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Ankit Singh Chauhan

Lead Data Analyst | Agentic Analytics · ETA Prediction · Fraud Detection | SQL · Python · Snowflake · dbt | Ex-Uber, Verizon

Bengaluru

8+ years of work experience

project44
Oct 20232 yrs 11 mosPresent

Bengaluru, Karnataka, India

• Architected a multi-agent agentic analytics platform with plan-then-execute workflows (presented to CTO, VP, and full C-suite) which reduced ETA analysis from 3–5 days to under 60 minutes, improving ETA accuracy by 10% and carrier network data quality by 5% • Built LLM-powered data inspection tools with structured metadata layers for fine-tuning on internal models; automated insight generation (3 hours to 2 minutes, 98% reduction) and eliminated 40% of redundant LLM calls • Led end-to-end onboarding product analytics identifying key funnel drop-off points - cross-functional recommendations drove onboarding completion from 26% to 37% (+42% relative gain). • Engineered advanced features and EDA to improve ETA Prediction Model accuracy by 12pp • Partnered with Data Engineering to architect Snowflake + dbt framework; defined dbt standards adopted by 5+ analysts across customer-facing dashboards, reducing ad-hoc data requests by 60%.
BlueJeans by Verizon
Apr 20221 yr 7 mosOct 2023

Bengaluru, Karnataka, India

• Improved fraud detection accuracy by 21% in 3 months through advanced analytics and modeling; developed a Cost Impact equation quantifying $1.2M+ in fraud-revenue implications. • Defined and implemented Product Quality metrics, driving a 32% improvement in 2 key products within one quarter. • Spearheaded migration of dashboards from Periscope to Tableau, reducing report generation time by 50% and enhancing data accessibility for 30+ stakeholders.
Uber
May 20211 yrApr 2022

Hyderabad, Telangana, India

• Designed and deployed a fraud detection tool for IND-SA region, achieving 97% accuracy and saving an estimated 400+ support staff hours monthly. • Built an Operations dashboard monitoring 15+ processes; mentored junior analysts on data infrastructure and analytical best practices through recurring 1:1 sessions
MetricStream
Nov 20182 yrs 7 mosMay 2021

India

Ankit’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
claude code
claude code
cursor
cursor
gemini
gemini
langgraph
langgraph

Education

Bachelor of Engineering, Civil Engineering

Bhilai Institute of Technology Durg

20144 yrs2018

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Headline

Lead Data Analyst | Agentic Analytics · ETA Prediction · Fraud Detection | SQL · Python · Snowflake · dbt | Ex-Uber, Verizon

About

Lead-level Data Analyst with 7+ years at project44, Uber, and Verizon. I build the analytical infrastructure that turns ambiguous data science and product questions into decisions -most recently architecting an agentic analytics platform that cut ETA analysis from 3–5 days to under 60 minutes. I specialise in: 1. Data Science Analytics & Experimentation 2. Fraud detection 3. ETA/Predictive Modeling 4. Agentic Analytics 5. Self-Serve data infrastructure (Snowflake + dbt) Always happy to connect with fellow data practitioners, product leaders, and anyone working at the intersection of AI and analytics.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

cursor

gemini

langgraph

Work experience

Senior Product Analyst at project44, Oct 2023 - Present · 2 yrs 11 mos, Bengaluru, Karnataka, India, • Architected a multi-agent agentic analytics platform with plan-then-execute workflows (presented to CTO, VP, and full C-suite) which reduced ETA analysis from 3–5 days to under 60 minutes, improving ETA accuracy by 10% and carrier network data quality by 5% • Built LLM-powered data inspection tools with structured metadata layers for fine-tuning on internal models; automated insight generation (3 hours to 2 minutes, 98% reduction) and eliminated 40% of redundant LLM calls • Led end-to-end onboarding product analytics identifying key funnel drop-off points - cross-functional recommendations drove onboarding completion from 26% to 37% (+42% relative gain). • Engineered advanced features and EDA to improve ETA Prediction Model accuracy by 12pp • Partnered with Data Engineering to architect Snowflake + dbt framework; defined dbt standards adopted by 5+ analysts across customer-facing dashboards, reducing ad-hoc data requests by 60%.

Senior Data Science Analyst at BlueJeans by Verizon, Apr 2022 - Oct 2023 · 1 yr 7 mos, Bengaluru, Karnataka, India, • Improved fraud detection accuracy by 21% in 3 months through advanced analytics and modeling; developed a Cost Impact equation quantifying $1.2M+ in fraud-revenue implications. • Defined and implemented Product Quality metrics, driving a 32% improvement in 2 key products within one quarter. • Spearheaded migration of dashboards from Periscope to Tableau, reducing report generation time by 50% and enhancing data accessibility for 30+ stakeholders.

Data Analyst at Uber, May 2021 - Apr 2022 · 1 yr, Hyderabad, Telangana, India, • Designed and deployed a fraud detection tool for IND-SA region, achieving 97% accuracy and saving an estimated 400+ support staff hours monthly. • Built an Operations dashboard monitoring 15+ processes; mentored junior analysts on data infrastructure and analytical best practices through recurring 1:1 sessions

QA Analyst at MetricStream, Nov 2018 - May 2021 · 2 yrs 7 mos, India

Education

Bachelor of Engineering, Civil Engineering, Bhilai Institute of Technology Durg