Nethra
Bengaluru, Bangalore Division, Karnataka, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Within 15 Days
Skills: MySQL, NumPy, Python, PyTorch, scikit-learn, TensorFlow
Previously worked at: Product Companies
Assessment Score: 53
- Strong Academic Foundation in AI and Machine Learning
Pursuing an M.Tech in Artificial Intelligence and Machine Learning from M.S. Ramaiah University of Applied Sciences (CGPA: 9.0), complemented by a B.E. in Information Science & Engineering from Mangalore Institute of Technology and Engineering (CGPA: 7.0). Well-versed in foundational concepts of AI, with a robust academic performance. - Proficiency in AI/ML Technologies and Tools
Skilled in programming languages like Python and SQL, with expertise in libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, NLTK, and Langchain. Familiar with key AI/ML frameworks and capable of building predictive and analytical models. - Diverse Project Experience in AI and Healthcare
Successfully executed multiple projects, including breast cancer detection, Alzheimer’s disease stage detection using MRI images, and brain tumor detection leveraging deep learning. Developed solutions like PDF summarization using LLMs, sentiment analysis with NLP, and a face recognition system using computer vision. - Workshops and Certifications in Advanced Machine Learning
Completed industry-relevant courses and certifications from platforms such as Coursera and Kaggle, covering topics like Python programming, introduction to deep learning, and applied machine learning. Demonstrates a commitment to continuous learning and upskilling. - Practical Applications of AI for Real-World Challenges
Built age, gender, and emotion detection models using DeepFace and contributed to healthcare analytics projects, showcasing the ability to translate theoretical knowledge into impactful AI solutions. - Passion for AI and Eagerness to Contribute
An enthusiastic and dedicated learner, seeking opportunities to apply academic expertise to solve real-world problems in AI and machine learning, with a focus on innovation and collaboration in the field.