Data Analyst with less than a year in Reporting, Dashboarding & Business Insights.
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Assessing your cultural and operational fit
Results-driven Data Analyst with 6+ months of professional experience delivering data-driven reporting, dashboard development, and business insights across customer, healthcare, and retail domains. Proficient in SQL, Python (Pandas), Power BI, Tableau, Excel, and ETL workflows. Skilled in data modelling, data cleaning, KPI reporting, and statistical analysis. Certified by Microsoft, Deloitte, and IABAC. Actively seeking a full-time Data Analyst role to deliver measurable business impact through data.
Dr. B.R. Ambedkar University
Bachelor of Science · Computer Science
August 1, 2015 – June 30, 2018
Rubixe Innovative AI Tech Solutions
Data Analyst
October 1, 2025 – April 1, 2026
Bengaluru, Karnataka, India
Purchase Pattern & Market Basket Analysis
February 1, 2026 – April 1, 2026
Implemented the Apriori Algorithm in Python to discover high-confidence product association rules, identifying cross-sell opportunities across 8 product categories. Evaluated 50+ association rules using support, confidence, and lift metrics; surfaced 3 high-value product bundles for targeted promotional campaigns. Processed and cleaned transactional data with Pandas and NumPy, then built Power BI reporting dashboards to present buying pattern analysis to business stakeholders.
Healthcare Patient Data Analytics
January 1, 2026 – February 1, 2026
Queried and analyzed 5,000+ patient records using SQL to surface demographic and treatment trends, supporting clinical data review and healthcare reporting. Cleaned and structured complex medical datasets in Excel using Power Query, resolving 15%+ data quality issues to ensure reliable downstream analysis. Developed Power BI reporting dashboards for real-time monitoring of key healthcare metrics, reducing manual chart review time for clinical teams.
View ProjectCustomer Segmentation & Revenue Analysis
October 1, 2025 – December 1, 2025
Analyzed 10,000+ customer records to uncover revenue trends across age, gender, and geography, enabling targeted marketing decisions and customer segmentation strategies. Wrote advanced SQL queries (JOINS, CTEs, Window Functions) to extract and aggregate multi-dimensional business insights from relational databases. Built interactive Power BI dashboards with DAX measures, slicers, and drill-throughs – improving KPI reporting speed and stakeholder visibility into key business metrics.
Data Analytics Certification
IABAC
June 1, 2026 – Present
SQL for Data Analytics
Unknown
June 1, 2026 – Present
Excel for Data Analytics
Unknown
June 1, 2026 – Present
Deloitte Data Analyst Virtual Experience
Deloitte
June 1, 2026 – Present
Microsoft Data Analyst Certification
Microsoft
June 1, 2026 – Present
Certified Data Analyst Program
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity across customer segmentation, healthcare, and retail, combined with a range of technical skills, indicates adaptability and a broad interest in applying data analytics to different business problems. The certifications from various organizations (Microsoft, Deloitte, IABAC) suggest a proactive learning attitude. This breadth of experience and continuous learning aligns well with a culture that values versatility and growth.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through cross-functional team engagement and presenting findings to non-technical stakeholders. Their project descriptions indicate a results-driven approach with a focus on improving efficiency and accuracy. The experience in automating reporting and reducing manual effort suggests an operational fit for roles requiring process optimization.