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Devanshi Chauhan

@devanshichauhan

Data Analysis Intern at Tech Mahindra who developed ML classification workflows and automated PDF text-extraction pipelines.

India

Message

At Tech Mahindra, I developed machine learning classification workflows using TF-IDF, Logistic Regression, and Random Forest, transforming raw product data into model-ready features.

I also built automated PDF and document text-extraction pipelines with PyMuPDF and engineered OpenCV image-processing routines to extract visual features.

For NeuroTrace, I developed an EEG-based cognitive-state classification pipeline and an interactive dashboard for real-time visualization.

I built SevaSync AI to apply NLP-based urgency detection and volunteer-task matching to NGO emergency-response workflows. My research paper on machine learning regression and academic performance received the Best Research Paper Award at SICARSTM 2026.

Experience

Work history, roles, and key accomplishments

Data Analysis Intern

Tech Mahindra

Jul 2025 - Oct 2025 (3 months)

Developed machine learning classification workflows using TF-IDF, Logistic Regression, and Random Forest, and built automated PDF text-extraction pipelines with PyMuPDF. Performed exploratory data analysis and data cleaning with Pandas and NumPy, and optimized model performance through hyperparameter tuning and cross-validation.

Python Pandas NumPy scikit learn TF IDF Logistic Regression Random Forest PyMuPDF OpenCV data preprocessing Feature Engineering Exploratory Data Analysis Hyperparameter Tuning Cross Validation

India Representative – Summer University Immersion Program

Ural Federal University

Jul 2026 - Present (3 months)

Selected as one of India's representatives from Sigma University for an international AI, research, and innovation immersion program. Collaborated with multicultural teams during the HackAtom initiative to design and present an AI-driven solution.

AI Research Innovation Leadership Cross Cultural Communication Technical Presentations