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Data Analyst with 1+ years in Business Intelligence & Reporting Automation
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 Analyst with experience in designing end-to-end reporting systems, automating data workflows, and improving data quality within enterprise environments. Proven ability to transform manual Excel-based processes into scalable Power BI solutions, enabling real-time decision-making and operational visibility. Strong expertise in SQL, Python, data modeling, and DAX with a focus on business intelligence, KPI-driven analytics, and reporting automation.
UPES
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
AAFT
B.Sc. Animation & VFX
August 1, 2020 – June 30, 2023
Ferfier Technologies Pvt. Ltd.
QA Analyst (Data & Reporting) - L4
March 1, 2026 – Present
Noida, Uttar Pradesh, India
Keywords Studios
Research Associate (Data Analytics – Amazon AI Project)
May 1, 2025 – March 1, 2026
Noida, Uttar Pradesh, India
E-commerce Business Intelligence & Customer Analytics System
June 16, 2026 – Present
Built an end-to-end analytics solution on 100K+ transactional records using SQL, Python, and Power BI. Designed relational data models and developed KPI dashboards for revenue, customer behavior, and regional performance. Implemented RFM segmentation to identify high-value and churn-risk customers. Analyzed delivery performance impact on customer retention, identifying key drivers of customer satisfaction. Generated actionable insights to optimize customer targeting and improve revenue growth strategies.
Cultural Fit Analysis
The candidate's project diversity, ranging from e-commerce analytics to AI data operations, shows adaptability and a broad interest in data-related challenges. Their current role as a QA Analyst (Data & Reporting) and previous role as a Research Associate (Data Analytics) align well with a Data Analyst target role, indicating a clear career trajectory. The breadth of skills across BI tools, programming, and data concepts suggests a proactive learning approach.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through root cause analysis of data quality issues and process automation. Their experience in collaborating with cross-functional teams and supporting enterprise clients indicates good teamwork and client management capabilities. The focus on improving efficiency and accuracy aligns well with operational excellence.