- Engaged with over 30 stakeholders, using data visualization tools (Tableau) and SQL, challengingand refining requirements to address critical business issues and support transformation strategies.- Led a team to build data-driven solutions, utilizing advanced analytics techniques and Python (Seaborn, Matplotlib), enhancing customer insights by 25% through independent metrics development.- Developed and productionized 10+ data marts, leveraging Hadoop (Hive, Impala) and AWS (EC2,S3), enabling streamlined data feature engineering and improving data accessibility by 35%.- Utilized Python and SQL to extract value from structured and unstructured datasets, increasinganalytical efficiency by 40% through the use of advanced machine learning techniques.- Implemented clustering and classification techniques on AWS, reducing data processing time by30% and enhancing model accuracy by 15% using PySpark and AWS DynamoDB.- Managed complex data pipelines on cloud platforms, including AWS (Aurora, S3) and SQL,resulting in a 50% improvement in data flow and management processes.Proficient Data Scientist, specializing in optimizing system architecture and elevating data quality.- Expert in creating meticulous data models and streamlining data flows to enhance operational efficiency.- Skilled developer of automated data ingestion processes, reducing manual data entry by integrating multiple sources into a unified database.- Proficiently employ data visualization tools to produce interactive graphical representations of intricate financial data.- Conduct comprehensive customer demographic and purchasing behavior analyses, yielding strategic insights for targeted marketing campaigns.- Instrumental in driving sales growth through data-driven decision-making and effective marketing initiatives.

- Cultivated a creative data-driven culture, employing design thinking and agile methodologies,enhancing team problem-solving capabilities using collaborative tools.- Conducted data science engineering projects, creating new data features with Python (NumPy,Pandas) and Hadoop, contributing to a 20% increase in product penetration and customerengagement.- Collaborated with cross-functional teams to prioritize strategic analytics initiatives, driving a25% increase in project delivery speed and value realization through effective use of Python, SQL, andTableau for data visualization and analysis.- Designed and deployed over 15 machine learning models, using Python libraries (NumPy, Pandas,SciKit-Learn, TensorFlow) providing actionable insights that improved strategic decision-making for senior leaders by 20%.- Data Science Intern contributing to the "Product Design GAN" project.- Enhanced cutting-edge architecture for styleGAN2 and the recently unveiled styleGAN3 across diverse domains.- Designed and implemented a user-friendly interface (UI) to facilitate image generation from the generator model.- Applied expertise in conditional Generative Adversarial Networks (GANs) to refine and fine-tune generated images.

- Collaborated closely with the product team as the ML Engineer for the flagship product.- Orchestrated training and deployment of diverse machine learning models, encompassing both supervised and unsupervised paradigms, to enhance the flagship product's performance.- Innovatively developed API endpoints facilitating seamless integration of trained models into the backend system. This integration notably improved the performance of the flagship product.