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Data with less than a year in Python, SQL & Power BI.
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 practical experience in Python, SQL, Excel, Power BI, Pandas, and NumPy. Built data analysis projects focused on data cleaning, SQL querying, and interactive dashboard creation in Power BI to uncover business insights and support informed decision-making.
CMR INSTITUTE OF TECHNOLOGY
B.Tech · Civil
N/A – Present
Movie Ratings Analysis
June 19, 2026 – Present
Objective: Analyze movie industry data to recommend strategies for a production company expanding to a global audience. Designed SQL queries to analyze movie trends and audience preferences. Used joins, CTEs, window functions, CASE statements, and aggregations to answer business questions. Performed data cleaning, database creation, and data loading from raw datasets. Generated insights to support movie production decisions.
Home Loan Analysis
June 19, 2026 – Present
Objective: Analyse bank loan data to identify profitable customer segments and business opportunities. Cleaned and transformed Excel-based loan data using Power Query and data modelling. Created calculated columns, measures, and relationships to analyse loan performance metrics. Designed interactive dashboards using Funnel, Key Influencers, and Bar Charts.
Store Sales Analysis
June 19, 2026 – Present
Objective: Analysed store data across nationwide branches to identify profit-making and loss-making product sub-categories. Cleaned and standardized raw data using formatting, date and currency standardization, freeze panes, and data organization techniques to improve readability and usability. Applied conditional formatting to analyse sales performance and identify top-performing products by region and province. Built pivot tables and interactive charts to analyse profit and loss trends across product sub-categories and support business insights. Highlighted profit and loss patterns using colour-scale formatting for quick performance interpretation.
Cultural Fit Analysis
The candidate's projects are diverse within the data analysis domain (movie ratings, home loans, store sales), showing a breadth of application. The stated interests (Trekking, Yoga, Learning about Indian culture) suggest a well-rounded individual. However, with no professional experience, cultural fit is primarily inferred from project diversity and self-learning initiatives, which align with a growth-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an objective-driven approach to data analysis. The personal projects suggest self-motivation and a proactive learning attitude. However, without direct work experience, it's difficult to assess operational fit, teamwork, or stress handling capabilities.