Requirement Gathering: Led efforts to capture client needs and business gaps, aligning deliverables with goals. Improved documentation, boosting requirement tracking efficiency by 30%.
Client Requests & Data Extraction: Handled high-volume client requests, using SQL to deliver precise data quickly, reducing response times by 20%.
Process Automation: Developed Python scripts for data analysis and shared insights via Power BI, enhancing client engagement. Automation increased efficiency, cutting SLA timelines by 35%.
Data Dashboards: Created Power BI dashboards to simplify data, enabling faster, data-driven decisions and improving process efficiency by 15%.
Stakeholder Engagement: Facilitated communication between clients and teams, ensuring quick issue resolution. Collaboration reduced resolution times by 25% and improved client satisfaction.
Senior Analyst
Amazon
10.2018 - 05.2022
KPI Management & Audits: Monitored KPIs for productivity and quality across categories, conducting audits with 98% accuracy to support ML models and informed decisions.
Stakeholder Communication: Facilitated stakeholder alignment through weekly metrics and clear communication, reducing miscommunication and building consensus.
Data Analysis & Validation: Analyzed datasets to identify trends, validate data, and recommend ML solutions, aiding cross-functional decisions with operations and tech teams.
Delivery & Quality Management: Oversaw daily deliverables, improving product validation in retail. Created SOPs for audits and prioritized issue resolution for smooth operations.
Cross-Functional Collaboration: Worked across teams to resolve issues, cutting resolution time by 25%. Used Python for automation, saving 0.5 FTE in data collection.
New Hire Training: Built onboarding programs that reduced new hire ramp-up time by 20%, fostering a high-performance culture.
Education
PGDM (Business Analytics) -
Conestoga College Institute of Technology
08.2023
PGDM (Project Management) -
Conestoga College Institute of Technology
12.2022
Bachelor of Engineering -
RMK Engineering College
05.2018
Skills
Data Analysis & Visualization: SQL, R, Python, Tableau, Power BI
Data Management: ETL (Data Pipelining, Extraction, Validation)
Business Tools: Advanced Excel, SharePoint, Quip, Jira, Dynamics, ServiceNow
Professional Skills: Requirement gathering, Business Analysis, Project Management , Documentation, Gap Analysis, Stakeholder Communication