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Data Analyst with 1+ years in SQL, Power BI & Python, specializing in E-commerce & Fintech 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 Analyst with 1.7years of hands-on experience in SQL, Power BI, Excel, and Python. Built automated reporting pipelines and KPI dashboards for fintech and e-commerce clients, reducing manual reporting time and improving operational visibility. Strong background in root cause analysis, Funnel analysis, and cohort analysis focused on turning raw transactional data into clear, business-ready findings.
Sree Vidyanikethan Engineering College
Btech · Computer Science and Business systems
August 13, 2020 – August 13, 2024
LTIMindtree (now LTM)
Data Reporting Analyst
December 17, 2024 – Present
Bengaluru, Karnataka, India
E-Commerce Customer Retention & Revenue Optimization Analytics Platform | SQL, Python, Power BI
June 10, 2025 – Present
Examined 100K+ customer transactions across multiple product categories to identify purchasing patterns, retention trends, and revenue opportunities. • Performed RFM Segmentation and Cohort Retention Analysis to identify high-value customers, churn-risk segments, and repeat purchase behavior over time. • Wrote complex SQL queries−window functions for cohort tracking, CTEs for CLV calculations, and multi-table joins for cross-category analysis. • Developed interactive Power BI dashboards tracking retention, revenue, customer segments, and conversion funnel metrics, generating actionable insights for customer retention and revenue optimization.
Google Data Analytics Professional Certificate
Coursera
June 13, 2024 – Present
Cultural Fit Analysis
The candidate's projects show a focus on practical, business-oriented analytics (e-commerce customer retention, marketing campaign performance), which aligns well with a results-driven culture. Their experience with diverse data sources (Meta Ads, TikTok, Snapchat) and client-facing reporting (e-commerce clients) indicates adaptability and a broad understanding of business contexts. The continuous learning demonstrated by the Google Data Analytics Professional Certificate suggests a proactive approach to skill development.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their work on identifying customer behavior trends, investigating KPI anomalies, and resolving data quality issues. Their project descriptions indicate an ability to translate raw data into business-ready findings, which is crucial for operational fit in a data analyst role. The automation of reporting workflows suggests an efficiency-oriented mindset.