Data Analyst with 1+ years in Data Visualization & Power BI
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Assessing your cultural and operational fit
Electronics & Telecommunication Engineering student with a strong technical foundation, currently exploring Data Science. Proficient in Python, Java, and problem-solving, with a keen interest in applying data analysis and machine learning techniques in IT roles. Demonstrated ability to work on real-world data analytics tasks, build KPI dashboards, and implement data structures and algorithms.
Government College of Engineering, Yavatmal
B.Tech · Electronics & Telecommunication Engineering
August 1, 2022 – June 30, 2026
Technest
Data Analytics Intern
June 4, 2025 – July 2, 2025
India
Internshala Training
DSA Intern
August 1, 2023 – October 31, 2023
India
Super Store Sales Dashboard
June 23, 2026 – Present
Designed and developed an interactive Power BI dashboard to analyze Super Store sales data. Key features: Sales & Profit Mapping, YoY trends, Category and Segment Analysis, and KPI tracking.
Shopify Sales & Customer Funnel Report
June 23, 2026 – Present
Built a dynamic Power BI dashboard to analyze Shopify sales performance, customer trends, and key KPIs like lifetime value, repeat rate, and purchase frequency. Visualized insights on geographic distribution, payment gateways, and product categories to support strategic business decisions.
Data Science
Cisco Networking Academy
February 1, 2025 – Present
Python for Data Science
IBM
January 1, 2025 – Present
Embedded Certification
EFY Training Institute
November 1, 2023 – Present
Data Structures and Algorithms in C
Internshala Training
October 1, 2023 – Present
Cultural Fit Analysis
The candidate's profile shows a strong interest in Data Science, aligning with the target role. Participation in workshops and internships, along with self-guided projects, indicates a proactive learning attitude. However, the experience is primarily academic and entry-level, which might require a supportive environment for growth. The diversity of projects is limited to Power BI dashboards, and the breadth of skills, while foundational, needs further development for a senior Data Analyst role.
Soft Skills & Operational Fit
The candidate demonstrates initiative through self-guided projects and certifications. The project descriptions are clear, indicating an ability to communicate technical work. The internship experience, though brief, shows exposure to real-world data analytics tasks. However, the limited professional experience and early stage in education suggest a need for significant guidance and development in a senior role.