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Data Analyst with 3+ years in SQL, Python, and Power BI
Results-driven Data Analyst and Business Intelligence Analyst with 3+ years of embedded analytics experience across retail and sales operations, formalized through a Data Analyst Internship at Rubixe Al Solutions. Delivered end-to-end analytics projects spanning Healthcare SQL Analytics, Retail Business Intelligence, and ML-powered Customer Segmentation. Proficient in SQL (MySQL), Python (Pandas, NumPy, Scikit-learn), Power BI, Advanced Excel, and DAX — applied to exploratory data analysis (EDA), KPI dashboard development, data cleaning, predictive modeling, A/B testing frameworks, and decision-support reporting. Proven ability to translate raw operational data into measurable business outcomes: 35% sales conversion improvement (Bata India) and 40% regional revenue growth (OPPO) through data-driven interventions across 75+ locations and 400+ personnel. IABAC Certified Data Analyst targeting Data Analyst, Business Intelligence Analyst, and Business Analyst roles at global MNCs and high-growth technology companies.
Bharathidasan University, Trichirapalli
Master of Business Administration (MBA) · Human Resource Management
August 1, 2024 – June 30, 2026
St. Joseph's College of Arts & Science, Cuddalore
Bachelor of Science · Computer Science
August 1, 2020 – June 30, 2023
Rubixe AI Solutions
Data Analyst Intern
November 1, 2025 – May 1, 2026
India
Bata India Limited
Regional Sales Trainer
March 1, 2025 – May 1, 2026
Chennai, Tamil Nadu, India
Raptor Technologies India
Product Trainer
November 1, 2024 – February 1, 2025
Chennai, Tamil Nadu, India
OPPO
Sales Trainer
December 1, 2023 – November 1, 2024
Puducherry, Puducherry, India
Systems Plus Transformations
Software Trainee
June 1, 2023 – August 1, 2023
Pune, Maharashtra, India
ML-Powered Customer Segmentation Analysis
June 1, 2026 – Present
Processed and cleaned a 3,900-record U.S. retail dataset using Python (Pandas, NumPy); conducted EDA and feature engineering before applying K-Means Clustering with PCA dimensionality reduction to derive four actionable customer segments — enabling precision marketing campaigns and measurable uplift in campaign ROI. Delivered data visualization outputs and a business-ready segmentation report translating ML outputs into strategic recommendations for marketing and product teams; documented full methodology on GitHub for portfolio presentation.
View ProjectRetail Business Intelligence Dashboard
June 1, 2026 – Present
Designed an interactive Power BI dashboard analyzing 1,000+ retail transactions across 10 mall locations, incorporating KPI cards, drill-through filters, Pareto revenue analysis (80/20), and demographic segmentation to surface inventory optimization and payment strategy insights. Automated report generation workflows using SQL data pipelines and Excel models, reducing manual reporting effort by 40% and improving data accuracy for stakeholder decision-making; applied DAX measures for dynamic KPI calculations.
View ProjectHealthcare SQL Analytics
June 1, 2026 – Present
Engineered 34 SQL business analysis scenarios on a normalized relational healthcare database using advanced JOINs, correlated subqueries, aggregate window functions (ROW_NUMBER, RANK, LAG/LEAD), and CASE logic — producing decision-support reports for hospital operations management and clinical data stakeholders. Designed and documented reusable SQL query templates addressing patient readmission analysis, physician workload distribution, and provincial healthcare utilization — translating structured data into actionable operational intelligence.
IABAC Certified Data Analyst
International Association of Business Analytics Certifications
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
January 1, 2024 – Present
Train the Trainer Certification (2024)
TTC
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse experience across retail, sales, and a data analyst internship, coupled with certifications, suggests adaptability and a proactive approach to skill development. Their background in training roles indicates a collaborative mindset and an ability to communicate complex information, which aligns well with a data-driven culture that values knowledge sharing and impact.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills in stakeholder management, cross-functional collaboration, and executive presentation, as evidenced by their experience in training and reporting roles. Their ability to conduct root cause analysis, develop SOPs, and design assessment frameworks indicates a good operational fit for roles requiring process improvement and data-backed decision-making.