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Data Analyst with 1+ years in retail and e-commerce analytics, Power BI, SQL, and Python
Results-driven Data Analyst with hands-on experience in retail and e-commerce analytics, dashboard development, KPI reporting, and business intelligence using SQL, Power BI, Excel, Tableau, Python, and Microsoft Fabric. Skilled in analysing large datasets, identifying trends, automating reports, and delivering actionable insights to support business decisions. Experienced in data validation, performance tracking, visualisation, and cross-functional collaboration for sales, marketing, and operational analytics.
St. Joseph's College of Engineering and Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2021 – June 30, 2025
Marina Home
Digital Analytics / E-commerce Data Analyst Intern
January 1, 2026 – April 1, 2026
Dubai, Dubai, United Arab Emirates
DataGuc
Data Analytics Intern
May 1, 2025 – January 1, 2026
Abu Dhabi, United Arab Emirates
Headstart FZ LLC
AI & Data Science Intern
May 1, 2023 – June 1, 2023
Dubai, Dubai, United Arab Emirates
Business Performance Analysis Dashboards
June 1, 2026 – June 1, 2026
Developed end-to-end dashboards to analyze HR admissions, lead conversion, and salesman performance Tracked and visualized KPIs including funnel drop-offs, target vs. achievement, and individual contributor performance
Autism Detection Using Deep Learning
June 1, 2026 – June 1, 2026
Developed a CNN-based classification system using transfer learning (ResNet50, VGG16/19) Achieved 97.5% validation accuracy and evaluated model performance using precision, recall, and F1-score
Google Data Analytics Professional Certificate
Coursera Google
June 1, 2026 – Present
Data Modelling in Power BI
Simplilearn
June 1, 2026 – Present
Data Analyst Certification
OneRoadmap
June 1, 2026 – Present
Tata - Data Visualisation: Empowering Business with Effective Insights Job Simulation
Forage
June 1, 2026 – Present
SQL (Basic) Certification
HackerRank
June 1, 2026 – Present
Introduction to Machine Learning
NPTEL IIT Madras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships cover diverse domains (e-commerce, HR, sales, marketing, AI/ML), suggesting adaptability and a broad interest in applying data analytics across different business contexts. This diversity, coupled with their stated soft skills, indicates a good cultural fit for a dynamic analytical environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, stakeholder communication, and cross-functional collaboration skills through their project and internship descriptions. Their ability to translate business needs into technical solutions and present insights to non-technical audiences indicates good operational fit for a data analyst role.