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Cyberoctane29/README.md

Hi, I'm Saswat!

cyberoctane29

  • 🌱 Data Analytics & Machine Learning Enthusiast: Passionate about transforming data into actionable insights, developing end-to-end analytics and predictive model pipelines, and delivering impactful solutions.

  • 💾 SQL, Python & Data Visualization: Skilled in data querying, cleaning, analysis, and visualization using SQL (MySQL), Python (pandas, NumPy, scikit-learn, XGBoost,Matplotlib, and more), and Tableau.

  • 📊 Advanced Analytics, AI & ML Explorer: Skilled in EDA, feature engineering, hypothesis testing, statistical modeling (probability, regression, classification, etc), machine learning (supervised, unsupervised, decision trees, random forests, XGBoost, clustering and more), and ethical data storytelling.

  • 📈 Business-Focused Data Practitioner: Proficient in Excel, BigQuery, Google AI Studio, and Prompt Engineering to streamline data processing and optimize advanced analytics workflows for business impact.

  • 🤝 Collaborative & Strategic Thinker: Skilled in presentation, leadership, stakeholder communication, project management, and business acumen, ensuring data solutions drive strategic impact.

  • 📫 How to reach me: [email protected]

  • 📄 You can view my resume: Resume

  • 💼 Explore my projects & experiences: Portfolio

Cyberoctane29

GitHub Streak

Cyberoctane29's Profile Details

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  1. TikTok-Claims-Classification-End-to-End-Analysis-and-Modeling TikTok-Claims-Classification-End-to-End-Analysis-and-Modeling Public

    This project involves analyzing TikTok videos to classify claims vs. opinions using Python. It includes EDA, statistical tests, logistic regression, and ML models (Random Forest, XGBoost) to suppor…

    Jupyter Notebook 3

  2. Salifort-Motors-Predicting-Employee-Turnover-and-Improving-Retention-Analysis-and-Modeling Salifort-Motors-Predicting-Employee-Turnover-and-Improving-Retention-Analysis-and-Modeling Public

    In this project, I work as a data analytics professional at Salifort Motors, a fictional leader in alternative energy vehicles. I analyze employee survey data to identify turnover drivers and build…

    Jupyter Notebook

  3. Invistico-Airlines-Customer-Satisfaction-Prediction-End-to-End-Analysis-and-Modeling Invistico-Airlines-Customer-Satisfaction-Prediction-End-to-End-Analysis-and-Modeling Public

    This project presents an end-to-end workflow for predicting airline customer satisfaction using survey data. It involves building and evaluating classification models (Logistic Regression, Decision…

    Jupyter Notebook

  4. Deutsche-Bank-Customer-Churn-Prediction-End-to-End-Analysis-and-Modeling Deutsche-Bank-Customer-Churn-Prediction-End-to-End-Analysis-and-Modeling Public

    In this project, I aim to predict customer churn for Deutsche Bank using supervised machine learning. It involves data exploration, feature engineering, and building Naive Bayes, Decision Tree, Ran…

    Jupyter Notebook

  5. CUO-On-Site-Internship--Retail-Store-Database-Evaluation-and-Optimization CUO-On-Site-Internship--Retail-Store-Database-Evaluation-and-Optimization Public

    This repository showcases my internship project at CUO, focused on querying and analysing a music retail store database. Key tasks included analyzing the schema, improving query performance, ensuri…

    Jupyter Notebook 2

  6. Cyclistic-Bike-Share--Analyzing-Rider-Behavior Cyclistic-Bike-Share--Analyzing-Rider-Behavior Public

    Analyzed Cyclistic's bike-share data to uncover usage differences between casual riders and annual members. Utilized SQL and MySQL for data processing, R for visualisation, and Kaggle for collabora…

    Jupyter Notebook 1