
Data Analyst Intern with less than a year in SQL, Power BI & Python.
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Data Analyst with hands-on experience in SQL, Power BI, and Python. Led data cleaning and analysis projects, developed interactive BI dashboards to monitor key metrics, and delivered actionable insights that improved revenue growth and operational efficiency Strong foundation in statistics and business metrics.
Tiruppur Kumaran College for Women, Bharathiyar University
Bachelor of Computer Application (BCA) · Computer Application
July 1, 2019 – May 1, 2022
Mentorness
Data Analyst Intern
March 1, 2024 – April 1, 2024
India
Bank Customer Churn Analysis
June 1, 2025 – Present
Queried 10K+ customer records, identifying 20.4% churn rate with gauge, combo, and donut charts. Segmented high-risk profiles across 3 key variables (credit score, balance, age) to enable targeted retention strategy. Delivered interactive dashboards for real-time operational and business insights.
CRM Sales Analysis
December 1, 2024 – Present
Cleaned and transformed sales and campaign data using Power Query to improve reporting accuracy. Created dashboards to track product-level trends, uncovering 15% revenue growth opportunities. Automated dashboard refreshes to reduce reporting turnaround time by 50%.
E-Commerce Sales Analysis
March 1, 2024 – Present
Analyzed 3,000+ opportunities, revealing 63% win rate and $10M revenue insights. Identified 4+ pipeline drop-off stages and recommended solutions to improve 63% closure rate. Automated Excel and Power BI reporting processes, cutting manual prep time by 35%.
Supply Chain Performance – FMCG Sector
January 1, 2024 – Present
Improved Fill Rate by 30%, On-Time Delivery by 20% by tracking KPIs and forecasting inventory using SQL trends. Built dashboards to visualize delivery performance, process bottlenecks, and reduce OTIF shortfalls by 13.75%. Cleaned and validated logistics data to ensure accurate reporting and actionable insights for leadership.
Sentiment Analysis – Amazon Fine Food Reviews
December 1, 2023 – Present
Examined 500K+ customer reviews using Python and NLP (TextBlob, VADER) to extract sentiment insights. Achieved 90% sentiment classification accuracy and identified key positive/negative trends. Automated 5+ visualization scripts (bar charts, WordClouds), reducing manual reporting time by 40%.
Google Certified Data Analyst
Coursera
June 1, 2026 – Present
Data Analysis Bootcamp
Grow Data Skills
June 1, 2026 – Present
Data Visualization for Business Insights
TATA
June 1, 2026 – Present
Python Foundation, MySQL, Power Pivot & DAX, Google Sheets & Statistics
Maven Analytics
June 1, 2026 – Present
Data Analyst in Python
DataCamp
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse set of projects covering CRM, e-commerce, supply chain, and sentiment analysis, indicating a broad interest in applying data analysis across different domains. The certifications from various platforms (Coursera, DataCamp, Maven Analytics) show a proactive approach to learning and skill development. The internship experience, though short, aligns directly with the target role. This breadth of exposure and continuous learning mindset suggests a good cultural fit for a dynamic data team.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse data analysis tasks, suggesting adaptability. The focus on automating processes and improving reporting efficiency points to a results-oriented approach. However, without specific behavioral assessment data, it's difficult to fully assess stress handling, team collaboration, or work attitude.