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Deep Keni

@deepkeni

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Machine Learning fresher at Innovexis who developed a Streamlit real estate advisor with XGBoost and Random Forest.

India

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What I'm looking for

I’m looking to apply my data-driven problem-solving and technical skills to extract insights and build ML-powered products.

At Innovexis, I completed individually assigned machine learning projects in Python, cleaning and preprocessing datasets, training predictive models, and evaluating their performance. I also used AI-assisted tools to speed up coding and debugging.

I developed a Streamlit real estate investment advisor using XGBoost and Random Forest to assess investment viability and forecast property values. I also built a fake internship offer letter detection system for the TCS 90-Minute Hackathon, which was shortlisted for the final round.

Experience

Work history, roles, and key accomplishments

Machine Learning Intern

Innovexis

Feb 2026 - Apr 2026 (2 months)

Completed individually assigned machine learning projects, working independently in Python with Pandas, NumPy, and Scikit-learn. Cleaned and preprocessed datasets, trained predictive models, and evaluated them using standard performance metrics.

Python Pandas NumPy scikit learn data preprocessing Model Evaluation AI assisted Development

College Committee Member

Entrepreneurship and Innovation Cell

Contacted potential sponsors and contributors for college events, explaining the event and asking for support. Helped raise contributions to fund and organize college-level events.

Communication Skills Fundraising Event Coordination