Sujith
Warangal, Telangana, India
Experience: 2 years
Open to: Fractional, Full-Time, Part-Time
Education: Bachelors
Availability: Immediate
Skills: Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, Power BI, Python3, scikit-learn, TensorFlow
Previously worked at: India-based Companies
Assessment Score: 55
- Educational Background: The candidate is currently pursuing a Bachelor’s degree in Electronics and Communication Engineering from Kakatiya Institute of Technology and Sciences, with a CGPA of 7.24, and has completed their secondary education with strong academic performance in both CBSE and SSC.
- Technical Skills: The candidate is proficient in key areas of data science, including Python, SQL, Power BI, Java, and machine learning, with a strong focus on building predictive models, data analysis, and image processing. They are also experienced in web development using Django and Java-based applications.
- Project Experience: They have worked on diverse projects such as developing a machine learning model for identifying optimal and non-optimal production conditions, building a deep learning-based anomaly detection system for images, and creating an IoT-based soil moisture monitoring system using ESP32. These projects demonstrate the candidate’s hands-on experience in real-world problem-solving.
- Research and Analytical Expertise: The candidate has developed a system for clustering production data using KMeans, with a focus on real-time deployment using Streamlit. In addition, they applied deep learning techniques, such as VGG19 and PCA, in the anomaly detection project to detect anomalies in industrial images, optimizing model performance for quality control tasks.
- Certifications and Courses: They have completed certifications in Data Science, Artificial Intelligence, Machine Learning, and Java Full Stack, which have equipped them with a strong foundation in machine learning algorithms, AI concepts, and full-stack development. The Java Full Stack course also honed their skills in both front-end and back-end development using technologies like HTML, CSS, JavaScript, Spring Boot, and Hibernate.
- Internship and Practical Experience: Through their internship experience and hands-on projects, the candidate has gained practical skills in deploying machine learning models, building Java-based applications, and working with real-world datasets. They have a demonstrated ability to apply theoretical knowledge to practical challenges in various domains, including data science and web development.