Results-driven Technical Associate with 3 years of experience in developing and deploying AI/ML models on AWS cloud infrastructure. Experienced in data preprocessing, collaboration with cross-functional teams, and optimizing AI/ML solutions for enhanced performance. Seeking to contribute expertise to a dynamic organization at the forefront of technology. Strong problem-solving skills, a result-oriented mindset, and an analytical thinker. Able to deliver innovative solutions and drive impactful results for the organization.
· Developed and deployed AI/ML models on AWS cloud infrastructure, leveraging services such as Amazon SageMaker and EC2 instances
· Conducted data preprocessing, cleaning, and transformation using SQL and Python, ensuring high data quality for machine learning applications.
· Collaborated effectively with cross-functional teams to identify business problems and design tailored AI/ML solutions that delivered actionable insights.
· Contributed to documentation and knowledge sharing to facilitate team-wide understanding of AI/ML processes and best practices.
· Designed and implemented automated workflows using AWS Lambda and CloudFormation, streamlining processes and reducing manual intervention.
· Monitored the performance of AI/ML models, utilizing AWS monitoring tools and custom metrics, and implemented improvements as necessary.
· Stay up-to-date with the latest technological advancements and industry trends to ensure the company remains competitive in the market.
· Assist in evaluating and implementing new technologies and tools to improve efficiency and effectiveness of AI/ML models and workflows.
· Effectively communicate complex technical concepts to non-technical stakeholders, ensuring clear understanding and alignment on project goals and progress.
Packages:NumPy, Pandas, Matplotlib
Frameworks : NET(WCF,WPF,ASP CORE,ENTITY)
Machine learning: Supervised, Unsupervised, Ensemble, Decision Tree
Deep Learning: Artificial Neural Network, Natural Language Processing, Convolutional Neural Network
Databases:MySQL,Postgresql,SQL Server
IDEs:Visual Studio , Juypter Notebook
Visualization: Tableau, Power BI
Programming Languages: Python, SQL
AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn
Data Processing: Data cleaning, transformation, and visualization
Cloud Services: AWS (Amazon SageMaker, Lambda, EC2, CloudFormation)
Collaboration: Cross-functional team communication and problem-solving
Data Modelling: Data Profiling, Data Analysis and Modelling experience
OS: Windows, UNIX, Linux