Meghana Reddy Nalla

Project 1: E-commerce Data Pipeline

• Objective: Design and implement a data pipeline for an e-commerce platform to analyze customer behavior, track sales trends, and optimize inventory management.
• Tasks: Extract data from various sources such as online transactions, website interactions, and customer reviews.
  Transform the data to create a unified and clean dataset.
  Load the processed data into a data warehouse for analytics.
  Implement security measures to protect sensitive customer information.
  Create dashboards or reports for stakeholders to visualize key metrics.

Project 2: Social Media Analytics Platform.

• Objective: Build a data analytics platform to analyze social media data, understand user engagement, and identify trending topics.
• Tasks: Extract data from social media APIs (e.g., Twitter, Facebook).
  Clean and preprocess the data to extract relevant information.
  Implement sentiment analysis to understand user opinions.
  Create a data model for efficient storage and retrieval.
  Develop a user interface or dashboard to present insights to end-users.

Project 3: Health Monitoring System

• Objective: Develop a data pipeline to collect and analyze health-related data from wearable devices, providing insights for users and healthcare professionals.
• Tasks: Extract data from wearable devices (e.g., fitness trackers, smartwatches).
  Transform and aggregate data to monitor trends in physical activity, heart rate, and sleep patterns.
  Load the processed data into a secure database.
  Implement data governance practices to comply with healthcare regulations.
  Develop visualizations or reports for users and healthcare providers.

• Trained ML model on Harry Potter books.
• Applied NLP for writing style analysis.
• Developed a model generating text in Rowling's style.
• Tech: Python, NLP (NLTK), ML (TensorFlow).
• Outcome: Captured Harry Potter's distinctive style.

• Tech: Streamlit, Langchain, Vector Databases, Python.
• Outcome: Built an efficient chatbot parsing PDFs, showcasing skills in web development and NLP.

• Collaborated with cross-functional teams to design, implement, and maintain robust system infrastructure, providing a solid foundation for data analytics capabilities.
• Engineered data pipelines to facilitate the efficient movement of data from diverse sources into a centralized data lake, ensuring seamless integration and accessibility.
• Worked closely with stakeholders and Subject Matter Experts (SMEs) to identify, integrate, and optimize new data sources, enhancing the overall data analytics capabilities.
• Implemented security best practices to ensure the confidentiality, integrity, and availability of data, aligning with industry standards.
• Troubleshot, debugged, and resolved iteration/production defects promptly, contributing to system reliability and optimal performance.