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Devendra Gehlot

@devendragehlot

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Aspiring data scientist leveraging internship experience to build predictive ML models and data-driven insights.

India

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What I'm looking for

I’m seeking an opportunity in Data Science or Machine Learning where I can apply my analytical skills, build and evaluate predictive models, and contribute to data-driven decision making through clean analysis and clear visualization.

I’m an aspiring data scientist with hands-on internship experience in data analysis, visualization, and machine learning model development and evaluation. I focus on building predictive solutions that turn real-world datasets into reliable insights for decision-making.

I’ve developed end-to-end ML workflows, including data preprocessing, feature engineering, exploratory data analysis (EDA), and model evaluation. In my internship work, I built a diabetes prediction model using Random Forest, applying feature engineering and model tuning to improve performance.

I also enjoy leading and collaborating in fast-moving projects—such as coordinating ML-based tasks for a small intern team and ensuring timely delivery. My projects include end-to-end predictor systems (e.g., multi-disease risk prediction and credit risk classification), where I integrated models with deployment-ready pipelines and evaluation practices.

Experience

Work history, roles, and key accomplishments

Data Science & ML Intern

Zaalima Development

Sep 2025 - Dec 2025 (3 months)

Led a team of 4 interns by coordinating ML tasks and reviewing deliverables for timely project completion. Performed exploratory data analysis (EDA) and visualization to identify trends and patterns.

Python SQL EDA Data Visualization Data Cleaning Feature Engineering Supervised Learning Unsupervised Learning Team Leadership

Data Science Intern

Exposys Data Labs

Jul 2025 - Aug 2025 (1 month)

Developed a diabetes prediction model using Random Forest with data preprocessing, feature engineering, and model tuning. Built an end-to-end ML workflow covering training, evaluation, and deployment.

Python Pandas NumPy EDA Feature Engineering data preprocessing Random Forest Model Evaluation Machine Learning Pipelines Deployment

Education

Degrees, certifications, and relevant coursework

Pacific Institute of Technology, PAHER University

Bachelor of Computer Applications (BCA), Computer Applications

2023 - 2026

Grade: 8.9 CPGA

Activities and societies: Studied Python, EDA, data cleaning, feature engineering, and model evaluation; covered supervised/unsupervised learning with tools like Pandas, NumPy, Matplotlib/Seaborn, and scikit-learn.

Pursuing a Bachelor of Computer Applications (BCA) at PAHER University (Pacific Institute of Technology) from 2023 to 2026, with a CPGA of 8.9. Coursework includes Python, EDA, data cleaning, and building supervised/unsupervised predictive models.