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Data Analyst with less than a year in SQL, Python, and Tableau with strong data visualization skills
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst proficient in SQL, Excel, Python, and Tableau, with a strong foundation in data analysis, data visualization, dashboard creation, reporting, and insight generation.
Great Lakes Institute of Management
Data Analyst Certification
August 1, 2024 – June 30, 2024
Gopalan Pre University College
Pre-University Course
N/A – May 31, 2019
East Point College of Engineering and Technology
Bachelor of Engineering
N/A – June 30, 2023
S M English School
Secondary School
N/A – May 31, 2017
Car Insurance Claims Analysis
June 1, 2026 – Present
Analyzed insurance claims data to identify patterns and trends influencing claim behavior. Designed a clear data storytelling approach using clean, consistent visualizations and interactive elements. Created an interactive storyboard and summary dashboard, delivering actionable recommendations to improve the insurance claims system.
HBFC Bank - Personal Loan Customer Analysis
June 1, 2026 – Present
Performed preliminary data analysis and visualization to understand the demographic and financial profile of customers holding savings accounts and availing personal loans. Developed a detailed customer profile using statistical analysis and visualizations to support business insights.
Exploratory Data Analysis & Data Preprocessing - Google Play Store Apps
June 1, 2026 – Present
Conducted exploratory data analysis (EDA) on the Google Play Store app dataset to uncover insights and prepare data for future predictive analytics. Utilized Python visualization libraries to analyze trends, distributions, and relationships within the data. Cleaned and preprocessed the dataset by handling missing values and outliers.
Data Analytics
mygreatlearning.com
June 1, 2026 – Present
Data Analytics Internship
nullclass.com
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project diversity indicate a foundational interest and capability in data analysis. The projects cover different domains (app store, banking, insurance claims), suggesting adaptability. The pursuit of a Data Analyst Certification and an internship indicates a proactive approach to skill development and career alignment with the target role. However, the lack of professional experience limits the assessment of cultural fit in a team or organizational setting.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, and attention to detail as soft skills. These are crucial for a Data Analyst role. The academic projects demonstrate an ability to apply these skills in practical scenarios, such as identifying trends and delivering actionable recommendations. However, without professional experience, the operational fit in a corporate environment is yet to be fully validated.