Raghav
Noida, Uttar Pradesh, India
Experience: 1 years
Open to: Full-Time
Education: Masters
Availability: Within 30 Days
Skills: AWS, Docker, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, PostgreSQL, Postman, Power BI, PowerShell, Problem Solving, PySpark, Python, Python3, PyTorch, scikit-learn, Selenium, TensorFlow, Unix
Previously worked at: IT Service Companies, Startups, US-based Companies
Assessment Score: 75
- Educational Background
Completed a Master’s in Electronic and Computer Engineering with a specialization in Machine Learning from University College Dublin (Feb 2024). Holds a Data Analytics and Machine Learning certification from Simplilearn and Purdue University (Aug 2022) and a Bachelor’s in Electronic and Communication Engineering from Amity University (June 2021). - Technical Proficiency
Skilled in Python, NumPy, Scikit-Learn, TensorFlow, OpenCV, and Keras for developing machine learning models. Proficient in areas such as deep learning, image processing, data preprocessing, regression analysis, and time series forecasting. Experienced with MLOps, NLP, GANs, SQL, and Cloud AI technologies like Microsoft Azure. - Professional Experience
Gained experience as a Machine Learning Research Intern at Onward Assist (Nov 2021 – Apr 2022), where they developed a deep learning pipeline for PD-L1 cancer detection, achieving 86% classification accuracy and collaborating with medical professionals to ensure the project’s success. - Leadership and Extracurricular Engagement
Co-founded and led GRATE Student Community at Amity University, growing the group from 8 to 195 members within a year. Managed educational initiatives and provided counseling to students planning for their master’s programs, fostering a collaborative learning environment. - Notable Projects
Led several significant projects, including the development of a custom AI-driven chatbot for the medical device industry, a deep learning model for English word recognition, and a sentiment analysis pipeline for bank customers, achieving high accuracy in all cases. - Publications and Research Contributions
Authored research papers on the use of deep learning for diagnosing Leukaemia from blood smear images and detecting COVID-19 from chest X-rays, with notable success in achieving high F1-scores and contributing to IEEE publications.