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Senior Analyst with 6+ years in data analysis and business intelligence
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Data Analyst with 6.5+ years of experience in data analysis, business intelligence, and process optimization within the e-commerce domain. Recently upskilled in SQL and data analytics with hands-on project experience in data modeling, querying, and reporting. Skilled in transforming raw data into actionable insights to support business decisions. Strong expertise in Excel, SQL, and analytical problem-solving.
Sri Ramakrishna Institute of Technology
B.E. · Electronics and Communication Engineering
August 1, 2014 – June 30, 2018
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Social Media Usage Analysis (SQL Project)
June 21, 2026 – Present
Designed and developed a relational database for social media usage analysis using parent-child table relationships. Created and managed multiple tables with primary key and foreign key constraints to maintain data integrity. Performed advanced SQL queries using Joins, Group By, Aggregate Functions, Subqueries, CASE Statements, and Window Functions. Analyzed user engagement, platform usage trends, age-group behavior, and content preferences across social media platforms. Ranked platforms based on user activity using SQL Window Functions such as RANK(). Identified platforms with above-average usage time and analyzed gender-wise platform engagement. Used conditional logic and categorization techniques to segment users based on age groups and usage behavior. Generated business insights and analytical reports to support data-driven decision-making.
Mental Health Burnout Analysis (Python Project)
June 21, 2026 – Present
Analyzed employee mental health and burnout dataset containing 100,000+ records. Performed data cleaning, preprocessing, and feature transformation using Pandas and NumPy. Conducted salary, stress score, burnout level, and job satisfaction analysis across multiple job roles. Used grouping, pivot tables, filtering, and aggregation techniques to derive actionable insights. Developed visualizations using Seaborn and Matplotlib to identify mental health and burnout trends. Created cleaned datasets and summarized reports to support data-driven decision-making.
Cultural Fit Analysis
The candidate has experience across different companies and roles, including an internship, and has worked on diverse projects (social media analysis, mental health burnout analysis). This breadth of experience and exposure to various data domains suggests adaptability and a good cultural fit for dynamic environments. The focus on data-driven decision-making and business insights aligns well with typical organizational goals.
Soft Skills & Operational Fit
The candidate's resume highlights experience in team coordination, client collaboration, and training team members, suggesting good operational fit and soft skills for a senior role. Achievements like 'Turn the Turtle Award' and 'Mountain Mover Award' indicate problem-solving and initiative.