Data Analyst with less than a year in Data Analysis & 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
Results-driven Data Analyst with hands-on experience in SQL, Python, Advanced Excel, Power BI, and Tableau. Skilled in data cleaning, transformation (ETL), and building interactive dashboards to analyze large datasets and generate actionable insights. Proficient in KPI tracking, data visualization, and business intelligence reporting to support data-driven decision-making.
Muffakham Jah College of Engineering and Technology
Bachelor of Engineering (B.E.) · Information Technology
August 1, 2021 – June 30, 2025
Ai Variant
Data Analyst Intern
September 1, 2025 – November 1, 2025
Hyderābād, Telangana, India
Insurance Data Analysis Project
June 21, 2026 – Present
Analyzed insurance datasets including policies, claims, and customer data to identify trends in claims and premium growth. Built interactive dashboards for KPI monitoring and business insights using Power BI, Tableau, and Excel. Improved reporting efficiency by structuring data for better visualization and analysis.
View ProjectSmart Cart - Real-Time Grocery Billing System
June 21, 2026 – Present
Developed a real-time product detection system using YOLO and Flask for automated billing. Integrated NodeMCU for weight measurement and cost calculation. Improved checkout efficiency through automation and real-time processing.
Zomato Data Analytics Project
June 21, 2026 – Present
Conducted exploratory data analysis on large-scale food delivery data using SQL, Excel, Power BI, and Tableau. Designed dashboards to track KPIs such as order volume, ratings distribution, and delivery performance. Identified peak demand trends and customer preferences to support business optimization.
View ProjectData Analyst Certification
ExcelR
January 1, 2025 – Present
Python Certification
GreatLearning
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning approach and an interest in diverse data analysis applications (food delivery, insurance, real-time systems). The inclusion of a 'Smart Cart' project, while not directly data analysis, shows an interest in broader technical applications and innovation. The certifications indicate a commitment to continuous learning. However, the limited professional experience (one internship) and focus on personal projects suggest a need for more exposure to collaborative, large-scale enterprise environments to fully assess cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, communication, and team collaboration as soft skills. The project descriptions indicate an ability to work on structured data analysis tasks and contribute to business optimization through insights. The internship experience suggests an operational fit for roles requiring data manipulation and visualization.