Aspiring Data Scientist Internship Candidate with ML Foundations

VARSHITHA B J

Email: *************@*****.*** Phone: +91-914*******

EDUCATION

Maharaja Institute of Technology, Mysore, Karnataka 2022-2026 BE, Data Science– 8.5 CGPA

Mandavya Ecellence PU College, Mandya 2020-2022

PCMB – 86%

Sri Venkateshwara Vidyanikethan, Mandya 2010-2020

10th – 88%

EXPERIENCE

Machine Learning Intern Genz Educatewing Feb 2026 - Present

• Working on real-time datasets to perform exploratory data analysis (EDA) and feature engineering.

• Built regression and classification models to derive meaningful insights from structured data.

• Utilized Python libraries such as NumPy, Pandas, and Scikit-learn for model development.

• Documented findings and presented results to mentors during review sessions. Workshop on Devops and ML July 2025 – Sep 2025

• Gained foundational knowledge of DevOps principles including CI/CD, version control, and deployment workflows.

• Trained machine learning models using supervised learning algorithms PROJECTS

● Multimodal AI Assistant March 2025 – Jan 2026

- Designed and developed a multimodal AI assistant capable of processing text, voice, and image inputs.

- Integrated Natural Language Processing (NLP) for text understanding and response generation.

- Implemented speech recognition and text-to-speech modules for interactive communication.

- Incorporated computer vision capabilities for image-based input analysis.

- Built an end-to-end workflow combining multiple AI models to enhance user interaction and system efficiency.

● Facial Recognition with Emotion Analysis & Sign Language Interpretation Sep 2024 – Jan 2025

- Developed a real-time facial recognition system integrated with emotion detection using deep learning techniques.

- Implemented Convolutional Neural Networks (CNN) for classifying facial expressions such as happy, sad, angry, neutral.

- Built a sign language interpretation module using computer vision to recognize hand gestures and convert them into text.

- Applied image preprocessing, feature extraction, and model optimization techniques to improve prediction accuracy.

- Utilized OpenCV, TensorFlow/Keras, and NumPy for model development and real-time detection. SKILLS

Languages: C, Python

Database: SQL, MongoDB

Data Visualization: Power BI, Tableau

Machine Learning: Scikit-learn, TensorFlow, Keras, Pandas, NumPy, Matplotlib CERTIFICATIONS

• Data Analytics Course – NoviTech

• Full Stack Development Course – Novitech

• Certificate of Coordination – National Level 24-Hour Hackathon

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