Data Analyst with 1+ years in Data Analytics & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a fresher/junior data analyst with detail-oriented and analytical Computer Science graduate seeking a challenging entry-level position in Data Analytics or Business Intelligence. Passionate about transforming data into actionable insights and eager to contribute to data-driven decision-making in a dynamic organization.
Knowledge Institute of Technology, Salem
B.E. CSE · Computer Science Engineering
August 1, 2021 – June 30, 2025
Kamarajar Educational Institutions, Namakkal
HSC
N/A – May 31, 2021
Kamarajar Educational Institutions, Namakkal
SSLC
N/A – May 31, 2019
NexLima Solutions
Freelance Data Analyst Trainer
June 1, 2025 – June 1, 2026
India
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DMart Sales Data Analysis
June 1, 2025 – June 1, 2026
Analysed DMart's sales performance using Power BI for data visualization and insights. Technologies used include Power BI, Excel, and DAX for data modeling and dashboard creation. Analyzed large-scale retail sales data to identify trends and KPIs. Developed interactive dashboards using Power BI. Delivered actionable insights to improve sales strategy.
Cultural Fit Analysis
The candidate's academic projects and freelance trainer experience indicate a strong interest and foundational skill set in data analytics. The participation in extracurricular activities and securing prizes suggests a proactive and goal-oriented individual. The role as a freelance trainer also implies a collaborative and communicative approach, which could contribute positively to team environments. However, as an entry-level candidate, exposure to diverse corporate cultures and team dynamics is limited.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, and effective communication as soft skills. The freelance trainer role suggests an ability to communicate technical concepts. The academic projects demonstrate an analytical approach to problem-solving. However, without specific assessment data, the depth of these skills in a professional operational context is difficult to fully ascertain.