Science, Technology and Innovation
Been a data scientist for 8 hours and a Director for 7 Hours everyday for the last 2 years. Worked with various clients in various data and associated technologies like PL/SQL in warehouses, Python/Tensorflow, Oracle Analytics Cloud, Google Big Query and Auto ML. Experience in client engagement, leading teams & delivery as well as great communication and presentation skills. Looking for exciting opportunities to work with in specialised verticals.
As a Founder Director and Data Scientist, I lead a team in machine learning, data warehousing, and analytics. My role involves overseeing all aspects of the organization, including budget management, performance targets, and innovation. I leverage my expertise in statistical modeling and data analysis to develop innovative solutions that drive business growth and improve decision-making. Additionally, I am skilled in sales, account management, and stakeholder engagement, working closely with clients to develop tailored solutions. I ensure that the team stays current with emerging technologies and best practices
- Collaborating with cross-functional teams to identify business problems that can be addressed with data-driven solutions.
- Designing and implementing experiments to test hypotheses and validate models.
- Applying statistical and machine learning techniques to build predictive models and uncover insights in data.
- Developing and deploying machine learning models to production environments.
- Conducting ongoing monitoring and maintenance of machine learning models to ensure they remain accurate and effective over time.
- Communicating findings and insights to both technical and non-technical stakeholders.
- Continuously evaluating and exploring new data sources, tools, and techniques to improve the effectiveness and efficiency of data science work.
- Writing PL/SQL code to extract, transform, and load data into a data warehouse in Oracle.
- Performing data modeling for Oracle Analytics Cloud (RPD file in Model Administration Tool) to create a conceptual representation of the data used in analytics applications.
- Creating visualizations on Oracle Analytics Cloud to communicate insights and tell a story with data.
- Planning, creating, and experimenting with machine learning and deep learning pipelines on Google Cloud.
- Maintaining and analyzing data in Google BigQuery to extract insights and identify patterns.
As a Fullstack AI Engineer, I conducted R&D in AI and machine learning, building proof of concepts using Django and React JS. I collaborated with a team of developers and data scientists to design and implement cutting-edge solutions, ensuring they were secure, efficient, and met customer needs. My role involved building scalable and reliable software that integrated AI and machine learning technologies, such as natural language processing and computer vision.
Data Warehousing PL/SQL
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