Siddharth
Surat, Gujarat, India
Experience: 0 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: AWS, C, Docker, Git, JavaScript, Jupyter Notebooks, Matplotlib, MySQL, NumPy, pandas, Postman, Python, Python3, PyTorch, scikit-learn, TensorFlow
Previously worked at: Startups
Assessment Score: 53
- Experience Overview: A highly motivated Machine Learning Engineer with hands-on experience in deploying high-performance models using TensorFlow, PyTorch, and scikit-learn. Skilled in data wrangling, analysis, and data visualization.
- Educational Background: Currently pursuing a BE in Electronics and Communication Engineering at Government Engineering College, Bharuch, with coursework in Machine Learning, Artificial Intelligence, IoT, and Statistics. Expected graduation in June 2024.
- Technical Expertise: Proficient in key programming languages including Python and JavaScript, with strong skills in Machine Learning, Neural Networks, Natural Language Processing (NLP), and MLOps. Experienced with TensorFlow, PyTorch, AWS, SQL, and Hyperparameter Tuning.
- Professional Experience: Interned at Otobit Pvt Ltd as a QA/QC Intern, focusing on bug reporting, regression testing, and product flow creation. Also interned as a Machine Learning Intern at BrainyBeam Technologies and InfoLabz, where worked on data analysis, machine learning model implementation, and API data fetching.
- Project Experience: Successfully implemented Chronic Kidney Disease classification with 99.75% accuracy using Logistic Regression and Fraud Detection using Logistic Regression and Decision Tree Learning, showcasing strong problem-solving and modeling skills.
- Additional Skills: Hands-on experience with cloud computing, AWS, Web Scraping, and Postman API. Well-versed in building and optimizing machine learning pipelines and conducting comprehensive data analysis to extract actionable insights.