Open to opportunities

PRIYANSH JHALORA

@priyanshjhalora

Message

ML-focused engineer building production models, pipelines, and AI automation.

India

Message

What I'm looking for

I want to transition into a Data Scientist / ML Engineer / AI Engineer role, combining strong analytical foundations with active project-level ML and AI engineering depth—building production-ready systems with measurable quality and impact.

I’m an ML-focused engineer and data professional with 2+ years at Meesho, building production ML models, data pipelines, and automation systems at scale. I’ve redesigned ingestion workflows for major speed gains, built QC models that dramatically improved audit mismatch rates, and accelerated pricing refresh cycles through ML-driven pipelines and dashboards.

I enjoy taking end-to-end ownership—monitoring, alerts, logging, and model evaluation—while applying classifiers, RL-based agents, and LLM-integrated tools to real business problems. Beyond work, I build AI systems like an offline local assistant (AGNI) and niche LLM/automation platforms, because I value reliable deployment and measurable impact.

Experience

Work history, roles, and key accomplishments

Current

Senior Business Analyst — ML & Pricing

Current

Meesho

Jan 2026 - Present (5 months)

Redesigned the daily ingestion pipeline, removing redundant logic and joins to cut code footprint by ~50% and improve processing speed by 2×. Built QC and ingestion models that reduced audit mismatch rate from 5% of orders to 0.05% and accelerated platform price refresh from 6 weeks to 2 weeks.

Applied Machine Learning Data Pipelines SQL Python

Business Analyst II — Applied ML & Pricing

Meesho

Jan 2025 - Dec 2025 (11 months)

Developed a pre-upload catalog success model on 270K+ products, achieving ~0.50 F1 (about 40% precision, 60–70% recall) to identify high-potential catalogs early. Trained image- and tree-based classifiers for age tagging, built n8n automation for structured image attributes, and reduced platform compute by ~5% via a centralized topline metrics model.

Feature Engineering Tree Models N8n SQL Metric Design

Business Analyst — Growth & ML Analytics

Meesho

Jan 2024 - Dec 2024 (11 months)

Built behavioral segmentation models from in-app activity to drive targeted WhatsApp and push campaigns, resulting in a 2% NMV uplift in Kids Clothing. Developed pricing benchmarks by correcting competitor-scrape bias across ~1,000 PIDs and used time-based funnels to show age-progression effects, leading to age being adopted as a core personalization pillar.

Segmentation Funnel Analysis Cohort Analysis Benchmarking SQL Python