Data Analyst with less than a year in Data Analysis & Visualization
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Data Analyst with a strong foundation in SQL, Python, Excel, and Power BI. Skilled in data cleaning, data analysis, and data visualization to generate actionable insights and support data-driven decision-making. Passionate about solving business problems and contributing in fast-paced analytical environments.
PES Modern College of Engineering, Pune
Bachelor of Engineering · Electrical Engineering
August 1, 2022 – June 30, 2025
Government Polytechnic,Karad
Diploma
August 1, 2019 – June 30, 2022
Tata Group (Forage)
Data Visualization Virtual Experience
April 1, 2026 – June 1, 2026
India
EFFECTS OF DIMMING ON POWER CONSUMPTION IN LIGHTING
June 1, 2026 – Present
Analyzed lighting performance across 10%-100%intensity levels using Phase Cut, 0-10V, and DALI dimming technologies. Evaluated key parameters including current, power consumption, lux intensity, and harmonic distortion to compare dimming efficiency and lighting behavior. Created Excel dashboards and Pivot Tables to identify insights such as DALI dimming providing more stable lighting performance and lower harmonic variations at different intensity levels.
View ProjectRETAIL SALES & CUSTOMER INSIGHTS
June 1, 2026 – Present
Analyzed detail sales transactions using SQL queries to identify customer behavior, revenue trends, and product performance insights. Applied SQL Joins, aggregations, filtering, and CTEs to extract meaningful business insights from sales data. Evaluated sales and revenue patterns at product and customer level to support data-driven decision-making.
View ProjectHR Analytics Dashboard
June 1, 2026 – Present
Built an interactive HR Analytics dashboard using 1,000+ employee records to analyze employee attrition and workforce trends. Developed 5 KPI cards and 6+ visualizations including bar, pie, donut, column, and area charts for HR insights. Analyzed attrition trends across age groups, gender, and education fields to support data-driven decision-making.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data analysis techniques across different domains (HR, retail, electrical engineering). The virtual internship with Tata Group indicates an interest in corporate environments and a willingness to gain practical experience. The breadth of tools and technologies used suggests adaptability and a continuous learning mindset, which are positive indicators for cultural fit in a dynamic analytical team.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, time management, attention to detail, collaboration, and communication as soft skills. These are crucial for a Data Analyst role, suggesting a good operational fit. However, these are self-declared and not validated by assessments.