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Data driven cloud analyst with 2+ years in cloud cost optimization and data analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data-driven cloud analyst with 2.5 years of experience optimizing enterprise cloud environments, expert at transforming complex billing and usage data into actionable business insights. Proven track record of automating reporting workflows, reducing manual effort, and skilled in analysing cloud usage and billing data to identify trends, uncover cost optimization opportunities. Proven ability to resolve enterprise customer issues through data-driven investigation while improving reporting efficiency and service quality.
Reva University
Bachelor of Technology
N/A – Present
Deloitte Australia (Forage)
Data Analytics Intern
June 1, 2026 – June 1, 2026
Unknown
Tata Group (Forage)
Cybersecurity Security Analyst - Virtual
June 1, 2026 – June 1, 2026
Unknown
LTM
Cloud Analyst
December 1, 2023 – June 1, 2026
Bengaluru, Karnataka, India
Customer Behavior Analytics Dashboard
June 1, 2026 – June 1, 2026
Engineered an end-to-end analytics pipeline (python/mysql/power bi) for 3.9k+ customer records; performed sql-driven segmentation, identifying key revenue drivers (clothing: 35%) and core demographics (young adults: 45%) and Power BI with KPI cards (3,900 customers, $59.76 avg purchase, 3.75 rating); SQL-based segmentation identified Clothing as 35% revenue contributor and Young Adults as 45% of sales.
Healthcare Patient Waiting List Dashboard
June 1, 2026 – June 1, 2026
Built an interactive power bi dashboard analyzing 700k+ patient records (2018-2021) with DAX measures; leveraged dax to track 10.8% yoy growth and enable specialty-level drill-down for operational reporting. Designed KPI comparison framework for 10.8% YoY variance analysis" (healthcare dashboard = A/B thinking)
Amazon Prime Video Content Analytics Dashboard
June 1, 2026 – June 1, 2026
Analyzed 9,655 titles from Kaggle (1920-2021) using Power BI; key insights: 80% Movies vs 20% TV Shows, Drama as dominant genre, post-2000 content surge, USA/India as top producers. Performed exploratory data analysis on 9.6k+ titles using power bi; identified content distribution trends (80% movies) and market dominance by genre and geography, visualizing a post-2000 content surge.
Python for Beginners
Microsoft
June 1, 2026 – Present
Fundamentals of Linux OS
Unknown
June 1, 2026 – Present
Introduction to MS Excel
Simplilearn
June 1, 2026 – Present
Introduction to Artificial Intelligence
Microsoft
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer behavior to healthcare and media content analysis, indicates adaptability and a broad interest in applying data skills across different domains. The experience as a Cloud Analyst aligns well with the target role of Cloud & Data Engineer, showing direct relevance. The internships, though virtual, demonstrate initiative in gaining exposure to industry practices. The certifications in Linux, Python, AI, and Excel show a commitment to continuous learning and skill development, which is a positive cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving skills through identifying cost optimization opportunities and resolving critical customer scenarios. Their experience in partnering with cross-functional stakeholders indicates good collaboration and communication for translating requirements into technical solutions. The project descriptions are clear and quantify impact, suggesting good communication skills.