Nihal Choudhary

About Nihal Choudhary

I am a data-driven problem solver specializing in business analytics, data science, and e-commerce intelligence — turning raw, complex datasets into strategic business outcomes. My work bridges data engineering, advanced analytics, and business decision-making, enabling organizations to optimize performance, predict trends, and drive revenue growth. Key Highlights: • E-Commerce Expertise: Deep experience with Amazon, CommerceIQ, MSMEx, and The Indus Valley in search relevance, customer segmentation, advertising optimization, and sales analytics. • Advanced Analytics & Modeling: Skilled in machine learning (Python, R, TensorFlow), time series forecasting, RFM & CLTV modeling, and predictive analytics to forecast growth and mitigate risks. • Visualization & Insights: Architected enterprise dashboards in Tableau, MySQL, and Excel (Advanced), delivering high-visibility insights to leadership and cross-functional teams. • Operational Impact: Standardized search quality metrics across global teams, optimized advertising ROI, and improved user experience through data-backed recommendations. Career Vision:To advance as a leader in analytics and data science, shaping the future of e-commerce decision-making by blending cutting-edge technology with deep market understanding. My goal is to influence strategic decisions with precision, foresight, and measurable results.Core Skills: Data Science | Business Intelligence | E-Commerce Analytics | Dashboard Development | Predictive Modeling | Machine Learning | SQL | Python | Tableau | Advanced Excel | Statistical Analysis | Data Visualization | Search Relevance | Customer Behavior Analysis~\"Jack in machine learning and deep learning algorithms, mastering them one after another \"~

Experience

1. Business Analyst -ii

   Amazon

   Nov 2024 — Present · Bengaluru, IN

   Developed and launched the P0 Search Relevance Dashboard, providing leadership with critical insights into relevance metrics. • Standardized relevance measurement by compiling Search Quality Reference datasets for 2024 and 2025. • Designed the Search Refinement Dashboard to analyze user behavior trends, nearing production launch. • Led the refactoring of the Infinity Portal, ensuring consistency across data sources and archiving legacy dashboards.

Education

• Chettinad Vidyashram

  XII ( CBSE), Computer Science

  2012 — 2014

• SRM IST Chennai

  Bachelor of Technology, Computer Science and Engineering

  2014 — 2018