Diljith vadakkekkara chandrasekharan

Managed and architected big data, implementing automated data collection procedures, enhancing data acquisition efficiency by 20%. Developed and deployed predictive models and machine learning algorithms, achieving an 85% accuracy in key business predictions and increasing stakeholder decision-making effectiveness by 15%. Conducted a study on determinants of performance predictability in an online P2P lending market, conceptualizing financial and social strength metrics to predict borrower rates and loan repayment likelihood, achieving a 90% prediction accuracy.

Led a team in automating sampling project within data scientist team, migrating a legacy system to Python and AWS based platform, reducing manual processes by 80%. Implemented data automation Process Improvement initiatives, resulting in a 90% reduction in manual intervention, optimising monitoring and dashboard display for oracle concurrent jobs using Excel macros VBA, Python, scripting, and SQL queries. Applied knowledge of statistics, providing insights and recommendations for service improvements, supporting daily operations, taking decisions, including responding to queries and coordinating meetings. Employed SQL to extract, clean, and analyse large datasets, generate use friendly reports. Created data visualisations and dashboards using Power BI, optimising user experience and driving business growth by 15%. Navigated AWS services to deploy scripts, maintaining storages and security. Designed and maintained SQL databases, tables, and views. Mentored team members and participated in agile methodologies, fostering a collaborative work environment. Utilised Git for version control and collaboration on team projects, managing code check in changes seamlessly. Experience in handling large volumes of complex data and utilise analytical skills to draw recommendations for senior management team and leaders. Coordinate with the internal and external stakeholders, vendors for the flawless execution of projects and presenting to non-technical audience. Experience in resolution of issues and problems faced by customers and dealing with complaints to maintain trust. Weekly and Monthly review of the ongoing projects with team to organize, plan, retrospective of the project.