Amrit is a Senior Data Analyst with 10+ years of hands-on experience in digital marketing, customer engagement, and data-driven campaign optimization across retail, financial services, and professional services. He has proven expertise in campaign analysis using customer-level data, GA4 analytics, and dashboard creation that drives measurable business impact. Amrit is an expert in translating complex marketing data into compelling insights and creating automated presentation solutions for CMOs and marketing leadership teams. He transforms marketing performance through advanced analytics, automated reporting solutions, and data-driven strategies that optimize customer engagement and drive commercial growth.
Leading enterprise analytics transformations across multiple organizations, specializing in commercial insights and strategic decision support.
Developed a comprehensive marketing analytics platform with advanced attribution modeling and real-time campaign optimization across digital channels.
Built an enterprise data function from scratch across sales, marketing, and finance departments, establishing data-driven decision-making as an organizational foundation serving business users.
Led a multi-channel attribution analysis integrating GA4, Google Analytics, Facebook Ads Manager, and social media data to optimize marketing mix and budget allocation.
Created a customer-level campaign analysis framework using behavioral analytics for marketing personalization and targeted campaigns.
Implemented an Azure Databricks platform with medallion architecture processing high-volume daily transactions.
Built a production NLP pipeline using BERT for sentiment analysis processing weekly social media posts for customer feedback analysis.
Developed an automated marketing analytics suite including RoAS tracking, CAC & LTV analysis, CTR/Engagement reporting, and campaign performance dashboards with real-time optimization recommendations.
Created advanced dashboard solutions using Power BI for executive reporting, enabling self-service analytics across marketing teams.
GA4
Google AnalyticsFacebook Ads Manager
Power BI
Azure
Databricks
NLPBERT
Business Intelligence (BI)
Azure DatabricksNatural Language Processing (NLP)
Sentiment Analysis
Dashboard Development
Edelweiss Financial Services
Assistant Manager - Analytics Team
2019 - 2019
Mumbai, India
Established enterprise data intelligence capability for a multi-billion-dollar financial services organization.
Led a 2-person team, building comprehensive credit risk, loan delinquency, and collections dashboards using Tableau to support the CRO's decision-making.
Developed ensemble-method credit default prediction system using LightGBM, XGBoost, and Neural Networks, achieving 0.91 AUC-ROC performance and preventing losses through early risk identification.
Collaborated with cross-functional teams to build production data pipelines and governance frameworks supporting credit risk and regulatory reporting.
Presented strategic insights and recommendations to C-suite executives, translating complex analytics into actionable business strategies and risk mitigation approaches.
Designed scalable data infrastructure integrating enterprise systems (SAP HANA, SQL Server) with automated quality frameworks and Databricks MLOps practices.
Delivered strategic analytics solutions for Fortune 500 clients across multiple industries.
Led the BI team, coordinated with stakeholders for requirements gathering, and developed performance dashboards to gain real-time visibility in KPIs.
Conducted root cause analysis of product deviation to reduce error margins during production.
Performed time series analysis of sales trends over years, months, and weeks.
Removed manual workload in sales analysis reports, reducing 80% of reporting efforts.
Developed product and customer analysis dashboards to provide insights into store operations.
Reduced the cost of stock movement by analyzing stock requirements at store and warehouse level and helping the logistic team to effectively monitor and take required actions.
Created views and stored procedures in SQL Server as data sources for Tableau reports.
Analyzed market trends by developing product rating and feedback reports with real-time data.
Created production dashboards to track product quality, progress status, and meet deadlines.
Created operational cost, income statement, and cash inflow dashboards for business analysis.
Led 5+ complete data warehouse implementations from requirements gathering to user adoption.
Established a comprehensive data intelligence function supporting loan origination, disbursement, and collections, contributing to 15% increase in loan disbursals and 20% growth in cross-sell revenue. Developed analytics for subscription-like payment models, analyzing customer retention patterns and lifetime value to improve commercial outcomes. Built cross-sell propensity models, identifying high-value prospects and optimizing product placement strategies.
Architected and deployed an analytics platform serving 300+ users across audit, risk, and business functions with comprehensive governance and security controls. Conducted strategic presentations to Deloitte partners, delivering insights that influenced client engagement strategies and internal operations. Implemented a comprehensive security framework with Active Directory integration, achieving 99.9% uptime and seamless compliance management.
Led the complete modernization of manual reporting systems into a centralized Power BI platform, improving strategic decision-making capabilities. Reduced processing time by 40% through optimized ETL pipelines and automated data quality monitoring. Collaborated directly with executive leadership to define strategic KPIs and reporting requirements aligned with business priorities.
Established analytics capability from ground up, leading team of 5 data analysts and engineers, achieving 30% operational efficiency improvement. Developed comprehensive training programs and documentation standards, ensuring sustainable analytics practices and organizational capability development.
Education
Mastering LLMs: A Conference for Developers & Data Scientists