Introduction

kriti bhardwaj / AI-ML Engineer

kriti bhardwaj.

Working with data and machine learning fundamentals. Focused on understanding patterns, building models, and solving problems through hands-on practice.

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About me

Analytical structure with a creative bias.

About

Understanding data, building with intent.

Started with Python and gradually moved into data analysis, visualization, and machine learning fundamentals. Built a clear understanding of how data is processed, cleaned, and transformed before applying models.

Worked with tools like Pandas and NumPy for data handling, and used visualization techniques to better understand patterns and trends. Learned core machine learning concepts including feature engineering, data preprocessing, and basic model building.

Continuously practicing with different datasets to strengthen understanding and improve decision-making with data. Focused on writing clean code, understanding the logic behind algorithms, and building a solid foundation for more advanced work.

Projects

Projects I've built.

3 projects
$

Laptop Price Predictor

Predicting market prices for laptops using machine learning.

Machine Learning

Laptop Price Predictor

Price prediction

A Streamlit app for estimating laptop prices from user-selected specs and hardware configuration.

Tech stack

PythonStreamlitMachine LearningRegression

Customer Churn Analysis

Identifying at-risk customers and optimizing retention using machine learning.

Machine Learning

Customer Churn Analysis

Retention insights

A churn analysis project focused on identifying at-risk customers and supporting retention decisions with data.

Tech stack

PythonData VisualisationData AnalysisNumPyPandasMatplotlibSeaborn

E-Commerce Analysis

Gaining data-driven insights to optimize sales performance and customer experience.

Data Analysis

E-Commerce Analysis

Sales insights

An e-commerce analysis project focused on uncovering sales patterns and customer behavior through visual insights.

Tech stack

PythonPandasPlotlyData AnalysisData Visualisation

Tech stack

Tools and technologies I use while learning and building.

Selected node

Python
86%

Machine Learning

Model building, preprocessing, feature engineering, and learning the fundamentals with clarity.

Active
Pythonscikit-learnNumPyModel BuildingPreprocessing

Data Analysis

Cleaning data, finding patterns, and using visual exploration to support better decisions.

Active
PandasMatplotlibSeabornData VisualisationPattern Analysis

Developer Tools

Daily tools used for practice, experimentation, version control, and a clean workflow.

Active
GitGitHubVS CodeClaude CodeJupyter

Contact

Let’s build something intelligent and visually exact.

Open to collaborations, projects, and meaningful ideas.

Client and route validation are both active.