Data Analyst with less than a year in Predictive Analytics & Marketing
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MBA Candidate specializing in Business Analytics and Marketing, supported by a foundational degree in Finance. Adept at translating complex datasets into structured, strategic insights. Proven academic and internship exposure to predictive modeling, competitive benchmarking, and process optimization. Passionate about leveraging data-driven hypothesis testing to solve multifaceted business challenges and drive operational efficiency.
Vignanasudha Degree College
Bachelor of Business Administration (BBA) · Finance
N/A – June 30, 2024
Chandigarh University
Master of Business Administration (MBA) · Business Analytics & Marketing
N/A – June 30, 2026
Young Minds
Data Analyst Intern
March 1, 2023 – May 1, 2023
India
Predictive Analytics for Digital Customer Retention
January 1, 2026 – June 1, 2026
• Investigated digital consumer behavior by applying predictive machine learning models to datasets to identify the primary drivers of customer churn. • Translated complex algorithmic outputs into actionable business strategies, designing a data-driven framework to optimize digital customer lifecycle management. • Synthesized the methodology and strategic findings into a comprehensive academic report, which was selected and published as a book chapter.
Market Entry Strategy: Retail Tech Sector
January 1, 2024 – June 1, 2024
• Conducted competitive benchmarking and market sizing exercises using public industry datasets to evaluate a theoretical regional expansion. • Applied standard business frameworks (Porter's Five Forces, SWOT) to assess market viability, consumer behavior, and pricing dynamics. • Synthesized strategic insights into a comprehensive PowerPoint deck, outlining go-to-market steps and risk mitigation plans for faculty review.
Career Essentials in Business Analysis
Microsoft & LinkedIn
January 1, 2025 – Present
Business Intelligence Foundations
IBM
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a proactive approach to learning and applying business analytics. The diversity in project types (predictive analytics, market entry strategy) and certifications indicates a broad interest in business intelligence and analysis, suggesting adaptability and a continuous learning mindset. The internship experience, though short, shows practical application of skills.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through academic projects and internship experience. Their ability to synthesize complex information into actionable insights and presentations suggests good communication and strategic thinking. The focus on data-driven decision-making aligns well with operational roles requiring analytical rigor.