• Understand the data systems and structures within the business.• Link understanding of source data to value-adding analytics and reporting.• Ensure all outputs are visualised to a high standard through use of best practice and advocate for data visualisation best practices.• Manipulate data using SQL and deliver reliable analysis and insights to display outputs clearly (eg: Tableau/Power BI).• Provide advice and guidance on data, analytics and visualisation.• Deliver regular reports to the business; always aiming for automation and standardisation.

• Provided predicted insights by developing a 360° AI-driven Car Damage Assessment API using Python & Flask, leveraging AI/ML and Computer Vision libraries - tensorflow, opencv.• Collaborated with the development team to integrate the Car Damage Assessment API with the Car Repair & Maintenance Data, generated vehicle assessment reports, speeding up car insurance claim to more than 80%.• Engineered complex automotive data availing R and SQL, following a three-tier architecture methodology to enable Data as a Service (DAaS), facilitating the data response within 3 seconds.• Streamlined data cleansing and loading routines to generate optimized and accurate vehicle specific mappings, improving data precision rate by ~5%.• Co-ordinated with Chief Technical Officer (CTO) as a Data Lead for managing and consolidating vehicle parts catalogues for international automotive companies - eBay UK, CABAS Sweden, AutoPass France, incorporating an agile methodology, further impacting the company revenue by $0.8 million.• Communicated with stakeholders and customers to share progress and ensure each stage of product development follows the business specifications.• Mentored associates by initiating regular training sessions on data quality and data reporting tools – SQL & Excel, to improve data presentation and visualisation skills.

•. Mined data and maintained database using SQL for portfolio companies.• Generated reports and dashboards using Shiny environment in R & Tableau, tracking the Return on Investments.• Presented findings to clients and stakeholders utilizing MS Excel, solving business problems improving ROI by 20%.

• Broadcast the message of prohibiting plastic bags and market the cloth bags made by the company on social media platforms like Quora and Facebook.• Interacted with local sellers and shopkeepers to encourage the use of cloth bags.

• Gathered and cleaned data to maintain data integrity during extraction, manipulation, and processing.• Conceptualized various professional statistical techniques like - logistic regression, random forests to analyze data from partners and customers in R.• Facilitated the modelling team to develop a credit risk model to determine likelihood of loan defaults, thereby established a precision of 0.7.