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Data with less than a year in data visualization & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-level Data Analyst with hands-on training in SQL, Python, Microsoft Excel, and Power BI. Skilled in data cleaning, transformation, exploratory data analysis (EDA), statistical analysis, and interactive dashboard development. Experienced in converting raw data into actionable business insights through data visualization and reporting. Strong analytical, problem-solving, and communication skills with a commitment to supporting data-driven decision-making in fast-paced business environments.
Nehru Arts and Science College
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2025
Government Higher Secondary School
Higher Secondary (12th Standard)
N/A – May 31, 2022
Government Higher Secondary School
Secondary School (10th Standard)
N/A – May 31, 2020
Asquare Technologies
Data Analytics Trainee
June 1, 2025 – November 1, 2025
Cochin, Kerala, India
Airline Flights Analysis (2008–2013)
January 1, 2008 – December 31, 2013
Designed and developed an interactive Power BI dashboard to analyze airline flight trends using historical data from 2008-2013. Performed data extraction, cleaning, transformation, and validation using SQL and Python. Conducted exploratory data analysis to identify operational trends and support data-driven insights.
Fundamentals of Data Analytics
L&T EduTech
June 1, 2026 – Present
Programming in Data Analytics
L&T EduTech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a clear focus on data analytics through education, an internship, and a personal project. The skills acquired (SQL, Python, Power BI) are directly relevant to a 'Data' target role. The project diversity is limited to one personal project, and the experience is entry-level, which might limit the breadth of exposure to different team dynamics or business contexts. The certifications further reinforce commitment to the data field.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, communication, presentation, and problem-solving skills. The project and internship descriptions indicate an ability to work with data to support decision-making, which aligns with operational needs in a data role. However, the entry-level experience means these soft skills are largely untested in a senior professional setting.