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Power BI Developer with less than a year in data analysis and visualization using Power BI & Python.
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Assessing your cultural and operational fit
Highly motivated and detail-oriented individual with hands-on experience in data analysis, visualization, and mining. Proficient in SQL, Python, and Power BI for extracting actionable insights from complex datasets. Demonstrated ability to clean, transform, and analyze data for trend identification and performance measurement through academic and vocational projects.
National Institute of Technology, Raipur
Bachelor of Technology · Mining
August 1, 2022 – June 30, 2026
Expert Pre-University College, Karnataka
12Th Class · PCMC
June 1, 2019 – May 31, 2021
Bal Bharti Senior Secondary School, Rewa
10Th Class · CBSE
N/A – May 31, 2019
Hindustan Copper Limited
Vocational trainee
May 1, 2025 – June 30, 2025
Wārāseonī, Madhya Pradesh, India
Wester Coalfield Limited
Vocational trainee
May 1, 2024 – June 30, 2024
Chandrapur, Maharashtra, India
Real-World Swiggy Data Analysis
June 1, 2026 – Present
Performed end-to-end analysis of Swiggy transactional and orders dataset using SQL, cleaning and transforming raw data into structured tables for deeper insight extraction. Used SQL to extract trends and patterns such as top-selling items, peak order times, and customer order frequencies, enabling actionable insights into demand behavior.
Ecommerce sales dashboard
June 1, 2026 – Present
Designed and developed an interactive Sales Dashboard in Power BI, leveraging Power Query for data cleaning and transformation, and DAX measures to calculate KPIs such as total sales, profit margin, and regional performance. Built dynamic visualizations (sales by category, region, and customer segment) with drill-down and filter functionality, enabling stakeholders to quickly analyze sales trends, top products, and revenue drivers.
IPL Case study
June 1, 2026 – Present
Performed data cleaning, transformation, and exploratory data analysis (EDA) on IPL dataset using Python (Pandas, NumPy) to derive meaningful insights on player performance, match outcomes, and team strategies. Applied data wrangling techniques and statistical analysis to uncover patterns such as toss impact, venue advantage, and player contributions, showcasing ability to convert raw data into business insights.
The Ultimate MySQL Bootcamp-Udemy
Udemy
June 1, 2026 – Present
SQL(Basic) Certificate
Hacker Rank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in Mining, while not directly related to Power BI, shows a diverse educational path. The projects, however, are well-aligned with data analysis and visualization, indicating a strong interest and self-driven learning in the target domain. The 'Go Green Club' involvement suggests a commitment to community and potentially a collaborative work style. The academic nature of all projects and lack of professional experience in the target role might require a supportive environment for growth.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate raw data into actionable insights and build interactive dashboards, suggesting a problem-solving mindset and user-centric approach. The 'Position of Responsibility' as a Co-ordinator for the 'Go Green Club' demonstrates organizational skills, teamwork, and initiative, which are positive indicators for operational fit and collaboration within a team.