Open to opportunities

sai surya nandivada

@saisuryanandivada

Message

AI-focused data quality and machine learning specialist delivering NLP insights, ETL systems, and automation.

India

Message

What I'm looking for

I’m looking for fully remote roles in AI evaluation and data quality, with opportunities to support ML operations and catalogue/content review. I enjoy building repeatable pipelines and applying rigorous quality checks to improve training data and outcomes.

I’m an AI-focused Data Quality specialist with hands-on experience in machine learning, NLP-based sentiment analysis, ETL pipeline development, and intelligent automation. I build solutions that make data usable, measurable, and reliable for downstream decision-making.

Through an AI/ML virtual internship under Microsoft’s initiative via Edunet Foundation, I built and evaluated ML models using Python, Scikit-learn, and NLTK across supervised learning and NLP tasks. I also developed a sentiment analysis classifier that detects emotional tone from user-input text, gaining exposure to Azure AI services and real-world ML problem-solving.

I apply this same quality mindset to automation and analytics, including an 18-agent job automation pipeline that processes 10+ job portals daily and outputs scored results to Google Sheets. I’ve also built an end-to-end ETL pipeline for 1,561 job postings (Python → MySQL → Power BI dashboards), identifying demand patterns, salary bands, and location insights.

Experience

Work history, roles, and key accomplishments

AI & ML Virtual Intern

Microsoft Initiative (AICTE/Edunet Foundation)

Completed an AICTE-recognised 4-week AI/ML virtual internship via Edunet Foundation under Microsoft’s initiative. Built and evaluated supervised ML and NLP sentiment models using Python (Scikit-learn, NLTK) and gained hands-on exposure to Azure AI services and generative AI concepts.

Machine Learning Natural Language Processing (NLP)Sentiment Analysis Python scikit learn NLTK Azure Services Supervised Learning Generative AI

Data Analyst (ETL Pipeline)

Portfolio Project

Scraped and processed 1,561 job postings across 10+ portals to build an end-to-end ETL pipeline. Stored data in MySQL and created Power BI dashboards to identify top-demand skills, salary bands, and location patterns.

ETL Python Web Scraping BeautifulSoup Pandas MySQL Power BI Data Visualization Job Market Analytics

AI Automation Engineer

Independent Project

Designed and deployed an 18-agent Python automation pipeline to process 10+ job portals daily using GitHub Actions scheduled runs. Implemented ghost-job detection and triple-scoring logic (skill/location/trust) with Google Sheets output.

Python Web Scraping Playwright BeautifulSoup GitHub Actions Google Sheets Data Pipelines