Data Analyst with 1+ years in Data Analysis & Business Intelligence
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Assessing your cultural and operational fit
Aspiring Data Analyst with hands-on experience in SQL, Python, Power BI, Tableau, and Microsoft Excel. Skilled in Data Analysis, Business Intelligence, Dashboard Development, KPI Reporting, Data Cleaning, Data Visualization, and Exploratory Data Analysis. Passionate about transforming raw data into actionable business insights and supporting data-driven decision making.
Vidya Vihar Institute of Technology
Bachelor of Technology · Computer Science Engineering
August 1, 2022 – June 30, 2026
GD Goenka Toddler House School
Accounts Assistant
March 1, 2025 – Present
India
FuelNow - Fuel Service Management Platform
June 1, 2025 – June 1, 2026
• Developed a web-based fuel service management platform for customer and service request management. • Analyzed operational data to identify service demand trends and improve resource planning. • Created KPI reports and dashboards supporting business decision-making.
Customer Churn Analysis & Prediction
June 1, 2025 – June 1, 2026
• Performed exploratory data analysis on 7,000+ customer records. • Identified churn drivers using statistical analysis and customer segmentation. • Built Power BI dashboards visualizing customer retention and churn trends. • Developed a Machine Learning model using Scikit-Learn achieving 80%+ prediction accuracy.
Retail Sales Analytics Dashboard
June 1, 2025 – June 1, 2026
• Analyzed and transformed 15,000+ retail sales records using SQL and Python for business reporting. • Built an interactive Power BI dashboard tracking Revenue, Profit, Orders, Customer Segments, and Product Performance. • Automated KPI reporting workflows reducing manual analysis effort by 60%. • Identified top-performing products contributing over 70% of total revenue through trend and profitability analysis.
View ProjectGoogle Data Analytics Professional Certificate
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Python for Data Science
IBM
June 1, 2026 – Present
Human Computer Interaction
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows initiative through multiple personal projects demonstrating a strong interest in data analysis. The certifications from Google and IBM further indicate a proactive learning attitude. The current role as an Accounts Assistant, while not directly a data analyst role, involves data management and reporting, suggesting an ability to work with structured data and contribute to business operations. The diversity of projects (fuel service, customer churn, retail sales) indicates adaptability and a broad interest in applying data skills across different domains.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify business problems (e.g., churn drivers, top-performing products) and translate data into actionable insights. The experience as an Accounts Assistant suggests attention to detail and structured reporting, which are valuable for operational fit in a data-driven role. However, direct experience in a dedicated data analyst role is limited.