Headline

Analytics, Growth & Strategy @ noon | Analytics, Data Science, AI & BI | Business · Growth · Product | Ex-Amazon · EXL · Etailize | E-commerce · Q-commerce · Consumer Tech

About

Data nerd at heart, mastering the art of balancing hands in TECH and BUSINESS. Turning raw numbers into actionable insights, bridging innovation with strategy, and building solutions that drive impact. Into Revolutionizing Retail, E-Commerce, QuickCommerce,Supply chain Operations and Tech Products. Leveraging Advanced analytics and engineering to optimize experiences, streamline processes, and drive growth in fast-paced dynamic markets. I thrive at the intersection of data, technology, and business strategy. In a world driven by DATA, TECH and AI, I’m here to ensure businesses don’t just survive—they thrive !! Let’s connect and build the future of commerce together! Connect with me: Topmate : https://topmate.io/arbaaz_m Email : arbaazxpersonal@gmail.com

Location

Bengaluru

AI stack

claude code

claude

hugging face

notion

claudecode

Work experience

Assistant Program Manager - Analytics & Growth at noon, Jul 2026 - Present · 2 mos, Dubai, United Arab Emirates, Program Manager - Analytics , Growth , Commercial & Strategy

Business Intelligence Analyst - II at noon, Jul 2025 - Jul 2026 · 1 yr 1 mo, India, Business Intelligence & Analytics Lead for Sports & outdoor category for KSA & UAE market. Growth, Commercial, Product, Business Strategy & Analytics. Location - Riyadh,KSA ; Dubai,UAE ; Delhi,India

Business Intelligence Engineer - I ( External ) at Amazon, Jul 2024 - Jul 2025 · 1 yr 1 mo, Bengaluru, Karnataka, India, EXL - secondment Amazon.IN ( Sub Same Day Delivery Experience ) Led Business Intelligence & Analytics with Amazon’s Sub Same Day Delivery (SSD) program (via EXL), I enabled strategic decision-making and measurable business impact for Prime customers by supporting mission to deliver xM+ essential products within same-day or sub same-day across xx+ cities in India. The SSD initiative was designed to go beyond quick commerce by building a scalable hyperlocal delivery model—powered by dark store operations, selection expansion, and speed-focused customer experience—transforming how Prime customers discover, shop and receive everyday essentials. Business Impact Highlights: Influenced $xxM+ incremental revenue through analytics-driven improvements across product visibility, speed, and fulfillment performance Achieved xx% improvement in delivery speed through diagnostics on operations, inventory flow, and supply chain efficiency Enabled xx% uplift in product discoverability, leading to higher conversion and engagement Supported hyperlocal expansion across Top xx+ cities with analytics for dark store launch readiness, selection optimization, and operational KPIs Improved customer satisfaction metrics by delivering insights across marketing, product, supply chain and last mile delivery touchpoints I led the development of reporting and decision systems using SQL, PySpark, SparkSQL, and built scalable infrastructure including data warehouses, OLAP models, data marts, and ETL/ELT pipelines. Insights were delivered through QuickSight and enhanced with advanced analytics, including time series forecasting, ML models and GenAI/LLMs for proactive and predictive business decisions. This role spanned the full lifecycle from product discovery to final delivery to customer satisfaction and retention, delivering business impact across the entire customer journey.

Assistant Analytics Manager at EXL, Jul 2024 - Jul 2025 · 1 yr 1 mo

Data Scientist - I at e-tailize, Jan 2023 - May 2024 · 1 yr 5 mos, Netherlands-India, ◦ Analytics Engineering: Developed a multi-faceted data and analytics product for E-commerce sellers on Azure cloud platform. This product included an OLAP system for data ingestion, processing, and analysis. constructed key performance indicators (KPIs) and reports, utilizing data modeling techniques (star schema/snowflake schema) and Power BI for data visualization. This comprehensive solution led to a 20% increase in identifying high-potential revenue opportunities, enabling targeted marketing campaigns. ◦ Data Science: Spearheaded the development of a Python-based time series machine learning model using FB-Prophet for demand planning and forecasting. a major hurdle for optimizing stock levels and maximizing revenue. By leveraging historical sales data, Exploratory data analysis, demographics, seasonality trends, and external factors, the model achieved a 15% improvement in sales accuracy. ◦ Led the development of a Customer-Product sentiment analysis system , focusing on customer feedback for products sold by sellers on the e-commerce platform. This data-driven approach yielded a substantial 20% increase in customer satisfaction scores. The system assigned custom metrics to capture positive and negative customer sentiment, identifying key areas for product improvement. By leveraging Python NLP libraries, OpenAI GPT-3.5 models, AzureSql and AzureCosmosDB for data storage. we extracted actionable insights and recommendations that empowered sellers to optimize their product offerings, leading to increased sales and a strengthened competitive advantage. ◦ Business Analytics: Developed a data-driven solution to performance visibility challenges at E-tailize, leading a comprehensive business analytics project. Developed custom dashboards that tracked key metrics (total active users, daily/monthly active users, ARPU, YoY/QoQ/MoM sales growth, retention rate, churn rate, and customer satisfaction score.

Data Analyst Intern at Market Search India, Feb 2022 - Jun 2022 · 5 mos, Mumbai, Maharashtra, India

Education

Advanced Growth Strategy Program, GrowthX®

Master's degree, Big Data Analytics, JAI HIND COLLEGE, MUMBAI