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Ayush Saxena

@ayushsaxena5

Senior Data Analyst at Digital Next Consultancy who lowered D2C customer acquisition cost 28% and increased conversion from 1.6% to 2.7%.

India

Message

At Digital Next Consultancy, I used cohort and RFM analysis to segment D2C customers, lowering customer acquisition cost by 28% and increasing repeat purchase rate by 22%. I also analysed multi-variant funnel tests that raised conversion from 1.6% to 2.7%.

I built a KPI dashboard for CAC, LTV, ROAS and revenue, and tracked Meta Ads performance while ROAS remained between 2.4x and 2.8x. I also analysed customer reviews with LLMs to inform pricing, ad spend and stock decisions.

At Tiger Analytics, I analysed supply chain and transaction data and built Order-Up-To models that reduced stock imbalance by 12 to 15%. Earlier, at Cognizant Technology Solutions, I wrote a Python automation script that cut regression testing time for CVS Pharmacy insurance claims systems from 40 minutes to 1.5 minutes. I’ve also evaluated LLM responses and prompts for Deccan AI and Outlier.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

Digital Next Consultancy

May 2023 - Present (3 years 5 months)

Segmented customers of a D2C brand with cohort and RFM analysis, reducing customer acquisition cost by 28% and increasing repeat purchase rate by 22%. Designed and analyzed multi-variant A/B tests, improving conversion rate from 1.6% to 2.7%.

SQL Power BI Python Cohort Analysis RFM Analysis A B Testing Meta Ads LLM analysis KPI Dashboards

AI Trainer

Deccan AI and Outlier

Oct 2023 - Dec 2024 (1 year 2 months)

Evaluated LLM responses for accuracy, clarity, and helpfulness against detailed guidelines. Wrote and graded prompts, annotated data, and ran model QA across model versions, including multilingual content.

LLM Evaluation Prompt Writing Data Annotation Model QA Multilingual Content

Data Analyst

Tiger Analytics

Mar 2022 - Apr 2023 (1 year 1 month)

Analyzed supply chain and transaction datasets in SQL and Python to support inventory allocation across EMEA and North American markets. Built Order-Up-To models that reduced stock imbalance by 12-15% and automated data validation checks.

SQL Python Supply Chain Analytics Data Validation Order Up To Models Feature Engineering

Programmer Analyst Trainee

Cognizant Technology Solutions

Aug 2021 - Mar 2022 (7 months)

Wrote a Python automation script that reduced regression testing time for CVS Pharmacy insurance claims systems from 40 minutes to 1.5 minutes. Ran functional testing of claims workflows before release.

Python Automation Regression Testing Functional Testing