Namra Joshi

About Namra Joshi

Software Engineer and Data Analyst passionate about building AI-powered solutions that drive measurable business impact. Currently pursuing my MS in Data Science & Analytics at New England College while working on cutting-edge Generative AI applications.Previously at Amazon as a Software Engineer on the Buyer Abuse team, where I built scalable RESTful APIs and data pipelines processing fraud cases per week during Prime Day using Java, Python, and AWS (S3, EC2, SQS, SNS). Collaborated with 6-8 engineers to reduce buyer abuse through fault-tolerant microservices.Currently at Greenlit Labs as a Data Analyst, where I automate reporting for 200+ KPIs across 1,500 users, build Power BI dashboards, and implement LLMs (Claude, Llama) for agentic AI initiatives. Reduced manual reporting by 85% through Python and PostgreSQL automation. Working with the CTO in a startup environment, exploring vector databases and transformers.Previously at DMC Group and Envirta Technologies: conducted statistical analysis using regression models, A/B testing (18% conversion improvement), optimized SQL queries (60% faster), and delivered recommendations influencing $2M+ in strategic budget decisions. Technical ExpertiseSoftware Engineering: Java, Python, RESTful APIs, Microservices, AWS (EC2, S3, SQS, SNS)Data Analytics: SQL, Power BI, Tableau, ETL Pipelines, Statistical Analysis, A/B TestingAI/ML: LLMs (Claude, Llama, GPT), Vector Databases, Transformers, Generative AITools: Docker, GitHub, PostgreSQL, Snowflake, Pandas, NumPy, Scikit-learn Education: MS in Data Science & Analytics - New England College (2026)| BS in Computer Science - San Jose State University (2022) What I\'m Looking ForOpen to Software Engineering, Data Analyst, AI/ML Engineering, and Data Engineering roles where I can leverage my production engineering experience and data science skills. Particularly excited about Generative AI applications, data-intensive backend systems, ML infrastructure, and analytics platforms. Passionate about Generative AI, Large Language Models, and the intersection of software engineering and data science. Always learning, always building. Let\'s connect if you\'re building AI-powered products or need someone who speaks both \"engineer\" and \"data scientist.\"

Experience

1. Data Analyst

   Greenlit

   Oct 2025 — Present

   Built scalable data pipelines and ETL workflows using Python (Pandas, NumPy) and PostgreSQL to automate reporting for 200+ KPIs across 1,500+ users, reducing manual work by 85%• Designed complex SQL queries with window functions, CTEs, and query optimization techniques to analyze 10M+ row datasets, ensuring data quality and enabling real-time insights for executive decision-making• Developed production-ready data pipelines integrating Stripe API with relational databases, creating unified data models that improved revenue forecasting accuracy by 40%• Implemented LLM applications (Claude, Llama) and explored vector database architectures for agentic AI initiatives, collaborating with technical team reporting to CTO in fast-paced startup environment• Created interactive dashboards using SQL, Python, and data visualization tools to deliver actionable insights supporting strategic business decisions• Technologies: Python, SQL, PostgreSQL, AWS, LLMs (Claude, Llama), Vector Databases, ETL, Data Pipelines, Power BI, Stripe API, Docker, Git

Education

• New England College

  Master of Science - MS, Data Science & Analytics

• San José State University

  Bachelor of Science - BS, Computer Science