Darpan Chanana

AI Researcher

Bengaluru, Karnataka, India1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Boosted user engagement by 40% through intent recognition models.
Achieved 16% precision improvement in user intent detection.
Experienced in building scalable machine learning solutions.

Stackforce AI infers this person is a Data Science professional with a focus on AI and machine learning solutions.

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Skills

Core Skills

Data ScienceMachine LearningDeep LearningNatural Language Processing (nlp)Team ManagementBackend Development

Other Skills

MLflowLangChainData version controlModel DevelopmentVector DatabasesRetrieval-Augmented Generation (RAG)Microsoft SQL ServerData ModelingStatisticsData VisualizationData AnalyticsAnalytical SkillsArtificial Intelligence (AI)Generative AIData Analysis

About

Data Science professional currently working as an Associate Data Scientist at Swiggy. Passionate about solving large-scale data problems and building scalable machine learning solutions that drive impactful, data-informed product decisions.

Experience

1 yr 2 mos

Total Experience

10 mos

Average Tenure

4 mos

Current Experience

Swiggy

Associate Data Scientist

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · Hybrid

MLflowLangChainData version controlModel DevelopmentVector DatabasesRetrieval-Augmented Generation (RAG)+43

Cars24

Data Scientist

Jul 2025 – Jan 2026 · 6 mos · Gurugram, Haryana, India · Hybrid

Python (Programming Language)Data ScienceGenerative AIMachine Learning

Bobble ai

2 roles

AI Intern

Aug 2024 – Jul 2025 · 11 mos · Hybrid

Built and optimized multilingual intent recognition models, boosting user engagement and conversions by 40% across 5+ regional markets.
Created multithreaded data ingestion workflow that decreased data extraction pipeline runtime by 70%.
Created new pipeline for intent detection models utilizing Llama 3.1-70B model.
Designed advanced Deep Learning model architecture, achieving a 16% improvement in precision (from 0.68 to 0.79) for user intent detection, significantly enhancing ad optimization strategies.
Optimized inference scripts for deep learning models, reducing time complexity and improving efficiency, with metrics such as a 30% reduction in inference time per sample and a 25% decrease in evaluation time.

Python (Programming Language)EDATensorFlowLarge Language Models (LLM)Deep LearningNatural Language Processing (NLP)

Artificial Intelligence Intern

Feb 2023 – Apr 2024 · 1 yr 2 mos · Gurugram, Haryana, India · Hybrid

Building AI models for intent detection.
Achieved significant results in improving precision and recall metrics of shopping intent model.
Executed POCs for improving performance of intent detection models.

KerasTensorFlowDeep LearningPython (Programming Language)Natural Language Processing (NLP)Feature Engineering+4