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Data Analyst with less than a year in statistical analysis and data 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
Aspiring Data Analyst with hands-on experience in statistical analysis, data visualization, and business intelligence. Proficient in SQL, Excel, Power BI, Python, R, MongoDB, and Tableau. Passionate about transforming raw data into actionable insights to drive data-driven decision-making.
G-TEC Centre of Excellence, Perinthalmanna
Professional Certification · Data Visualization & Analysis
N/A – Present
University of Calicut
Bachelor of Commerce · Commerce
N/A – Present
Inditronics Pvt Ltd
Data Analyst Intern
January 1, 2026 – June 1, 2026
Pune, Maharashtra, India
Smartphone Addiction Analysis
June 24, 2026 – Present
Conducted Exploratory Data Analysis (EDA) on a dataset of teenagers' smartphone usage to identify patterns affecting academic performance and well-being. Performed data cleaning, handled missing/duplicate values, and categorized addiction levels (Low, Moderate, High) using custom logic. Generated insights on usage patterns by purpose, gender, and age group, highlighting high-risk students with excessive usage, poor sleep, and low academic scores. Built pivot tables and visualizations to summarize daily usage, sleep hours, and performance by demographics.
Sales Performance Dashboard
June 24, 2026 – Present
Designed and developed an interactive Sales Dashboard in Power BI to monitor total sales, budget, product performance, and city-wise sales distribution. Utilized DAX measures and data modeling to calculate KPIs including Total Sales (22.21M), Budget Achievement, and sales contribution by product category and gender. Created bar charts, donut charts, and filters for detailed drill-down analysis on product and city-level performance. Enabled stakeholders to identify top-performing products (Road-250 Red, Mountain-200 Black) and high-revenue cities (London, Paris).
Cultural Fit Analysis
The candidate's projects demonstrate an interest in both business intelligence (Sales Performance Dashboard) and social impact analysis (Smartphone Addiction Analysis), indicating a diverse analytical curiosity. The internship experience, though short, shows an ability to work within a team structure. The listed skills align well with a Data Analyst role, suggesting a good fit for data-driven environments. However, the limited professional experience means there's less evidence of adapting to diverse team cultures or navigating complex organizational dynamics.
Soft Skills & Operational Fit
The candidate lists communication, problem-solving, and team collaboration as soft skills. Project descriptions indicate an ability to work with stakeholders and present findings, suggesting a foundational level of communication. The internship involved partnering with an analytics team, which implies some level of team collaboration. Problem-solving is evident in data cleaning and custom logic development for addiction levels. However, the depth of these soft skills in complex operational scenarios is not explicitly detailed.