VANI KOVILAKATH

Collaborated with various teams to establish an Executive data portal, facilitating the implementation of a smart decision-making approach

· Conducted data modeling for HR and operations.

· Analyzed HR data pertaining to inclusion and diversity.

· Developed metrics and dashboards for utilization and billability.

· Created a portfolio dashboard for analyzing professional services.

· Designed a project revenue dashboard for revenue forecasting and resource allocation.

· Conducted comprehensive labor cost analysis for projects and employees.

· Developed user availability dashboards.

· Managed SQL Server for reporting purposes.

· Utilized predictive modeling techniques for identifying hiring trends.

• · Worked with BI platforms for data analysis and visualization.

• Developed an AI-driven solution to predict the probability of an employee leaving the organization within the next 3 months
• Leveraged advanced machine learning techniques and tools to enhance model performance and interpretability
• Developed an Employee Attrition Prediction model using LightGBM
• Enhanced model interpretability by integrating SHAP values, providing insights into attrition drivers for individual employees
• Established a streamlined data pipeline with Metaflow, optimizing efficiency
• Collaborated with cross-functional teams to fine-tune feature selection
• Presented project outcomes, demonstrating the potential of AI-powered solutions in informing HR
• Implemented responsible AI practices to ensure fairness, explainability, and ethical considerations in predictive models
• Leveraged cutting-edge techniques and tools to enhance model accountability and mitigate potential biases
• Implemented Fairlearn and Explainer Dashboard for fair and transparent AI models
• Utilized Scorecard for Explainable, Endurant, and Ethical AI principles
• Enhanced model performance with Boruta feature selection and mitigated biases with covariance shift and adversarial validation
• Employed Python's Beautiful Soup library to automate web scraping and enhance expense trend predictions, contributing to informed decision-making
• Automated data retrieval using Beautiful Soup, ensuring accurate and up-to-date external dataset integration
• Streamlined the process by developing an efficient web scraping pipeline, saving time and effort for data collection
• Analyzed sales data and team performance metrics using Baxter's Salesforce application to provide insights into product performance
• Leveraged multiple variable regression analysis to forecast sales by identifying key variables influencing Baxter Healthcare product sales
• Conducted in-depth analysis of sales data and team performance indicators, yielding actionable insights
• Developed a robust POC for the Center of Excellence team, highlighting the project's value and potential impact.

• Led the implementation of a data-driven decision-making (DDDM) framework, revolutionizing decision-making within Cybersecurity - Data Insights and Visualization, mapping business need to technology solutions
• Spearheaded a digital transformation initiative, embedding data-driven practices into every decision-making process
• Integrated data from diverse sources, ensuring comprehensive insights for informed decisions
• Implemented a shared responsibility model for data quality, fostering a culture of accountability
• Established direct connect interfaces for Governance Risk Compliance, automating IRP reports and enhancing operational efficiency
• Automated data preprocessing for streamlined decision-making dashboards.

• Analyzed customer feedback from helpdesk tickets to assess customer satisfaction
• Conducted in-depth analysis of helpdesk ticket feedback reports, unveiling valuable insights
• Calculated Customer Satisfaction (CSAT) values to quantify customer contentment
• Presented statistical reports with data visualizations, providing actionable recommendations
• Utilized statistical analysis and data visualization to identify trends, patterns, and relationships within the data
• Collaborated with senior management(CTO) to establish key performance indicators (KPIs) aligned with critical resources
• Created Tableau/Power BI dashboards by extracting data from multiple sources to monitor KPIs and basic security measures
• Collaborated with senior management to define crucial KPIs for resource monitoring
• Designed interactive Tableau dashboards for tracking KPIs and security measures
• Ensured data consistency by extracting and integrating data from various sources
• Established performance standards and cost norms based on historical data
• Created a cost comparison model to monitor actual vs
• Standard costs, enabling timely corrective actions and standard revisions
• Designed a cost comparison model to analyze variations between actual and standard costs
• Implemented corrective actions to mitigate performance variations and improve cost control
• Enhanced budgeting accuracy and resource allocation through data-driven cost modeling
• Forecasted hardware and software utilization patterns across different expertise areas to optimize asset allocation and resource utilization
• Implemented predictive analytics to forecast hardware and software utilization patterns
• Contributed to efficient asset allocation by predicting utilization trends
• Enhanced resource efficiency and reduced wastage through data-driven insights
• Executed internal audit plans for ISO27001, CMMI, and AS9100 REVC, identifying data patterns, trends, and relationships
• Presented statistical reports and data visualizations to diverse audiences.