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Data Analyst with less than a year in Python, SQL, and Power BI
Data Analyst fresher with hands-on experience in Python (Pandas, NumPy, Matplotlib), SQL, Excel, and Power BI. Completed 3 end-to-end analytics projects across retail, e-commerce, and hospitality domains. Completed a 6-Month Data Analyst Certification and a 2-Month Data Analyst Internship at Cedura. Skilled in data cleaning, EDA, feature engineering, and building interactive dashboards that translate complex data into clear, actionable business insights.
VSM College of Engineering
B.Tech · Computer Science Engineering
August 1, 2021 – June 30, 2025
Cedura
Data Analyst Intern
April 1, 2026 – June 1, 2026
India
Hospitality Domain Performance Dashboard
June 17, 2026 – Present
Analyzed hotel performance data covering bookings, revenue, occupancy, and cancellations across Luxury and Business categories. Designed KPI metrics: Total Revenue (1.71B), Cancellation Rate (24.83%), Occupancy Rate (57.87%), RevPAR, DSRN/DBRN/DURN. Performed property-level comparison on revenue, realization %, and bookings to identify top and underperforming locations.
Adidas US Sales Analysis Dashboard
June 17, 2026 – Present
Analyzed Adidas US sales data (2020-2021) evaluating revenue trends, product performance, and regional sales distribution. Created calculated DAX fields for time-based analysis — year, month, gender category, and total sales metrics. Designed interactive dashboard with KPI cards, bar charts, line charts, and slicers for dynamic filtering and drill-down. Identified 2021 sales growth, equal male/female revenue, and West region as the highest revenue generator.
Super Store Sales Analysis
June 17, 2026 – Present
Analyzed 50,000+ sales records to uncover profit trends, customer segments, and regional distribution. Performed data cleaning and preprocessing – handled missing values, corrected data types, and removed inconsistencies. Engineered features including profit margin, shipping duration, and discount categories to support deeper analysis. Built visualizations identifying loss-making discount patterns, top product categories, and high-revenue regions.
The Joy of Computing Using Python
NPTEL / SWAYAM
June 1, 2026 – Present
Programming Fundamentals
LinkedIn Learning
June 1, 2026 – Present
Data Analyst Internship Certificate
Cedura
April 1, 2026 – Present
Data Analyst Certification
Cedura
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across hospitality, retail, and e-commerce domains, along with a Data Analyst internship, indicates a broad interest in applying data analysis skills to various business contexts. This adaptability and willingness to explore different areas suggest a good cultural fit for dynamic environments. The focus on practical, project-based learning also aligns with a results-oriented culture.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Communication, Problem Solving, and Time Management as soft skills. These are crucial for a Data Analyst role, indicating a good operational fit. The project descriptions also reflect an ability to translate complex data into actionable insights, which aligns with problem-solving and communication.