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Data Analyst with less than a year in Data Cleaning & Visualization
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical Data Analyst with strong skills in data cleaning and visualization. Proficient in Python, SQL, Excel, and BI tools with a solid foundation in data modeling and machine learning concepts. Adept at transforming raw data into actionable insights to support business decision-making. Eager to contribute to data-driven projects and grow within a dynamic organization.
Loknete Gopinathji Munde Institute of Engineering Education & Research
Bachelor of Computer Engineering · Computer Engineering
August 1, 2021 – June 30, 2025
Deloitte
Data Analyst Virtual Internship
June 1, 2025 – Present
India
TATA
Data Analyst Virtual Internship
June 1, 2025 – Present
India
Retail Sales Analysis using Python, SQL & Excel
June 1, 2026 – Present
• Developed an end-to-end data analysis solution to evaluate sales performance across products and regions. • Performed data cleaning and transformation using Python (Pandas, NumPy) to improve data accuracy and consistency. • Designed and optimized SQL queries using SELECT, JOIN, and GROUP BY to aggregate and analyze business data. • Created structured Excel dashboards using Pivot Tables and lookup functions to visualize key KPIs. • Delivered actionable, data-driven insights to improve reporting clarity and support business decision-making.
View ProjectMobile Sales Analysis Dashboard (Power BI)
June 1, 2026 – Present
• Developed an interactive Power BI dashboard to analyze mobile sales performance across brands, regions, and time periods. • Performed data cleaning and transformation using Power Query to ensure data accuracy and consistency. • Created DAX measures to calculate KPIs such as Total Sales, Quantity Sold, and Average Sales. • Visualized brand-wise, region-wise, and monthly sales trends using dynamic charts and slicers. • Delivered actionable insights to support business decision-making and sales strategy optimization.
View ProjectData Analysis With Python
Unknown
June 1, 2026 – Present
Code Without Barriers By Microsoft
Microsoft
June 1, 2026 – Present
Natural Language Processing using Python
Unknown
June 1, 2026 – Present
Power BI
Unknown
June 1, 2026 – Present
Social Network By NPTEL
NPTEL
June 1, 2026 – Present
Business Analytics With Excel
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internships demonstrate a clear alignment with a Data Analyst role, focusing on practical application of data analysis tools and techniques. The diversity of tools used (Python, SQL, Excel, Power BI, Tableau) and the nature of projects (retail sales, mobile sales) indicate a broad interest in data analysis applications. The virtual internships with Deloitte and TATA suggest an eagerness to learn and adapt to different organizational contexts. However, the experience level is entry-level, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to deliver actionable insights and support business decision-making, indicating a results-oriented approach. The virtual internships suggest a proactive attitude towards skill development and practical application. However, without direct interview data, it's difficult to fully assess collaboration, stress handling, or problem-solving in a team environment.