Bhawesh
Bokaro Steel City, North Chotanagpur Division, Jharkhand, India
Experience: 1 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Jupyter Notebooks, Matplotlib, NumPy
Previously worked at: IT Service Companies, Startups
Assessment Score: 75
- Educational Background in AI & Machine Learning
Currently pursuing a B.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning (AIML) from C.V. Raman Global University, with a strong academic record (GPA: 8.77/10). - Internship Experience in AI & Machine Learning
Gained practical exposure through multiple internships at leading organizations, including Vaultedge Pvt Ltd, IBM, and Microsoft-AICTE, working on diverse projects such as document value extraction, image classification, face recognition, and mental fitness tracking using machine learning models like GPT-3.5, Donut, and Random Forest Regressor. - Hands-on Experience with Large Datasets
Worked extensively on large datasets, including handling around 500,000 data points for various projects, focusing on data management, processing techniques, and optimizing models for better accuracy and performance. - AI Model Development & Implementation
Contributed to real-time projects where I implemented machine learning algorithms, including classification and regression models, achieving an 85% accuracy in one of the classification tasks and enhancing model performance through careful data preprocessing and optimization. - Skills in AI Technologies and Tools
Proficient in Python, Java, and C, with expertise in machine learning libraries such as scikit-learn. Gained hands-on experience with AI techniques in natural language processing, computer vision, deep learning, and model evaluation. - Strong Work Ethic & Passion for Learning
A highly motivated and fast learner, passionate about applying AI and machine learning to real-world challenges. Demonstrates a strong commitment to continuous learning and contributing effectively to team-driven projects.