Reena Ramachandran

Bangalore, India 2+ yrs exp 80 · Excellent

About

A proactive and enthusiastic individual with strong analytical and problem-solving skills, seeking an opportunity to contribute and grow in a dynamic organization. Eager to leverage my knowledge and skills across diverse functions to drive success and innovation.

Skills & Expertise (15)

Python Intermediate

6.3/10

Years Exp

Microsoft Word Intermediate

6.0/10

Years Exp

Excel Intermediate

6.0/10

Years Exp

PowerPoint Intermediate

6.0/10

Years Exp

HTML Intermediate

5.0/10

Years Exp

CSS Intermediate

5.0/10

Years Exp

C# Beginner

4.5/10

Years Exp

.NET Beginner

4.5/10

Years Exp

OpenCV Beginner

4.0/10

Years Exp

TensorFlow Beginner

4.0/10

Years Exp

Azure Beginner

4.0/10

Years Exp

MySql Beginner

3.5/10

Years Exp

Microsoft SQL Server Beginner

3.5/10

Years Exp

Flask Beginner

3.5/10

Years Exp

PowerBI Beginner

3.0/10

Years Exp

Work Experience

Catalog Assistant

Amazon

Dec 2024 - Present

Performed ASIN regeneration for Books by reviewing and refining product data to ensure accuracy and consistency across categories. Supported supervised fine-tuning by curating high-quality inputs and resolving metadata discrepancies. Conducted end-to-end ASIN regeneration for Starfish Media DVD content, ensuring schema alignment with hard/soft enum standards and validated attribute sourcing. Executed audits of product data by verifying key attributes across Amazon platforms and resolving discrepancies through cross-source validation. Generated clear and accurate product prints that capture the core product identity. Developed a standardized Product Print Evaluation framework to compare textual summaries from multiple ML models. Validated key product attributes and identified inconsistencies for data accuracy. Performed Human-in-the-Loop audits of PRISM model outputs to validate ASIN matching decisions. Used structured/unstructured data across Hardlines, Softlines, and Consumables. Applied product-type tenets to identify duplicates, non-duplicates, and data inconsistencies. Evaluated decisions generated by LLMs to identify root causes of disagreement with human labels, focusing on false duplicate/non-duplicate cases by reviewing image, text, and product print inputs for scoring, matching, and data quality issues.

.Net Developer Intern

Roots Industries India Private Limited

Jan 2024 - Jul 2024

Developed a customer support chatbot with problem categorization and custom question answering, integrating a fallback using ChatGPT LLM and deploying it on Azure for scalability.

Python Developer Intern

KG Information Systems Private Limited

Jul 2022 - Dec 2022

Developed a web application for extracting text from scanned documents and images using deep learning models (DBResNet, CRNN) to improve recognition accuracy.