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Data Analyst with 1+ years in Advanced Excel, Power BI & Data Cleaning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Flexible and motivated Data Analyst with practical knowledge in Advanced Excel, Power BI, data cleaning, visualization, and reporting. Adept at transforming raw data into actionable insights, validating large datasets, and presenting clear dashboards that support informed business decisions. A quick learner with a strong willingness to adapt, improve, and take ownership of tasks. Ready to contribute to any data-driven team with a focus on accuracy, collaboration, and continuous learning.
Knowledge Institute of Technology (Autonomous), Salem
Master of Business Administration · Business Analytics & Marketing
August 1, 2022 – June 30, 2024
Sri Sarada College for Women (Autonomous), Salem
Bachelor of Arts · Economics
August 1, 2018 – June 30, 2021
Aggregate Intelligence
Junior Research Analyst
August 1, 2024 – June 1, 2025
Coimbatore, Tamil Nadu, India
Aggregate Intelligence
Internship
March 1, 2024 – July 1, 2024
Coimbatore, Tamil Nadu, India
Sambandam Spinning Mill
Internship
July 1, 2023 – July 31, 2023
Salem, Tamil Nadu, India
Cultural Fit Analysis
The candidate's academic background in Business Analytics & Marketing, coupled with internships in data collection and analysis, indicates a clear interest and alignment with data-centric roles. The stated focus on accuracy, collaboration, and continuous learning aligns well with a typical data analyst team culture. The diversity of internship companies (Aggregate Intelligence, Sambandam Spinning Mill) suggests adaptability to different organizational contexts. However, the limited project experience and specific skill depth in advanced analytics tools beyond Excel and Power BI might require further development to fully integrate into a senior analytical role.
Soft Skills & Operational Fit
The candidate's executive summary highlights strong soft skills such as being flexible, motivated, a quick learner, and possessing a willingness to adapt, improve, and take ownership. These traits suggest a good operational fit for a data-driven team focused on accuracy, collaboration, and continuous learning. The internship experiences, though brief, show an ability to assist teams, organize data, and support administrative efficiency, indicating a foundational understanding of workplace operations.