Yash Khandelwal

Data Scientist

Bengaluru, Karnataka, India5 yrs experience

AI EnabledHighly Stable

Key Highlights

Developed advanced ML models for fraud detection.
Created dynamic dashboards for stock market analysis.
Led a data science society, enhancing leadership skills.

Stackforce AI infers this person is a Data Science and AI professional with experience in Fintech and Automotive industries.

Contact

yash.khandelwal@swiggy.in LinkedIn

Skills

Core Skills

Machine LearningData ScienceConversational AiDeep LearningArtificial Intelligence (ai)LeadershipAlgorithmic TradingData AnalyticsFinance

Other Skills

Analytical SkillsAndroidBig DataCC++Cascading Style Sheets (CSS)Data MiningData StructuresGenerative AIGoogle Data StudioHTMLImage ProcessingJavaScriptLangChainLarge Language Models (LLM)

Experience

5 yrs

Total Experience

3 yrs 3 mos

Average Tenure

1 yr 9 mos

Current Experience

Swiggy

2 roles

Data Scientist 2

Oct 2025 – Present · 8 mos · Hybrid

Data Scientist 1

Aug 2024 – Sep 2025 · 1 yr 1 mo · Hybrid

🕵️ Building ML & AI models to detect fraud in cancellation, refund & return claims across Swiggy Food & Instamart, supporting Trust & Safety initiatives.
🤖 Leveraging LLMs to automate support for Delivery partners and distill intelligence from conversations

Machine LearningPython (Programming Language)Data ScienceLarge Language Models (LLM)Conversational AILangChain+3

Zendrive

Data Science Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · Hybrid

Leveraged LLM for trip anomaly detection and collision analysis of users’ road trips: developed robust data pre-processing pipeline for GPT contextualization, enhancing driving behavior insights.
Engineered dynamic anomaly detection and reporting algorithms for anomalies in trips.
Conducted statistical data analysis on a population driving data to understand driving behavioural insights across USA

LangChainMachine LearningPython (Programming Language)StatisticsData ScienceLarge Language Models (LLM)+1

Myelin foundry

Deep Learning Intern

May 2023 – Aug 2023 · 3 mos · Bengaluru, Karnataka, India · On-site

Worked on talking face generation using input audio and static face images, collaborating with team members and researching relevant papers.
Implemented Automatic Speech Recognition (ASR) and mood detection on the Android platform, resulting in a highly impactful demo that received positive feedback from customers.
Contributed to the initialization of the Android 8295 board for future use in car infotainment-based applications.

Machine LearningArtificial Intelligence (AI)LinuxDeep Learning

Society for data science, bit mesra

3 roles

President

Promoted

Jun 2022 – May 2023 · 11 mos

LeadershipData ScienceTeam Management

General Secretary

Promoted

Apr 2021 – Jun 2022 · 1 yr 2 mos

Member

Feb 2020 – Apr 2021 · 1 yr 2 mos

Inuvest technologies

Quantitative Analyst Intern

May 2022 – Aug 2022 · 3 mos · Bengaluru, Karnataka, India (Remote)

Researched and developed algorithmic trading bots in Python. Back- tested the bots on the past data and received high returns.
Created market overview live dashboard of NSE stock market data using Plotly in JS.
Did sentiment analysis of news & tweets made on NIFTY companies and created a dashboard on the same in Python (used FinBERT for sentiment analysis). Also created a live visualization of Google Trends of the NIFTY companies.

Indian institute of technology, hyderabad

Research Intern

May 2021 – Jul 2021 · 2 mos

Worked on developing a state-of-the-art model for real-time crowd counting from drone images. Our research paper on it has got accepted for IEEE INDICON Conference 2021. - Did extensive research on : 1. Object counting and crowd counting through Deep Learning.
2. Various Super Resolution networks including - EDSR, MDSR, SRGAN, EESRGAN, etc.

Python (Programming Language)Data AnalyticsFinanceTime Series AnalysisResearchAnalytical Skills+1