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Data Analyst Intern with less than a year in data analysis & business intelligence.
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Assessing your cultural and operational fit
Results-driven Data Analyst with expertise in data analysis, statistical modeling, and business intelligence. Proficient in Python, SQL, and Power BI, with a proven track record of transforming large, complex datasets into actionable insights that support data-driven decision-making. Skilled in data cleaning, exploratory data analysis (EDA), KPI tracking, and interactive dashboard development. Demonstrated ability to automate reporting workflows and collaborate cross-functionally to deliver scalable analytics solutions that drive measurable business growth.
Shoolini University
MBA · Data Science and Business Analytics
August 1, 2024 – June 30, 2027
Maulana Abul Kalam Azad University of Technology
Bachelor of Technology (B.Tech) · Engineering
August 1, 2018 – June 30, 2022
Laranza India International
Data Analyst Intern
November 1, 2024 – April 1, 2025
India
Retail Sales Data Analysis
June 1, 2026 – Present
Cleaned and processed 10,000+ retail sales records using Python (Pandas, NumPy) to ensure data integrity and consistency. Performed trend analysis and KPI evaluation to identify top-performing product categories and seasonal demand patterns. Built an interactive Power BI dashboard monitoring YoY growth, revenue trends, and product performance, generating insights that supported localized marketing and pricing strategies.
E-Commerce Customer Sentiment Analysis
June 1, 2026 – Present
Analyzed 5,000+ customer reviews to identify key drivers of satisfaction and dissatisfaction using text preprocessing and keyword frequency analysis. Created Matplotlib visualizations to highlight feedback trends and delivery-related issues for stakeholders. Delivered actionable insights that improved customer experience and streamlined logistics operations.
Hospitality Revenue Performance Analysis
June 1, 2026 – Present
Consolidated multi-source hospitality datasets to evaluate occupancy rates and revenue performance across property types. Calculated key KPIs including Revenue per Available Room (RevPAR) and designed Power BI dashboards comparing weekday vs. weekend performance. Identified underperforming regions and uncovered revenue improvement opportunities using interactive filtering and drill-down analysis.
Cultural Fit Analysis
The candidate's projects cover diverse domains like retail sales, e-commerce, and hospitality, indicating adaptability and a broad interest in applying data analysis across different business contexts. The focus on delivering actionable insights and improving business processes aligns well with a results-oriented culture. The ongoing MBA in Data Science and Business Analytics shows a commitment to continuous learning and professional development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through their experience in automating reporting workflows and collaborating with sales and operations teams. Their project descriptions highlight problem-solving and analytical thinking. Communication skills appear adequate based on the clarity of project and experience descriptions, though no specific communication test scores are available for a deeper assessment.