Bammidi Venkata Siva Sai Kartheek

Engaged with a prominent CPG client across various projects, including:
Trade Promo Optimization: Developed a comprehensive pricing and promotional model to
assess product elasticity and effectiveness.
Innovation Incrementality: Constructed an attribute model to simulate new product
cannibalization effects.
Insights Generator: created an application leveraging large language models, notably
GPT-3.5, to derive insights and generate plots from data.
Strategic Channel Management: Conducted quadrant analysis to provide strategic
recommendations for focus areas.
Engaged with a prominent fintech client across for the following project:
Customer Support CoPilot: Contributed to the development of a RAG application for a
fintech firm in Asia, utilizing Azure AI Studio, Azure OpenAI, and Azure AI Search.

Responsibilities:
- Conducted end-to-end modeling, post-modeling analysis, data processing, cleansing, solution
development, model refinement, and exploratory data analysis.
Technologies Used:
Azure Databricks, Azure Data Factory, Azure ML Studio, Azure AI Studio, Python, SQL, and
PySpark.

• Improved software performance by identifying and resolving bottlenecks in the code.
• Collaborated with the business team to implement optimization solutions.
  Technologies Used:
  Python,Excel

• Developed an invoice automaJon system for extracJng and uploading accounJng data into Google Sheets. - Automated the generaJon of HR-related documents, including offer leNers, bank leNers, and promoJon-related correspondence. - Implemented web scraping techniques for data extracJon and integraJon with Google Sheets. - Conducted data indexing on Splunk.