About
Data Analyst with 5+ years of experience using SQL, Power BI, Python, and Advanced Excel/VBA to build reporting and automation solutions for operations teams. Delivered two process automations that cut turnaround time by 75-80%, eliminating an estimated 1,000+ manual hours annually. Skilled at translating ambiguous business requirements into validated, production-ready dashboards and tools, with hands-on experience applying LLM/RAG techniques to analytics.
Skills & Expertise (38)
Work Experience
Data Analyst
Einsteins Square
Nov 2021 - Jul 2026
Built a payout automation tool that cut processing time from ~5 hours to 1 hour (80% reduction) per cycle, removing an estimated 800+ manual hours per year while improving accuracy and audit control. Automated a daily reporting workflow using VBA and Excel, reducing turnaround from ~1 hour to 15 minutes (a 4x speed-up) and freeing up recurring analyst time for higher-value analysis. Designed and maintained 6+ Power BI dashboards tracking class, teacher, product, and lot-level KPIs, used by operations leadership in weekly performance reviews. Built Power Apps tools for teacher availability, leave, attendance, and progress tracking, replacing manual, email-based follow-ups and cutting coordination overhead for a 50+ person teacher pool. Served as primary analytics point of contact for operations stakeholders, extracting and validating data from SQL, Excel, and cloud portals to deliver daily/weekly/monthly MIS reports and ad-hoc analysis under tight turnaround windows.
Data Analyst
Prism Enterprises Pvt. Ltd.
Oct 2020 - Nov 2021
Built Power BI dashboards and Excel reports tracking order status, stage duration, and manufacturing KPIs, cutting the time to identify process bottlenecks and enabling faster management decisions. Automated recurring Excel reporting and email workflows with VBA, saving 30-60 minutes per run across multiple daily/weekly processes and reducing manual errors in distributed reports. Owned master-data quality checks and led root-cause analysis with cross-functional stakeholders, resolving recurring reporting discrepancies at the source rather than downstream.
Data Analyst Intern
Innodatatics
Aug 2020 - Oct 2020
Segmented customer payment histories to support lending-risk and customer-behavior analysis for a consumer lending portfolio. Built and evaluated a machine learning model to predict revolving loan amounts, presenting results through visualizations for a non-technical stakeholder audience.
Education
B.S. in Data Science and Applications - Indian Institute of Technology, Madras
2022 - 2026 · Afghanistan
Diploma in Data Science - Indian Institute of Technology, Madras
2022 - 2024 · Afghanistan
Certifications
Minor in Economics and Finance
IIT Madras · 2026
Implementing Machine Learning Techniques Using NumPy
IIT Madras · 2025
Python for Data Science, AI & Development
· 2024
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Skills (38)
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