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ANKITKUMARSINGH2004/README.md

👋 Hi, I’m Ankit Kumar Singh

🎯 Aspiring Data Scientist | Data Analyst | Business Analyst
💡 Passionate about turning data into actionable insights and building impactful solutions with Python, SQL, Machine Learning, and BI tools.

🚀 About Me

  • 🎓 Currently pursuing B.Tech in Computer Science (Lateral Entry)
  • 💻 Hands-on experience in Python, SQL, Excel, Tableau, Power BI, and Machine Learning
  • 📊 Skilled in data analysis, visualization, and building predictive models
  • 🌍 Open to opportunities in Data Analytics, Business Analytics, and Product roles
  • ⚡ Fun fact: I’m a #Brainstormer who enjoys solving real-world problems through data

🛠️ Skills & Tools

  • Programming & Data: Python (Pandas, NumPy, Scikit-learn), SQL, Excel
  • Visualization & BI: Tableau, Power BI, Matplotlib, Seaborn
  • Databases: MySQL, NoSQL
  • Concepts: Data Analysis, Machine Learning, ETL Pipelines, Time-series Analysis
  • Others: Git, Jupyter Notebook, Google Colab

💼 Experience

  • Data Analyst Intern @ Spyne.ai

    • Built automated dashboards & performed real-time data analysis
    • Provided insights that supported faster decision-making across teams

  • Machine Learning Intern @ Navodita Infotech

    • Developed a Fraud Detection Model, reducing false positives by 10%
    • Improved predictive accuracy by 20% through feature engineering

📌 Projects

  • 📈 Recommendation System – Boosted user engagement by 25% through personalized recommendations
  • 🛒 E-commerce Sales Dashboard – Designed interactive Tableau dashboard for sales insights
  • 🔍 Fraud Detection System – Enhanced fraud prediction using ML algorithms

📊 GitHub Stats

Ankit's GitHub stats

Top Langs

📫 Connect With Me

✨ "Data is the new oil, and I love refining it into insights that power decisions."

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  1. Credit_Card-Fraud-Detection-System Credit_Card-Fraud-Detection-System Public

    This Repository contains my solutions and project work of Machine learning model for Credit Card fraud detection.

    Jupyter Notebook

  2. webhook-delivery-service webhook-delivery-service Public

    Backend webhook delivery service with subscription management, async processing, retries, caching, logging, and minimal UI. Built with FastAPI, Celery, Redis, and PostgreSQL.

    Python

  3. Ecommerce-Transaction-Datasets Ecommerce-Transaction-Datasets Public

    This project performs an in-depth EDA on a dataset of Ecommerce transactions, aiming to uncover insights about transaction patterns, customer demographics, and financial behaviors. Through data pre…

    Jupyter Notebook

  4. Recommendation-System Recommendation-System Public

    This is a Python-based movie recommendation model that uses collaborative filtering to suggest movies based on user preferences. It gives a basic recommendation system, content based recommendation…

    Jupyter Notebook

  5. EDA_Of_Sales_Data_Worldwide EDA_Of_Sales_Data_Worldwide Public

    Case Study

    Jupyter Notebook

  6. Segwise_QA_Report Segwise_QA_Report Public

    QA Intern Assignment for Segwise.ai — includes functional testing report, regression checklist, and Selenium automation script.

    Python