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Power BI Developer with less than a year in data visualization and business intelligence.
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Data Analyst and Power BI Developer with a solid foundation in Power BI, SQL Server, DAX, and Power Query. Experienced in working with datasets to create interactive dashboards and perform data cleaning and transformation. Strong interest in data analytics and business intelligence, with a commitment to learning new tools and contributing to data-driven business decisions
SISTec GN, Bhopal
B.Tech · Computer Science
N/A – June 30, 2026
Decode Data Academy
Data Analyst Intern
January 1, 2026 – May 1, 2026
India
Weather Analytics Dashboard
January 1, 2026 – February 1, 2026
Developed an interactive weather analytics dashboard in Power BI by integrating real-time weather data using REST APIs and transforming nested JSON data with Power Query. Designed a relational data model and created dynamic visualizations for temperature, AQI, humidity, wind speed, UV index, rainfall, and forecast trends. Built KPI cards, trend analysis charts, and location-based insights to improve weather monitoring and analytical reporting.
View ProjectPlant Sales Analysis Dashboard
January 1, 2026 – February 1, 2026
Developed an interactive plant sales analytics dashboard in Power BI to analyze product categories, pricing trends, discounts, ratings, and inventory distribution. Performed data cleaning and preprocessing in Excel and Power Query by handling missing values, correcting data formats, and transforming raw sales data into analysis-ready datasets. Designed dynamic visualizations and KPI cards for plant type analysis, special price comparison, plant size distribution, return status tracking, and category-wise performance monitoring. Built interactive slicers and analytical reports to identify high-demand plant categories, pricing patterns, customer purchase trends, and overall sales insights for business decision-making.
View ProjectHigh Cost in Smart Agriculture Analysis Dashboard
January 1, 2026 – February 1, 2026
Developed an interactive smart agriculture analytics dashboard in Power BI to analyze operational costs, crop pricing, connectivity expenses, energy usage, and farm investment patterns. Performed data cleaning and preprocessing in Excel and Power Query by handling missing values, correcting data inconsistencies, and transforming raw agricultural datasets into analysis-ready formats. Designed KPI cards, trend analysis charts, and dynamic visualizations for CAPEX monitoring, crop-wise profitability, equipment usage, farm size distribution, and cost comparison analysis. Integrated Generative AI-driven insights to identify major cost-driving factors, spending trends, and operational inefficiencies for improved smart farming decision-making.
View ProjectCultural Fit Analysis
The candidate's projects cover diverse domains (weather, sales, agriculture), indicating a broad interest and adaptability. The use of various tools and technologies (Power BI, SQL, Excel, Python, Generative AI) suggests a willingness to learn and apply new skills. The internship experience shows an ability to work in a professional setting. However, the candidate is still pursuing a B.Tech degree, which implies a junior-level cultural fit rather than a senior one, as they are still in the learning phase.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work on diverse projects, suggesting adaptability. The focus on data-driven decision-making and business insights aligns well with operational needs. The internship experience indicates a capacity for structured work environments and collaboration, though direct evidence of communication and teamwork skills is limited to project descriptions.