Shubham
Ahmedabad, Gujarat, India
Experience: 2 years
Open to: Full-Time
Education: Bachelors
Availability: Within 30 Days
Skills: AWS, Docker, Git, JavaScript, jQuery, Jupyter Notebooks, Kubernetes, LLMs/ChatGPT, Matplotlib, MySQL, NumPy, pandas, PostgreSQL, Problem Solving, Python3, PyTorch, scikit-learn, Tableau, TensorFlow
Previously worked at: IT Service Companies
Assessment Score: 75
- Professional Experience
With over 1 year of experience in software development and data science, the candidate has contributed to the development of custom modules, machine learning systems, and predictive models. Currently working as a Software Developer at Odoo India Pvt Ltd since June 2023, and previously interned at Techsture Technologies, focusing on machine learning and data pipelines. - Technical Expertise
Proficient in Python, SQL, PostgreSQL, TensorFlow, Keras, AWS SageMaker, and other data science frameworks. Skilled in designing machine learning models, implementing ETL pipelines, and creating data visualizations using tools like OWL.js and Tableau. - Educational Background
Holds a Bachelor of Engineering (B.E.) in Computer Science and Engineering with a CGPA of 7.4 from Government Engineering College, Patan, GTU. Completed higher secondary education with a focus on the Gujarat Higher Secondary Education Board with a 70% score. - Key Achievements
Demonstrated excellence by achieving Top 10% and Top 13% rankings in Kaggle Playground Series competitions. Successfully deployed a machine learning-powered Automatic Number Plate Recognition (ANPR) system and developed a deep autoencoder for credit card fraud detection. - Cloud & Machine Learning Projects
Led the development of a flight price prediction model using AWS SageMaker, improving pricing accuracy and customer satisfaction. Also worked on fraud detection systems using advanced deep learning techniques, optimizing performance with tools like TensorFlow, Keras, and SMOTE. - Problem Solving and Data Insights
Specialized in analyzing large datasets, building robust data pipelines, and providing actionable insights through machine learning algorithms. Designed systems that have enhanced business decision-making, such as the predictive model for flight pricing and customer churn prediction in business analytics.