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Cyberoctane29/README.md

Hi, I'm Saswat!

cyberoctane29

Pursuing IIT Madras Diploma in Data Science | AI/ML Training Contributor (Freelancer) at Alignerr | Former Database & SQL Intern at Central University of Odisha | Computer Science (AI & ML) Graduate

  • Data Analytics & AI/ML Practitioner: Passionate about transforming data into actionable insights through analytics, machine learning, business intelligence, and AI evaluation. Experienced in developing end-to-end analytical solutions and delivering data-driven recommendations.

  • SQL, Python & Data Visualization: Skilled in data querying, cleaning, analysis, visualization, and dashboard development using SQL (MySQL), Python (Pandas, NumPy, Scikit-learn, Matplotlib, and XGBoost), Power BI, Tableau, and Excel.

  • Machine Learning & Statistical Analysis: Hands-on experience in exploratory data analysis (EDA), feature engineering, hypothesis testing, statistical modeling, predictive analytics, classification, clustering, model evaluation, and data storytelling across real-world analytics projects.

  • AI Evaluation & LLM Benchmarking: Currently contributing as an AI/ML Training Contributor (Freelancer) at Alignerr, working on LLM evaluation, benchmark curation, quality assurance, data validation, adversarial testing, and human-in-the-loop AI assessment workflows.

  • Business-Focused Data Practitioner: Proficient in Excel, Power BI, Tableau, BigQuery, and modern AI tools, leveraging data-driven methodologies to optimize business processes, support decision-making, and generate actionable insights.

  • Collaborative & Strategic Thinker: Skilled in stakeholder communication, technical documentation, project presentation, leadership, problem-solving, and translating analytical findings into business impact.

  • đź“„ You can view my resume: Resume

  • đź’Ľ Explore my projects & experiences: Portfolio

  • đź“« How to reach me: saswatseth.work@gmail.com

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 5

  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 4

  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