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Senior Analyst with 4+ years in Data Analytics & SaaS Operations
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Assessing your cultural and operational fit
Data Analyst with 4+ years of enterprise SaaS experience and hands-on expertise in SQL, Python, Power BI, and Tableau. Specialized in customer behavior analysis, operational reporting, and translating complex data into actionable business insights. Strong domain background in payroll SaaS, stakeholder communication, and process analytics — enabling faster insight-to-decision cycles. Proven ability to independently scope, analyse, and present data projects end-to-end.
IIT-M GUVI
Business and Marketing Analytics with AI Tools
N/A – Present
Fatima Michael College of Engineering and Technology
Bachelor of Engineering and Technology (ECE) · ECE
N/A – June 30, 2020
Neeyamo Enterprise Solutions Pvt Ltd
Associate Lead – Product Support
October 1, 2023 – September 1, 2025
Madurai, Tamil Nadu, India
Neeyamo Enterprise Solutions Pvt Ltd
Implementation Consultant
January 1, 2021 – September 1, 2023
Madurai, Tamil Nadu, India
Netflix Customer Engagement Analysis
June 17, 2026 – Present
Analyzed user engagement data (watch hours, regions, subscription types) to identify viewing trends across regions Developed an interactive Power BI dashboards to track genre popularity, content preference, ratings, and market share Performed comparative analysis by age group, country, and content type to support content strategy decisions.
Amazon Fresh Order & Customer Analytics
June 17, 2026 – Present
Designed a data model (ER diagrams) to structure relationships between orders, products, customers, and suppliers. Used SQL queries to analyze customer spending patterns, order frequency, and product sales trends. Surfaced actionable insights on demand forecasting, supported inventory planning and business development decisions.
E-commerce Customer Behavior Analysis & Sales Prediction
June 17, 2026 – Present
Analyzed 99K+ transactions using SQL to identify customer behavior, sales performance, and revenue trends. Applied RFM segmentation to classify high-value, loyal, and at-risk customers. Built PowerBI dashboard to track KPIs like Revenue, AOV, CLV, and order performance. Delivered insights that supported targeted marketing strategies and improved customer retention.
Cultural Fit Analysis
The candidate's project diversity, focusing on e-commerce, streaming, and fresh order analytics, shows a broad interest in applying data analysis to different business domains. Their professional experience in a product support and implementation role, while not directly a pure data analyst role, indicates an ability to work in a structured corporate environment, manage client expectations, and collaborate with cross-functional teams. The target role of 'Senior Analyst' aligns with their demonstrated analytical capabilities and experience in deriving insights, though their professional experience is more operations-focused than pure data science.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills (identifying root causes, reducing ticket resolution time), and communication skills (stakeholder reporting, client communication, UAT sessions). Their experience in SaaS implementation and support suggests a good operational fit for roles requiring client interaction, project coordination, and process improvement.