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Harsh Gangurde

@harshgangurde

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AI & Data Science student, skilled in Python, Machine Learning, and Business Analytics.

India

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What I'm looking for

I seek a dynamic role where I can apply my AI and data science skills to real-world challenges, fostering growth and innovation.

Harsh Gangurde is a GATE-qualified AI/ML Engineer and B.Tech student (2026) who bridges data science with real-world impact through scalable, production-ready solutions. Specializing in Generative AI and algorithmic trading, he has engineered multi-agent LLM systems and automated trading platforms using Python, FastAPI, and AWS. With expertise in TensorFlow and SQL, Harsh delivers innovative tools—ranging from deepfake detection models to predictive analytics—demonstrating strong analytical thinking and ownership in fast-paced environments.

Experience

Work history, roles, and key accomplishments

Deep Fake Video Detection System

Academic Project

Jan 2023 - Feb 2023 (1 month)

Developed a novel model combining VGG16 and CNN for deep fake detection, achieving 94% accuracy. Validated the model using confusion matrix analysis on a benchmark dataset, demonstrating high detection efficiency.

TensorFlow Keras VGG16 CNN Python OpenCV Deep Learning Machine Learning Data Analysis

Chest Cancer Classification

Academic Project

Feb 2023 - Mar 2023 (1 month)

Developed a deep learning model for chest cancer classification using TensorFlow, achieving 92.5% accuracy. Integrated MLflow & DVC for experiment tracking and automated CI/CD pipelines for deployment.

TensorFlow MLFlow Deep Learning Python AWS CI CD

Movie Recommender System

Academic Project

Apr 2023 - May 2023 (1 month)

Implemented a collaborative filtering-based movie recommender system using Python and Scikit-Learn, evaluating it with cosine similarity and achieving over 1,500 unique user interactions.

Python scikit learn Collaborative Filtering Cosine Similarity Data Analysis Machine Learning Interaction

Time Series Analysis Web App

Academic Project

Mar 2023 - Apr 2023 (1 month)

Created a web application using Streamlit for analyzing census data, providing insights into demographic trends through interactive visualizations.

Streamlit Python Pandas Matplotlib SQL Data Visualization Web Development

Education

Degrees, certifications, and relevant coursework

AISSMS Institute of Information Technology

Bachelor of Technology, Artificial Intelligence and Data Science

2022 - 2026

Grade: 7.3 CGPA

Pursuing a B.Tech in Artificial Intelligence and Data Science, focusing on the integration of AI technologies and data analytics to solve complex problems.