Sarvesh Pathak

Motivated and detail-oriented Information Technology student with a solid foundation in programming, network management, and database administration. Proficient in Python, and SQL, with hands-on experience in Machine Learning and network troubleshooting through academic projects. Known for strong analytical skills, problem-solving abilities, and the capacity to work effectively both independently and in team settings. Eager to apply technical knowledge and contribute to innovative projects in a dynamic and growth-oriented organization.

1. Dog Breed Classification :

• Developed a deep learning project on Google Colab to classify dog breeds using MobileNet V2 in Python.
• Implemented data pre-processing and augmentation to enhance model accuracy.
• Achieved high classification accuracy, showcasing the effectiveness of transfer learning techniques.

2. Diabetes Prediction:

• Developed a diabetes detection system using the Support Vector Machine (SVM) algorithm on the PIMA UCI dataset from Kaggle.
• Focused on early diabetes prediction based on key health metrics, achieving high accuracy through effective data pre-processing and model training.

3. Heart Disease Classification:

• Created a predictive model for heart disease using Logistic Regression, achieving the highest accuracy among tested models.
• Conducted comprehensive dataset pre-processing, model training, and performance evaluation to develop a reliable predictive tool.

• Volunteer for Smart India Hackathon 2022: Contributed to organizing and managing events, supporting participants and judges.
• E-cell member for 1 year: Actively participated in entrepreneurship cell activities for one year, promoting innovation and startups.
• Publicity Lead of Google Developer Student Club of DMCE: Led publicity efforts, fostering collaboration with industry experts and academic mentors