Chandrika R

• Spearheaded data analysis using Power BI and snowflake SQL, optimizing strategies by 15%. Integrated data to refine KPIs. For healthcare, production, shipments, and operations data • Analyzed large datasets from various sources with Power Queries, processing over 1TB of data. Utilized Trello to manage 20+ ad hoc projects, delivering actionable insights that improved market analysis and strategic planning. • Developed data-driven insights using Microsoft Power Apps and PowerPoint, creating 50+ detailed reports and dashboards. Influenced senior leadership with 30+ strategic recommendations, addressing key business risks, growth opportunities. • Implemented Power Workflow to automate reporting tasks, reducing manual effort by 40%. Leveraged Slack for real-time team communication, accelerating project timelines by 25% and ensuring timely delivery of critical insights. • Migrated data for from snowflake to dbt built data pipeline, views and migrated reports from PowerBI desktop to cloud, • Managed cross-functional communication using CRM tools , slack , clickup, MS365teams, coordinating with 10+ teams. Drove innovation and met tight deadlines, improving process efficiency by 30% while promoting a culture of diversity, and inclusion. • Admin for Powerbi Architecture, manage Azure directory and access for end user. Managed roles and permission for snowflake and Powerbi for developers • Managed SaaS product lifecycle for tools including Power BI, SSRS, LMS, Dayforce, and Snowflake, aligning with strategic business goals and optimizing vendor relationships. This reduced costs by 10% • Managed project timelines with MS Project, improving accuracy and on-time delivery. Agile Sprint management • Admin for Powerbi Architecture, manage Azure directory and access for end user. Managed roles and permission for snowflake and Powerbi for developers

➢ Utilized Waterfall methodologies to effectively assist with the planning and implementation of Business. ➢ Collaborated with Product Owners to define requirements, business value scoring, and success metrics. ➢ Implemented data pipelines in SQL and Python, integrating with SAP and Salesforce for optimized data infrastructure. ➢ Implemented data visualization tools and dashboards, enabling stakeholders to make informed decisions, resulting in a 30% improvement in business performance metrics. ➢ Designed and developed interactive Power BI dashboards and reports, providing stakeholders with real-time visualizations and resulting in a 40% improvement in data accessibility and user engagement. ➢ Drove a 40% increase in RDBMS data retrieval efficiency and optimized data infrastructure through Python, SQL, and integrations with SAP and Salesforce. ➢ Gathered and documented business BRD, and FRD from both formal and informal sessions and validated the needs of the business. ➢ Developed and managed advanced data visualizations, showcasingproficiency in DAX and open-source data integration.

➢ Collaborated with offshore teams on geospatial GIS platform tools, in MS 365 CRM enhancing decision-making by 25% and operational efficiency through impactful visualization tools and data governance, achieving a 95% data integrity rate. ➢ Coordinated and led end-to-end UAT cycles, developing organizational change management frameworks. ➢ Achieved a 15% improvement in operational efficiency by analyzing business processes, identifying bottlenecks, and implementing streamlined workflows. ➢ Leveraged SQL points to optimize query performance, reducing execution time by 60% and enhancing overall database efficiency. Collaborated with offshore development teams for a geospatial GIS platform tool, focusing on understanding business requirements and ensuring seamless handover of documented needs. ➢ Enhanced operational efficiency by optimizing data preparation processes with KNIME, ensuring seamless workflows and proficient handling of complex tasks. ➢ Achieved a 95% data integrity rate by spearheading data cataloging and governance initiatives, establishing a culture of trust and accessibility for reliable data-driven decision-making. ➢ Advocated for a data-driven culture, emphasizing the importance of reliable and accessible data, contributing to confident decision-making at all organizational levels.

➢ Collaborated closely with the Business Process Manager to transform activities from supply chain teams into detailed visual flows using Business Optix. ➢ Conducted GAP analysis to identify discrepancies between current and desired business processes, facilitating process improvements and increasing operational efficiency. ➢ Facilitated requirement-gathering sessions with stakeholders, resulting in the successfulimplementation of a new CRM system that increased sales conversion rates by 20%. ➢ Implemented data analytics and retention strategies, leading to a 10% increase in customer retention and a 15% improvement in marketing campaign effectiveness

➢ Executed comprehensive data analyses with Python and SQL, resulting in enhanced strategic planning and a 10% increase in lead generation.

Titanic – Prediction of survival on the Titanic (Tableau, Knime) Spring 2022 Predicting mileage per gallon performances of various cars by Machine Learning models (Python) Spring 2022 Credit Card Risk Analysis for Default Customers: (Regression, R, RStudio, Python, SQL, MS excel) Fall 2021 Video Game Sales Analysis: (Python, Panda, MS Excel) Fall 2021