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Lead Data Analytics with less than a year in BI & AI/ML solutions.
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BI & Data Analytics Professional with 6+ years of SQL experience, specializing in Tableau/Power BI reporting, data quality controls, and scalable analytics pipelines within regulated, data-intensive environments. Proven track record in maintaining data integrity and translating complex transactional insights into audit-ready stakeholder dashboards and actionable business recommendations.
Gautam Buddha University
Integrated B.Tech (CSE) + M.Tech (DS)
August 1, 2021 – June 30, 2026
IIT Madras
B.Sc. · Data Science & Applications
August 1, 2021 – June 30, 2025
Astrea IT Services Pvt. Ltd.
Data Analytics & Governance Trainee
June 1, 2025 – July 1, 2025
India
IIT Kanpur
Research Intern (Project Sarvshixiit)
May 1, 2025 – July 1, 2025
India
IIT Kanpur
Summer Trainee (AI & Machine Learning)
May 1, 2024 – August 1, 2024
India
Review on translating AI for neonatal sepsis
June 1, 2026 – Present
Presented Paper: Focus on deployment barriers and governance/privacy solutions in clinical environments.
Retail Sales & Inventory Optimization
June 1, 2026 – Present
Built SQL-driven analytical views and Tableau/Power BI dashboards over 162,544 transactions (9.5M revenue), enabling KPI tracking and improving inventory-driven profit margins by 10%. Applied Pareto (80/20) and ABC analysis to translate transactional data into actionable business recommendations for stakeholders.
Neonatal Sepsis Prediction (Healthcare Analytics)
June 1, 2026 – Present
Analysed clinical time-series for 8,059 neonates, extracts and labeling 2,957 sepsis cases with strict data integrity protocols. Employed systematic data validation to resolve class imbalance, ensuring high-accuracy predictive reporting.
IBM Python for Data Science
IBM
June 1, 2026 – Present
Diploma in Data Science
IIT Madras
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from academic research in AI for healthcare to personal projects in retail sales optimization, indicates a broad interest and adaptability. The target role 'Lead - Data Analytics' aligns well with the candidate's demonstrated skills in SQL, BI tools, data quality, and governance. The candidate's academic background and certifications further support a strong foundation for a data-centric role.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work on diverse projects, including academic research and practical business applications. The focus on data integrity, governance, and audit-ready reporting suggests an understanding of operational best practices in data analytics. The candidate's academic achievements and participation in research internships indicate a proactive and learning-oriented attitude.