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BI-Trainee with less than a year in SQL, Python, and 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
Computer Engineering graduate with strong skills in SQL, Python, Pandas, NumPy, Advanced Excel, and Power BI. Proficient in data analysis, MIS reporting, dashboard development, data cleaning, data validation, and business insights generation. Skilled at transforming raw data into meaningful reports and visualizations to support data-driven decision-making. Strong analytical thinking, problem-solving, and communication skills with a proactive attitude, quick learning ability, and a passion for leveraging data to solve business challenges.
Godavari College of Engineering, Jalgaon
Bachelor of Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Crime Analysis Dashboard
June 1, 2026 – Present
Cleaned and transformed crime datasets using Excel and Python to ensure data accuracy and consistency. Designed a relational data model in PostgreSQL and wrote SQL queries to analyze crime trends, rates, and case closure patterns. Built an interactive Power BI dashboard with KPIs including crime rate percentage, reporting delays, and metro vs non-metro comparisons.
Power BI E-commerce Analytics Dashboard
June 1, 2026 – Present
Designed an interactive Power BI sales dashboard to track revenue, profit, orders, and customer metrics across brands, categories, and states. Analyzed brand-wise revenue, average selling price, and category performance using bar charts, donut charts, treemaps, and maps. Implemented DAX measures for Total Revenue, Total Profit, Order Quantity, Returns, and KPI tracking. Built dynamic filtering using slicers (Brand, Category, Gender, Age Group, State) for drill-down analysis.
IBM Python Basics for Data Science
Coursera
June 1, 2026 – Present
AccioJob Data Wars Competition - Second Prize
AccioJob
June 1, 2026 – Present
Infosys Springboard Data Visualization Internship
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying BI tools. Participation in a data wars competition and an Infosys internship indicates a drive for self-improvement and engagement within the data community. The diversity of projects (crime analysis, e-commerce) shows adaptability and a broad interest in applying data skills across different domains, which is positive for cultural fit in a dynamic team.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, and communication skills, which are crucial for a BI role. Their proactive attitude and quick learning ability suggest a good operational fit for a trainee position where continuous learning is expected. The project descriptions indicate an ability to work through data challenges and present insights effectively.