Machine Learning Engineer

Simran.

I work with data in Python, build models with Scikit-learn, and try to understand why they work, not just that they do.

Open to internshipsIndia
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01  About

A little about me

Curious by nature.
Driven by questions.

I got into machine learning because of one question: how does a computer pick up a pattern nobody wrote down for it?

I like the whole path of a problem. Looking at the data, fixing what is wrong with it, training something, and then testing it properly.

I prefer simple models I can explain over complicated ones I cannot. Right now I am building strong foundations in classical ML.

02  Skills & Tools

The toolkit

Skills & tools

The tools I use to explore data, build models, and solve problems.

01

Languages

PythonSQL
02

Machine Learning

Scikit-learnModel evaluationFeature engineering
03

Data & Visualization

NumPyPandasMatplotlibSeaborn
04

Tools

VS CodeGitGitHubKaggle

03  Selected Projects

  • 01

    Movie Recommender System

    Suggests movies similar to the one you pick, by turning movie data into features and measuring how close they are.

    Recommendation
    • Python
    • Pandas
    • Scikit-learn
  • 02

    SONAR: Rock vs Mine

    A classifier that separates rocks from mines using sonar signal readings, evaluated with a proper train and test split.

    Classification
    • Python
    • NumPy
    • Scikit-learn

04  Experience

Add duration

SphereX

Community Representative

  • Link between the SphereX community and its members, keeping communication clear.
  • Helped run events and activities so more students could join and learn together.
Company website

05  Certifications

Learning in practice

Courses & credentials

A record of the skills I’ve been developing through learning and hands-on work.

06  Contact

Have an idea?

Let's makesomething meaningful.

Open to machine learning opportunities, collaborative projects, and thoughtful conversations about data.