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Data Analyst with less than a year in Python, SQL & Power BI for end-to-end data analysis.
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Results-driven MCA graduate (CGPA 8.33) with hands-on experience as a Data Analyst Intern at Innomatics Research Labs. Proficient in Python, SQL, Power BI, and Excel for end-to-end data analysis from data cleaning and EDA to dashboard creation and stakeholder reporting. Experienced in executing data-driven operational tasks, ensuring process compliance, identifying process gaps, and delivering accurate outputs. Strong communication skills, attention to detail, and a proactive mindset with the ability to thrive in both analytical and operations roles.
Gayatri Vidya Parishad College
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Aditya Degree College
Bachelor of Science (BSc)
August 1, 2019 – June 30, 2022
Aditya Junior College
Intermediate (MPC)
June 1, 2017 – May 31, 2019
Innomatics Research Labs
Data Analyst Intern
August 1, 2025 – February 1, 2026
India
Flipkart Product Data Scraping & Analysis
August 1, 2025 – February 1, 2026
Scraped and processed 5,000+ e-commerce product records using BeautifulSoup and Pandas, reducing manual data collection effort by 40%. Performed EDA to identify pricing trends, rating distributions, and brand-level variation uncovering a 15% price disparity across product categories. Built interactive Power BI dashboards with DAX measures, KPIs, and slicers enabling stakeholders to make data-informed decisions 30% faster. Wrote optimized SQL queries to store and retrieve structured product data for efficient cross-analysis of pricing and ratings.
Restaurant & Consumer Behavior Analysis
August 1, 2025 – February 1, 2026
Built and normalized SQL database from CSV files (consumers, restaurants, cuisines, ratings) using Joins, Views, and Stored Procedures. Developed analytical queries to segment consumers and compare restaurant ratings, improving data retrieval efficiency by 35%. Conducted gap analysis on existing data structures and proposed schema improvements to support business intelligence reporting. Summarized findings in structured reports translating data insights into clear business recommendations.
Amazon Sales Data - Exploratory Data Analysis
August 1, 2025 – February 1, 2026
Performed end-to-end EDA on Amazon sales data including cleaning, outlier detection, and feature transformation for reliable insights. Applied univariate, bivariate, and multivariate visualizations to reveal sales trends, customer behavior, and category performance. Delivered clear, structured analysis reports highlighting actionable business insights for decision-making.
Movie Sales Performance Dashboard
August 1, 2025 – February 1, 2026
Designed a star schema data model and built a multi-page Power BI dashboard (Overview, Genre Analysis, Top Performers, Correlation) to analyze movie revenue, ratings, and trends. Automated reporting pipelines using DAX calculated columns and measures, reducing manual reporting effort by 50%. Improved trend identification speed by 40% through optimized data modeling, enabling faster root cause analysis and business decision-making. Documented ETL processes, data sources, and KPI definitions to ensure reproducibility and stakeholder alignment.
Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
AWS Cloud Security Foundations
AWS Academy
June 1, 2026 – Present
Data Analytics: Turning Raw Data into Real Decisions
Innomatics Research Labs
June 1, 2026 – Present
Data Analysis With SQL
Innomatics Research Labs
June 1, 2026 – Present
Python Programming
Innomatics Research Labs / Udemy
June 1, 2026 – Present
Data Analysis Using Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, covering e-commerce, sales, restaurant behavior, and movie performance, indicates a broad interest in applying data analysis across various domains. The academic nature of most projects, combined with a single internship, suggests a foundational understanding rather than extensive industry experience. The certifications further demonstrate a proactive approach to skill development. While the skills align well with a Data Analyst role, the lack of diverse professional experience beyond an internship might require some cultural adaptation to different organizational structures and problem-solving approaches in a full-time role.
Soft Skills & Operational Fit
The candidate's resume highlights attributes such as being a quick learner, adaptable, self-motivated, detail-oriented, analytical thinker, problem solver, and strong communicator. These traits suggest a good operational fit for roles requiring independent work, continuous learning, and effective collaboration. The internship experience also mentions presenting weekly data insights to stakeholders, which reinforces communication and data-storytelling skills crucial for operational roles.