Help & Supportcareers@gravityer.com
Data Analyst with less than a year in SQL querying and data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented BCA graduate with hands-on experience in data analysis, SQL querying, spreadsheet modeling, and data visualization. Proficient in extracting, cleaning, and transforming structured datasets to surface actionable business insights. Familiar with Google Data Analytics methodologies, Excel/Google Sheets, and Python-based analytics libraries (Pandas, Matplotlib). Strong problem-solving skills and a collaborative approach to working with cross-functional teams. Seeking a Data Analyst role to leverage technical and analytical expertise in a dynamic, data-driven environment.
St. George's College, Aruvithura (MG University)
Bachelor of Computer Applications (BCA)
August 1, 2022 – June 30, 2025
St. Antony's HSS, Poonjar
Higher Secondary Education (Plus Two)
June 1, 2020 – May 31, 2022
St. Antony's HSS, Poonjar
SSLC
June 1, 2019 – May 31, 2020
Sales & Inventory Analytics - E-Commerce Data Dashboard
October 1, 2025 – June 1, 2026
Performed end-to-end exploratory data analysis on e-commerce transaction datasets to identify top-selling products, seasonal revenue trends, and customer purchasing patterns. Built automated data-cleaning pipelines in Python (Pandas) to handle missing values, duplicates, and outliers across multi-source CSV datasets. Designed interactive summary dashboards in Google Sheets and Excel using PivotTables, dynamic charts, and conditional formatting for stakeholder reporting. Wrote optimised MySQL queries (JOINS, GROUP BY, aggregations) to extract KPI metrics from orders, products, and user tables for business reporting.
View ProjectHelpDesk - Operational Metrics & SLA Reporting System
October 1, 2025 – June 1, 2026
Designed SQL Server reporting views and stored procedures to track SLA breach rates, ticket resolution times, and agent performance metrics for management dashboards. Built audit-log query pipelines to generate aggregate operational reports, enabling data-driven decisions on support capacity and response-time targets. Modelled relational schema (users, tickets, categories, priorities) with indexed joins to ensure efficient query performance on large datasets.
View ProjectMediLab - Healthcare Appointment & Data Analytics Platform
October 1, 2025 – June 1, 2026
Designed relational data models for patients, lab bookings, and test reports; wrote complex SQL queries to generate appointment frequency and revenue summary reports. Implemented server-side data validation and cleaning to maintain dataset integrity for accurate downstream reporting and analysis. Conducted structured manual testing and defect tracking, applying data-quality checks to ensure reporting accuracy before production deployment.
View ProjectGoogle Data Analytics – Foundations
Google / Coursera
January 1, 2024 – Present
Introduction to Prompt Engineering Fundamentals
Simplilearn
January 1, 2024 – Present
Introduction to Responsible AI
Simplilearn & Google Cloud
January 1, 2024 – Present
First Prize - Coding Competition
Dept. of Computer Applications, St. George's College
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce, helpdesk operations, and healthcare, indicates an adaptability to different business domains. The focus on data analysis, reporting, and dashboard creation across all projects aligns well with a Data Analyst role. The certifications in Google Data Analytics and AI fundamentals show a proactive approach to learning and staying current with industry trends, suggesting a good cultural fit for a growth-oriented environment. However, all projects are personal, which might indicate a lack of experience in collaborative, production-level environments.
Soft Skills & Operational Fit
The candidate highlights analytical problem-solving, logical thinking, excellent communication, team collaboration, attention to detail, data quality focus, and time management. These soft skills are well-aligned with the demands of a Data Analyst role, which often requires clear communication of insights and meticulous data handling. The project descriptions also implicitly demonstrate these skills through structured data analysis and reporting tasks.