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Data Analyst with less than a year in Data Cleaning & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst with a B.Tech and expert skills in Data Cleaning, Data Analysis, and Data Visualization. Eager to apply problem-solving expertise to drive data-driven insights and contribute to impactful decision-making.
KIET GROUP OF INSTITUTIONS
B.Tech · Civil
August 1, 2017 – June 30, 2021
KENDRIYA VIDYALAYA NO 2 AFS HINDON GHAZIABAD UP
Intermediate
June 1, 2016 – May 31, 2017
Customer Shopping Behavior Analysis
January 1, 2026 – January 1, 2026
Analyzed and cleaned customer transaction data using Pandas. Performed SQL analysis to extract sales and customer insights. Built a Power BI dashboard to visualize KPIs and trends. Identified top categories contributing ~60-70% of sales.
View ProjectDiwali Sales Data Analysis
December 1, 2025 – December 1, 2025
Cleaned and analyzed sales data to identify customer purchasing trends. Performed EDA and created visualizations for insights on demographics and products. Identified that married women aged 26-35 were the highest contributing customer segment.
View ProjectMadhav Ecommerce Sales Dashboard
November 1, 2025 – November 1, 2025
Built a business intelligence dashboard analyzing 5K+ transactions. Created DAX measures to track revenue, profit, and category performance. Found that Clothing contributed ~63% of sales volume and COD dominated payments (~44%). Enabled interactive drill-down analysis using filters and slicers.
View ProjectPower Bi for Beginners
Simpli-web
June 1, 2026 – Present
Python for Data Analysis & Visualization
Udemy
June 1, 2026 – Present
Mastering MySQL: From Beginner to Advanced
Udemy
June 1, 2026 – Present
Completed Microsoft Advanced Excel
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong drive for self-improvement and a clear focus on transitioning into a data analyst role, which aligns with a growth-oriented culture. The personal projects demonstrate initiative and a practical application of learned skills. The lack of professional experience means there's no direct evidence of fitting into a corporate culture, but the project diversity and skill breadth suggest adaptability. The civil engineering background followed by a pivot to data analytics indicates a willingness to learn and adapt.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to identify key trends and communicate findings, suggesting foundational analytical and problem-solving soft skills. The 'Career Preparation' section highlights discipline and analytical thinking developed during competitive exam preparation, which could translate to a structured approach to work. However, direct evidence of teamwork, stakeholder communication, or project management within a professional operational context is not available.