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Data Analyst with less than a year in Python, SQL, and business intelligence tools.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-Oriented and analytical Master of Computer Applications (MCA) student with a strong background in mathematical and statistical reasoning from a foundational Physics education. Proficient in leveraging Python, SQL, and business intelligence tools to build data pipelines, perform comprehensive Exploratory Data Analysis (EDA), and translate complex datasets into strategic, actionable business insights.
Quantum University
Master of Computer Applications
August 1, 2025 – June 30, 2027
Maa Shakumbhari University
Master of Science · Physics
August 1, 2023 – June 30, 2025
Chaudhary Charan Singh University
Bachelor of Science · Mathematics, Statistics & Physics
August 1, 2019 – June 30, 2022
Super Store Sales Dashboard
January 1, 2026 – December 31, 2026
Analyzed Sales, Profit, Orders, and Delivery performance through interactive visualizations. Identified critical business trends and regional performance gaps by category, state, and region.
Zomato Data Analysis
January 1, 2026 – December 31, 2026
Performed Exploratory Data Analysis (EDA) using Python, Pandas, and Seaborn to identify customer preferences and dining trends. Used Seaborn heatmaps to visualize correlations between restaurant types and online ordering availability. Extracted actionable insights on cuisines and rating distributions to map market demand.
Netflix Content & Trend Analysis System
January 1, 2026 – December 31, 2026
Architected database schemas to ingest streaming metadata with variables like show_id, type, cast, country, and release year. Developed SQL verification scripts utilizing conditional aggregations to audit data quality and isolate missing records. Formulated optimized query logic employing conditional filtering and GROUP BY clauses to segregate volumetric counts and structural distribution ratios. Streamlined inspection pipelines by implementing precise boundary limits to validate formatting consistency and schema integrity.
Vrinda Store Annual Report 2022
January 1, 2022 – December 31, 2022
Developed an interactive Excel dashboard to analyze sales performance and customer trends. Used Pivot Tables, Pivot Charts, and Slicers for data analysis and visualization. Identified key business insights including top-performing states and sales channels. Performed data cleaning and preprocessing to improve reporting accuracy.
Ultimate Job-Ready Al-Powered Data Analytics Course
CodeWithHarry
March 1, 2026 – Present
AI-Powered Excel Micro Course
Unknown
February 1, 2026 – Present
Power BI Micro Course
Unknown
February 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across various domains (e.g., retail, food delivery, streaming). The pursuit of multiple degrees and certifications indicates a strong drive for continuous learning and skill development. The projects are all academic, which is typical for an entry-level candidate, but they show initiative and a focus on practical application of learned skills. The breadth of tools used (Python, SQL, Excel, Power BI) suggests adaptability and a willingness to explore different technologies.
Soft Skills & Operational Fit
The candidate lists Problem Solving, Team Collaboration, Statistical Precision, and Communication as soft skills. These are highly relevant for a Data Analyst role. The project descriptions indicate an ability to work with diverse datasets and translate findings into business insights, suggesting a good operational fit for data-driven environments.