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Data with less than a year in Data Analysis and 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
Constantly seeking to engage my knowledge to learn something useful and keep challenging myself to be a better performer in accordance to the company's requirements. Good and quick learner, team player, love to learn new things, flexible with different technologies.
Trident Academy of Technology
B.Tech · Computer Science & Technology
August 1, 2021 – June 30, 2025
Tetrahedron Higher Secondary School
XII · Science
June 1, 2019 – May 31, 2021
Rubixe
Data Analyst Intern
July 1, 2025 – January 31, 2026
India
Cognifyz Technologies
Data Analysis
August 1, 2023 – September 30, 2023
India
Customer Data Analysis
June 1, 2026 – Present
Analyzed customer demographic and transactional data to understand customer behavior. Performed data cleaning and preprocessing to handle missing and inconsistent values. Segmented customers based on purchase patterns, age, and spending behavior. Created visual dashboards to identify high-value customers and retention trends. Generated insights to support customer engagement and marketing strategies.
IMDB Movies
June 1, 2026 – Present
Analyzed IMDB movie dataset using SQL to extract insights on movies, directors, ratings, popularity, and revenue. Performed data analysis using SQL concepts such as JOIN, GROUP BY, ORDER BY, aggregate functions, filtering, and pattern matching. Identified top-performing movies and directors based on popularity, revenue, and average ratings. Built queries to analyze director performance, movie trends, and gender distribution in the dataset. Retrieved business insights such as most bankable director, highest-rated movies after 2000, and top popular movies. Worked with relational database tables (Movies & Directors) using primary and foreign key relationships.
Automobile Insurance
June 1, 2026 – Present
Performed data cleaning and aggregation using SQL to prepare insurance complaint and premium data. Developed an interactive Power BI dashboard to analyze complaint trends, premium behavior, and company performance. Calculated and analyzed key metrics such as Total Complaints, Complaint Ratio, and Premium Trends. Identified performance patterns and delivered actionable business insights through data visualization.
Certified Data Analyst
Datamites
June 1, 2026 – Present
Certified Data Analyst
IABAC
June 1, 2026 – Present
Data Analysis with Python
IBM & Cognitive Class
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of application in data analysis across different domains (customer behavior, insurance, movies). The stated interest in learning and being a team player aligns with a collaborative culture. However, the lack of professional experience beyond internships limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's professional summary highlights a desire to learn, be a team player, and adapt to new technologies, suggesting a positive operational fit. However, without specific examples from work experience, the depth of these soft skills cannot be fully assessed.