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Data Analyst with 1+ years in Data Analysis, BI, and Operations Analytics.
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Assessing your cultural and operational fit
Data Analyst with 1.5+ years at Amazon delivering large-scale data analysis, KPI dashboards, and actionable business insights in high-volume, SLA-driven environments. Proficient in SQL, Python, Tableau, Power BI, and Advanced Excel with hands-on experience in end-to-end BI development, deep-dive analysis, root cause analysis, and operational reporting. Proven 98%+ accuracy record across data quality and validation workflows. Driven to transform raw data into clear decisions for business and product stakeholders.
Raghu Engineering College
B.Tech · Electronics & Communication Engineering
N/A – June 30, 2023
Awign Technologies
Business Analyst (FTC) - Reporting & Operational Analytics
February 1, 2026 – Present
Bengaluru, Karnataka, India
Amazon Development Centre (India) Pvt. Ltd.
Machine Learning Data Associate Data Analytics & BI
October 1, 2024 – February 1, 2026
Bengaluru, Karnataka, India
E-Commerce Customer Churn Prediction & Retention Analytics
June 18, 2026 – Present
Built an end-to-end churn prediction pipeline on 500K+ customer transaction records engineered 25+ behavioral features (purchase frequency, return rate, session depth, recency) using SQL and Python (Pandas, NumPy). Trained and compared Logistic Regression, Random Forest, and XGBoost models; final model achieved 87% accuracy and 0.91 AUC-ROC identifying high-risk customer segments 30 days before churn. Developed a Tableau dashboard visualizing churn probability scores, cohort retention curves, and revenue-at-risk by segment enabling the marketing team to target retention campaigns with 3x better conversion than blanket outreach. Quantified business impact: model-driven interventions projected to reduce monthly churn by ~18% and recover an estimated 12L/month in at-risk revenue across top customer segments.
Operational Anomaly Detection & SLA Breach Forecasting System
June 18, 2026 – Present
Designed a real-time anomaly detection system on 1M+ daily operational event records using Z-score outlier detection and Facebook Prophet time-series forecasting to predict SLA breaches 24-48 hours in advance. Built automated SQL pipelines to ingest, clean, and transform raw event logs into structured time-series features; integrated threshold-based alerting to notify operations leads before breaches occurred - reducing SLA violations by ~22%. Created an interactive Power BI operations command center with drill-down views by team, process, and time window replacing 6 manual weekly reports with a single self-serve dashboard saving ~8 hours/week of analyst time.
Data Science Foundations
Unknown
June 1, 2026 – Present
Six Sigma Yellow Belt
Unknown
June 1, 2026 – Present
AWS & BigQuery Fundamentals
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including e-commerce churn prediction and operational anomaly detection, shows a broad interest in applying data analytics to different business problems. Their experience at Amazon and Awign Technologies, coupled with personal projects, indicates a proactive and results-oriented approach. The certifications in Six Sigma and Data Science Foundations suggest a commitment to continuous learning and process improvement, which aligns with a culture valuing growth and efficiency. The target role of Data Analyst is well-aligned with their professional experience and project work.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, evidenced by their ability to conduct deep-dive analysis, root cause analysis, and develop predictive models. Their experience in collaborating with cross-functional teams and presenting findings to senior stakeholders indicates good communication and teamwork abilities. The focus on improving operational efficiency and reducing SLA violations aligns well with an operational analytics role.