Data Analyst with 1+ years in Python, SQL & Power BI
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Assessing your cultural and operational fit
Data Analyst with hands-on experience in Python-based data collection, SQL, data cleaning, EDA, Excel reporting, Power BI dashboarding, and market research analysis. Skilled in converting raw datasets into clear KPI summaries, trend insights, business reports, and decision-ready recommendations.
LJ Institute of Engineering and Technology
Bachelor of Technology (B.Tech) · Artificial Intelligence and Data Science
November 1, 2022 – December 31, 2026
Azentra Technologies Private Limited
Data Analyst Intern
January 1, 2026 – Present
India
Actowiz Data Solutions
Python Developer - Data Analysis & Automation
January 1, 2025 – December 31, 2025
India
Premium Cosmetics, Perfumes & Curated Lifestyle Products Industry Analysis
January 1, 2026 – June 1, 2026
Completed end-to-end industry analytics for premium cosmetics, perfumes, curated home decor, and gifting products. Studied market size, export potential, key manufacturers, pricing segments, competitors, and product positioning. Prepared SWOT, PESTLE, market sizing, competitor benchmarking, manufacturer mapping, and export/import insights. Built structured findings with charts and clear recommendations for market entry, sourcing, and sales strategy.
E-commerce Sales Performance & Customer Insights Dashboard
January 1, 2026 – June 1, 2026
Created a data analytics project using sales, customer, product, category, order, payment, region, and revenue data. Analyzed revenue, profit, average order value, monthly trends, top products, regional performance, and customer behavior. Designed a Power BI dashboard with KPIs, filters, trend charts, category comparison, and executive insight summary. Delivered recommendations for inventory planning, discount optimization, customer targeting, and performance improvement.
Exploratory Data Analysis for Machine Learning
IBM
June 1, 2026 – Present
Applied Data Science with Python Specialization
University of Michigan
June 1, 2026 – Present
IBM Machine Learning Professional Certificate
IBM
June 1, 2026 – Present
Introduction to Data Science in Python
University of Michigan
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with relevant internships and certifications, aligns well with a data-driven culture. Their diverse projects, ranging from industry analysis to e-commerce performance, demonstrate adaptability and a broad interest in applying data analytics to different business contexts. The focus on delivering recommendations and insights indicates a proactive approach to contributing value, which is a good cultural fit for roles requiring impact.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable business recommendations, suggesting good problem-solving and communication skills. Their experience in market research and industry analysis points to a business-oriented mindset, which is valuable for a Data Analyst role. The structured approach to data quality and documentation in their internship roles suggests attention to detail and operational discipline.