User details
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Rekha Wankhede
@rekha_wankhede_61x6w5rge
Data Scientist
Pune, Mahārāshtra, India
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Member since: Jan 21, 2025Results-driven Software Developer with 6 years of experience specializing in Python, ML, AI, and cutting-edge technologies like Gen- AI, LLMs, RAG, and LangChain. Proficient in building robust APIs using FastAPI, with a strong focus on developing innovative AI-powered solutions and integrating advanced architectures to deliver scalable and efficient applications. Recognized for bridging the gap between AI technologies and practical applications to meet
• Developed RESTful APIs using Flask and FastAPI to support a variety of applications.
• Designed and implemented an LLM-powered content moderation system, ensuring accuracy in detecting and mitigating inappropriate content.
• Created a testing framework for moderation results to validate the performance of AI models against predefined criteria.
• Built a sketch application that allowed users to create interactive visual content with dynamic tools.
• Designed a flowchart and diagram generation tool using LLMs to automate visual representation of complex processes.
• Collaborated with cross-functional teams to integrate APIs and deploy solutions in a cloud-based environment.
• Wrote comprehensive technical documentation for APIs and user workflows.
Built robust Python-based data pipelines to process and transform semi-structured data, handling millions of records from Amazon Marketing Cloud efficiently.
• Designed and implemented Python scripts for data ingestion, transformation, and processing workflows.
• Developed automated solutions to clean, preprocess, and structure raw data for downstream applications.
• Chatbot Development Project: analysis.
• Created data cleaning workflows and trained AI models using Python-based tools with data sourced from AWS S3.
• Integrated NLP to enable accurate text processing and domain-specific query resolution in the chatbot.
. Supported the development of Python-based ETL processes, focusing on data transformation, debugging, and performance optimization.
• Gained hands-on experience in designing and implementing data workflows, ensuring efficiency and reliability in data operations.
• Conducted data profiling and analysis to identify quality
• Developed machine learning models in Python to predict demand patterns, reducing stockouts and enhancing customer satisfaction.
• Conducted exploratory data analysis (EDA) to identify patterns and anomalies, contributing to accurate demand forecasting and inventory management.
• Assisted in creating Python-based optimization algorithms for routin and scheduling shipments, improving logistical efficiency.