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Data Analyst with 1+ years in business intelligence, SQL & Python.
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Assessing your cultural and operational fit
Results-driven Data Analyst with 9+ months of hands-on experience transforming raw data into actionable business intelligence across airline, hospitality, and banking domains. Proficient in SQL, Python, Power BI, and Tableau skilled in end-to-end analytics workflows from ETL and exploratory data analysis to KPI dashboard development and stakeholder reporting. Adept at identifying revenue opportunities and operational inefficiencies through data storytelling.
GH Raisoni University, Chhindwara, MP
B.Tech · Computer Science
August 1, 2021 – June 30, 2025
Little Step Higher Secondary School, Borgaon, MP
Senior Secondary · PCM
June 1, 2019 – May 31, 2021
AiVariant
Data Analytics Intern
June 1, 2025 – March 1, 2026
India
CodeAlpha
Data Science Intern
January 1, 2025 – April 1, 2025
India
Customer Feedback Sentiment Analysis
January 1, 2026 – June 1, 2026
Processed 200+ product reviews using Python NLP techniques; created WordCloud and Treemap visualizations to identify top 5 dissatisfaction drivers, informing product improvement priorities.
Financial Performance & KPI Dashboard
January 1, 2026 – June 1, 2026
Developed a Power BI dashboard to track Profit, Sales, and Returns with dynamic DAX measures; enabled month-over-month trend analysis that highlighted a 15% return rate anomaly in Q3.
Customer Behavior & Purchase Pattern Analysis
January 1, 2026 – June 1, 2026
Analyzed 3,900+ transactions using SQL and Python to segment customers by purchase frequency, recency, and value (RFM model); uncovered a high-value repeat-buyer cohort representing 40% of revenue. Built Power BI dashboards visualizing customer segmentation and purchase trends, enabling targeted retention strategy recommendations.
IBM Data Science with Python
IBM
June 1, 2026 – Present
Data Analyst Program
ExcelR Solutions
June 1, 2026 – Present
Data Analytics
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across airline, hospitality, and banking verticals, along with personal projects like sentiment analysis and customer behavior analysis, indicates a broad interest in applying data analytics to various business problems. This breadth of experience and continuous learning through certifications suggests a proactive and curious mindset, which aligns well with a culture that values continuous improvement and diverse problem-solving approaches. The target role of Data Analyst is well-aligned with their demonstrated skills and internship experiences.
Soft Skills & Operational Fit
The candidate demonstrates strong data storytelling and stakeholder reporting skills, crucial for operational fit in a data-driven environment. Their experience in cross-functional collaboration, as evidenced by delivering insights to non-technical stakeholders, suggests a good fit for team-oriented roles. The project diversity indicates adaptability and a proactive approach to problem-solving.