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AshutoshSingh058/Readme.md

Hi, I'm Ashutosh Singh ๐Ÿ‘‹

AI/ML Engineer | Applied Machine Learning | Data-driven Problem Solver


๐Ÿ‘จโ€๐Ÿ’ป About Me

  • Pre-final year Computer Engineering student
  • Strong focus on Machine Learning, Data Analysis, and Applied AI
  • Enjoy working on real-world datasets, not toy problems
  • Interested in AI systems that scale and create impact

๐Ÿง  Core Skills

Machine Learning

  • Supervised & Unsupervised Learning
  • Feature Engineering, Model Evaluation
  • Scikit-learn, XGBoost, Random Forests

Data & Analytics

  • Pandas, NumPy, EDA
  • Data cleaning, visualization, insight generation

Programming

  • Python (primary)
  • SQL (analytics & querying)

๐Ÿš€ Selected Projects

  • Social Media Bot Detection
    ML pipeline using metadata + text features (TF-IDF, Random Forest)

  • Weather Prediction System
    Feature engineering on temporal & climatic variables

  • Data Analysis Dashboards
    Insight-driven visualizations for large datasets

(More in repositories โ†“)


๐Ÿค Connect

Pinned Loading

  1. BotDetectionModel BotDetectionModel Public

    Metadata-driven machine learning system for identifying automated social media accounts using behavioral and profile-level features.

    Jupyter Notebook

  2. Corporate-Bankruptcy-Prediction Corporate-Bankruptcy-Prediction Public

    Machine learning model for predicting corporate bankruptcy using financial ratios and structured tabular data, emphasizing feature engineering, model evaluation, and business risk interpretation.

    Jupyter Notebook

  3. AI-Powered-KYC-Automation AI-Powered-KYC-Automation Public

    End-to-end KYC automation pipeline that verifies user identity by extracting document text via OCR, checking cross-document consistency, and screening against PEP & AML lists to enable fast compliaโ€ฆ

    JavaScript

  4. DataSentience-AIML DataSentience-AIML Public

    Forked from PRIYANSHU2026/DataSentience-AIML

    Open-source contributions to AIML projects as part of a structured SOC program, focusing on collaborative development, experimentation, and applied machine learning workflows.

    Jupyter Notebook