Hi, I'm Ananya Bajpai...
Computer Science Student

Curious about technology, ideas and the process of learning.

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ABOUT ME

I’m Ananya Bajpai, a second-year Computer Science and Engineering student at Institute of Engineering and Technology, Lucknow.

I’m currently diving deep into full-stack web development and Machine Learning with Data Science. Though I’m early in my journey, I’ve already built projects like a loan approval prediction model, transforming raw data into practical solutions. What truly drives me is the joy of bringing my imagination to life through code.

I love breaking down complex problems, solving them piece by piece, and constantly learning something new. When I’m not coding, you’ll find me lost in novels or scribbling poems. This mix of analytical thinking and creativity keeps my approach fresh and effective.

I’m actively looking for internships where I can contribute meaningfully, learn from great teams, and grow as a developer. If you’re working on something exciting, I’d love to chat.

EDUCATION
  • Bachelor's in Computer Science
  • Institute of Engineering and Technology Lucknow
  • 9.62 CGPA
  • CURRENT FOCUS
  • Mastering Data Structures and Algorithms and Problem Solving
  • Building Full-Stack Web Applications
  • Exploring Data Science and Machine Learning
  • OTHER INTERESTS
  • Creative Writing and Storytelling
  • Reading Fiction
  • Travelling and Exploring New Places
  • SKILLS

    Programming Languages

    Java
    Python
    HTML5
    CSS3
    JavaScript
    C
    SQL

    Web-Technologies

    Flexbox
    Responsive Design

    Machine Learning and Data Science

    NumPy
    Pandas
    Scikit-Learn
    Exploratory Data Analysis(EDA)
    Data Visualization
    Feature Engineering

    Tools & Platforms

    Git
    GitHub
    VS Code
    Jupyter Notebook

    Coding Profiles

    200+ Problems Solved on Leetcode
    LeetCode Contest Rating: 1460
    PROJECTS
    house-img

    House Price Prediction

    Developed a machine learning regression model to predict house prices in Bangalore using real-world features and advanced data preprocessing techniques.

    Python
    Pandas
    Scikit-Learn
    Matplotlib
    Seaborn
  • Performed extensive Exploratory Data Analysis and Feature Engineering
  • Compared multiple models (Linear Regression, Decision Tree, Random Forest)
  • Achieved strong model performance of
  • Gained deep insights into real estate market factors
  • project-image

    Loan Approval Prediction

    Built a classification model to predict whether a loan application will be approved based on applicant data.

    Python
    Pandas
    Scikit-Learn
    Jupyter Notebook
  • Experimented with multiple classification algorithms
  • Handled imbalanced data and missing values effectively
  • Evaluated models using accuracy, precision, recall, and F1-score
  • Created detailed visualizations for better understanding of data patterns
  • project-img

    Spotify Popularity Analysis

    Conducted Exploratory Data Analysis to understand the factors that influence song popularity on Spotify.

    Python
    Pandas
    Matplotlib
    Seaborn
  • Analyzed audio features, artist popularity, and release trends
  • Created insightful visualizations to identify key success factors
  • Derived actionable insights from large music datasets
  • project-img

    Trader Performance vs Market Sentiment

    Analyzed the relationship between trader performance and overall market sentiment as part of an internship selection challenge.

    Python
    Pandas
    Data Visualization
  • Delivered analysis and insights within a tight deadline
  • Built trading strategy recommendations based on sentiment data
  • Worked with provided real-world dataset
  • CERTIFICATIONS
    nptel-cert

    Python for Data Science

    NPTEL | IIT Madras

      -Elite + Gold
      -Top 1%
      -90% score
    Mastered Pandas, NumPy, Matplotlib, Seaborn & built classification and regression projects
    oop-cert

    Object Oriented Programming in Java

    IBM

      -OOP techniques to define and implement classes
      -OOP concepts: Inheritance, Polymrphism, Interfaces
      -Object Oriented Design