Dinithi

In my current role as an Executive Data Analyst at MAS KREEDA Digital, I have spearheaded numerous data-driven initiatives aimed at enhancing operational efficiency and optimizing business performance. Notably, I developed proactive solutions leveraging SQL Server and Power BI to detect repeated defects early, resulting in significant improvements in product quality. Additionally, I led the implementation of a standardized digital platform for managing skill matrices, streamlining resource allocation, and identifying skill gaps within the team.

My proficiency in building predictive models using machine learning techniques has been instrumental in projects such as employee turnover risk prediction, where I played a key role in data collection, preprocessing, and model building. Collaborating closely with cross-functional teams, I ensured the accuracy and reliability of data while optimizing model performance through feature selection and hyperparameter tuning.

Developed dashboards to visualize and analyze data for decision-making purposes.
Designed a proactive solution for early detection of repeated defects, utilizing SQL Server and Power BI.
Conducted data transformation processes for defect detection and analysis, collaborating with cross-functional teams to meet business requirements.
Provided actionable insights to enhance product quality proactively.
Implemented a standardized digital platform for managing skill matrices, optimizing resource allocation, and identifying skill gaps.
Developed dynamic dashboards in Power BI to visualize team members' skill levels.
Created a digital solution for automating daily incentive calculations at multiple levels, integrating data from SQL Server and SharePoint Excel.
Standardized calculation procedures and generated insightful visualizations.
Developed a consolidated digital platform providing valuable insights on machine required counts and shortages based on the production plan and machine inventory across all plants.
Designed multiple Power BI dashboards for live and historical data analysis on the production floor.
Involved in the project from the data collection to model buildings.
Collaborated with cross-functional teams for data gathering and validating.
Utilized SQL Server Management for data storage.
Conducted data pre-processing, feature selection, and hyperparameter tuning to optimize model performance.
Conducted data quality checks as part of data governance efforts, ensuring data accuracy across the organization.
Worked collaboratively with stakeholders to understand business requirements and transform them into data-driven solutions.
Managed end-to-end data analysis projects, ensuring adherence to timelines and budgets from project initiation through delivery.
Contributed to organizing the Datanauts Hackathon and participating in hosting the Data Science Mini roadshow.
Conducted a Python programming training session and PowerBI trainings as a part of MAS KREEDA digital trainings.

Built revenue forecast model for business.
Created dashboards for summarize business data using Tableau.
Built Crib Score alternative.
Leading and handling digitalized loan product.
Prepared and analyzed periodic reports.
Provided the team required data using SQL.