Abhinav
Jamshedpur, Kolhan Division, Jharkhand, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: AWS, C, CPP, Django, Docker, Git, Jenkins, Kafka, Kotlin, Kubernetes, LLMs/ChatGPT, MongoDB, MySQL, NumPy, pandas, Problem Solving, PySpark, Python3, PyTorch, R, React, scikit-learn, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 60
- Educational Background: Currently pursuing a B.Tech in Computer Science and Engineering with a specialization in AI & ML from SRM IST (2021-2025), with a solid foundation in both theoretical and practical aspects of computer science and machine learning.
- Work Experience and Internships: Completed virtual experiences with top companies such as J.P. Morgan, Walmart USA, and Goldman Sachs, gaining hands-on experience in software engineering, advanced problem-solving, algorithmic skills, and software development in real-world projects.
- Technical Skills and Tools: Proficient in a wide range of programming languages (Python, C++, Java), frameworks (Flask, Django, React), and tools (AWS, TensorFlow, PyTorch, Scikit-Learn, Selenium, Jupyter, Visual Studio Code), with expertise in Machine Learning, Deep Learning, Computer Vision, NLP, and DevOps.
- Project Development: Led multiple projects, including Face Mask Detection using CNN, Ice Cream Sales Profit Prediction using temperature analysis and linear regression, Sentiment Analysis for SRMIST Java Green, and optimization of agricultural techniques with machine learning algorithms, showcasing strong skills in AI-based solutions.
- Certifications and Achievements: Earned certifications in AWS Academy Machine Learning Foundations, advanced software engineering, Excel skills for business, and proficient in data visualization, automation, and storytelling through Excel and PowerPoint.
- Key Competencies and Languages: Expertise in data analysis, machine learning, automation, and cloud technologies, with strong communication skills in English, Hindi, and French, enabling effective collaboration in diverse professional settings