About
Data Analytics & Strategy professional with 2 years at Recykal turning fragmented operational and financial data into systems the business runs on daily — promoted from Strategy Analyst to Assistant Manager in 18 months. I build AI-native fabric directly into everyday reporting and decision workflows: an LLM-embedded financial assistant, an AI-driven buyer risk model, and automation pipelines that replaced hours of manual work with minutes. Foundation in engineering (IIT Hyderabad) and end-to-end ownership — from raw data to a shipped, adopted system — rather than analysis that stops at a slide deck.
Skills & Expertise (26)
Work Experience
Assistant Manager — Strategy & Analytics
Recykal
Apr 2026 - Present
Strategic ownership: own the roadmap for Recykal's analytics and control tower ecosystem, setting reporting standards across 4 operations teams and prioritizing the next phase of automation investment. People leadership: mentor and direct an analytics intern on the financial reconciliation workstream, delegating execution while retaining accountability for the sub-0.1% discrepancy benchmark. Expanded scope: moved from single-pipeline delivery to enterprise-wide oversight of the financial MIS, control tower, and AI-native risk-scoring systems built during my Strategy Analyst tenure — now the primary point of accountability for Recykal's internal analytics stack.
Research Internship
Bureau of Indian Standards (BIS)
Present - Present
Conducted structured technical research for a CWPRS–NIO coastal protection study, independently mapping BIS standard clauses against UN SDG targets.
Strategy Analyst
Recykal
Oct 2024 - Apr 2026
Data & Financial Analytics: Reconciliation turnaround: diagnosed and rebuilt the Metabase–Zoho Books reconciliation pipeline, cutting reporting discrepancy from 2% to 0.08% and restoring executive trust in daily financial reporting. AI-native MIS automation: automated daily financial MIS and vertical-wise profitability reporting in Python (7,275 LOC, 9 modules), cutting generation time from 6 hours to 10 minutes and embedding an AI-native Gemini-powered assistant directly into the reporting workflow for natural-language financial Q&A. AI-driven risk model: built a buyer credit-risk model from 2 years of payment history across 300+ buyers, engineering behavioral features (payment lag, order frequency, dispute history) and embedding 3 risk-band outputs directly into daily collections workflow — the only ML-driven decision system at Recykal running in live operations rather than a static report. Payments & collections suite: delivered a 5-module analytics suite covering buyer payable ageing, on-time vs. delayed payment trends, and automated targets-vs-actuals tracking for leadership review.
Education
B.Tech, Civil Engineering - Indian Institute of Technology Hyderabad
2020 - 2024 · Afghanistan
Certifications
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Skills (26)
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