AJAY SHARMA

New Delhi

Summary

Advanced Analytics and Data Science professional with 8+ years of experience in data-driven insights, automation, and business intelligence. Adept at leveraging NLP, GenAI, Python, SQL, and advanced analytics to improve customer experience and campaign performance. Experienced in building ML models, deploying scalable AI tools, automating workflows, and developing dashboards across diverse industries. Skilled in stakeholder management and presenting insights that drive business decisions.

Overview

years of professional experience

Certification

Work History

Data Analyst 2

Criteo

02.2022 - Current

Developed a LLM-powered assistant using SentenceTransformers and Retrieval Augmented Generation (RAG) to resolve campaign issues, reducing resolution time by 40%.
Built a Flask web app to automate event-triggered audience creation for multiple retail partners, saving 15+ hours per week.
Performed unsupervised user segmentation using K-Means and DBSCAN on event-level logs, identifying distinct behavioral personas to guide creative personalization strategies; improved campaign engagement by 15%
Conducted PMI-based affinity scoring and network graph analysis, improving customer segmentation and increasing campaign engagement by 10%.
Led A/B testing and analytics across APAC markets, boosting campaign ROI by 5–10%.
Streamlined client reporting through automated deck generation, improving team productivity by 25%.

Business Analyst

Decision Point Analytics

11.2020 - 02.2022

Created a purchase structure for a Fortune 500 FMCG brand to understand customer preferences and identify white space opportunities, which led to a successful new product launch.
Developed a SARIMAX model incorporating exogenous variables to forecast automotive market sales in Mexico, outperforming previous models and improving forecast accuracy by 2%.
Led stakeholder engagements to deliver strategic data insights and decision support tools.

Senior Business Analyst

Von Braun

01.2016 - 11.2020

Applied NLP techniques (Topic Modeling, Classification) on gaming forums to extract customer pain points and identify trending product features.
Built a comment classification model to detect and filter abusive content, enhancing platform safety.
Created KPI dashboards and automated reporting using Tableau and Power BI for clients in gaming and retail.

Education

B.Tech - Mechanical Engineering

NIT Kurukshetra

06-2014

AISSCE -

DPS Modern Indian School

01.2010

Skills

Languages & Tools: Python, SQL, PySpark, Git, Flask, Selenium
Machine Learning: Scikit-learn, XGBoost, Decision Trees, SARIMAX
NLP & GenAI: NLTK, Spacy, SentenceTransformers, Topic Modeling, RAG, Transformers

Big Data & Cloud: Spark, AWS (basic exposure)
Visualization & Reporting: Tableau, Power BI, Excel
Methodologies: A/B Testing, Experimental Design, Affinity Scoring, KPI Tracking