• 6+ Years of Experience with a strong background in data modeling, database development, and data analysis.• Experience with Prompting, finetuning, evaluating LLMs• experience in database development, including stored procedures, functions, and other database objects, ensuring data integrity and efficient data processing.• Designed, implemented, and maintained CI/CD pipelines for various software projects, ensuring smooth and automated build, test, and deployment processes.• Expert in writing complex SQL queries and optimizing them to extract valuable insights from the data.• Familiarity with AWS, Microsoft Azure, GCP and their services for implementing data pipelines and conducting customer analytics and predictions.• Deployed machine learning models into production on GCP, Azure and set up monitoring to ensure model performance and accuracy over time.• Experience in applying Gen AI techniques to enhance model performance and generate actionable insights.• worked on MySQL, noSQL, graphQl• Skilled in using Business Objects, MS Excel Reports, MS Access Reports, and Tableau reports for visualizing data trends and variations.• Experience in retail, ecommerce, Telecommunications, health domains • Exposure to AI and deep learning platforms/methodologies such as TensorFlow, RNN, and LSTM. • Proficient in data visualization techniques using tools like Data Studio, Tableau, Power BI and QlikView to present data insights in graphs and charts.• Experience in implementing various machine learning algorithms, including regression, clustering, random forest, and support vector machines.• Strong programming skills in Python, utilizing libraries like Pandas, SciPy, Matplotlib, OpenCV, Tensorflow for data manipulation and analysis.• Familiarity using HPCs, GPUs• Familiarity with NLP, NLTK, and Text Mining techniques for extracting meaningful information from unstructured text data.• Skilled in ensuring data quality, performing anomaly detection, and estimation using numerical optimization and statistical methods.
