics to enhance understanding and inform strategic decisions.

target-analysis icon target-analysis

๐Ÿ“‘ This repository serves as a business case study for a prominent retail supermarket, leveraging SQL to analyze and derive valuable insights, aiding in strategic decision-making for the retail giant.

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