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Data Analyst with less than a year in SQL & Power BI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with hands-on 1 year experience in SQL, Python, Power BI, DAX, Power Query. Skilled in data cleaning, transformation, exploratory data analysis (EDA), KPI tracking, and building interactive dashboards that drive business decisions. Adept at translating large, complex datasets into clear, actionable insights for stakeholders.
Sipna College of Engineering and Technology
B.Tech · Computer Science Engineering
February 1, 2021 – July 1, 2025
CODEIT INFOTECH
Data Analyst
July 1, 2025 – Present
Pune, Maharashtra, India
Customer Shopping Analysis
June 18, 2026 – Present
• Analyzed 3,900+ customer shopping transactions using Python, SQL, and PostgreSQL to identify customer behavior, revenue trends, and product performance. • Performed data cleaning, missing value handling, feature engineering, and database integration using Pandas and PostgreSQL for accurate analysis. • Executed SQL queries to analyze customer segmentation, top-selling products, subscription behavior, and discount impact on sales. • Built an interactive Power BI dashboard to visualize KPIs such as revenue, customer distribution, average purchase amount, and category-wise sales insights.
Kisan Mart Sales & Inventory Dashboard
June 18, 2026 – Present
• Developed an interactive Power BI dashboard to monitor sales performance, inventory status, and business KPIs. • Cleaned, transformed, and organized raw sales data using Excel and Power Query for accurate reporting. • Used Excel Pivot Tables, Lookup Functions, and Data Analysis techniques to identify sales trends and customer purchasing patterns. • Created KPI dashboards to track Total Sales, Profit, Revenue Growth, and Product Performance. • Designed dynamic reports with slicers, filters, and drill-through features to improve dashboard usability. • Analyzed category-wise and product-wise sales data to identify top-performing and low-performing products. • Generated Business Insights that supported inventory planning and sales optimization.
Generative AI
Google Cloud
June 1, 2026 – Present
IndiaSkills 2025
State-Level Qualifier
January 1, 2025 – Present
Machine Learning in Agriculture: A Review of Farming Fertilizer
IJIRT Paper
January 1, 1739 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical business problems (customer shopping analysis, sales & inventory). The inclusion of a publication and certifications (Generative AI, IndiaSkills 2025) indicates a proactive approach to learning and self-improvement. The current role as a Data Analyst aligns well with the target role, suggesting a clear career path. The breadth of tools used (Python, SQL, Power BI, Excel, PostgreSQL) shows versatility. However, the experience level is very junior (starting July 2025), which might impact cultural fit for senior roles requiring extensive industry experience.
Soft Skills & Operational Fit
The candidate lists problem-solving, communication, collaboration, adaptability, and continuous learning as soft skills. The project descriptions and work experience indicate an operational fit for roles requiring data visualization, reporting, and analytical insight generation. The use of AI tools like ChatGPT and Google Gemini suggests an openness to leveraging modern technologies in their workflow.