Gururaja Rao Kandi

Roles & Responsibilities:

- Designed and deployed personalization and recommendation systems using collaborative filtering and retrieval based models.
- Implemented Generative AI solutions (RAG with LLMs, prompt engineering, finetuning) for customer support and content generation.
- Built end to end ML pipelines on BigQuery, Azure, and Airflow with MLflow integration for tracking and monitoring.
- Mentored junior data scientists and facilitated cross functional discussions to accelerate AI adoption.


Key Achievements:

- Increased user engagement by 15%+ through advanced recommendation systems.
- Reduced manual workload by 30% by automating customer support processes with GenAI.

Roles & Responsibilities:

- Developed fraud detection models leveraging Python, SQL, Spark, and Hive with realtime anomaly detection.
- Conducted controlled experiments and advanced analytics to improve transaction approval rates.
- Deployed ML models in production with CI/CD pipelines, incorporating model drift monitoring and retraining.
- Collaborated with product, engineering, and business teams to convert analytical insights into business strategies.


Key Achievements:

- Reduced false positives in fraud detection by 20%.
- Improved transaction approval rates, directly enhancing customer experience and trust.

Roles & Responsibilities:

- Built recommendation systems and NLP based ranking algorithms to enhance search relevance.
- Applied timeseries forecasting and predictive analytics for sales and demand planning.
- Conducted stakeholder workshops and created dashboards to facilitate business adoption of ML solutions.


Key Achievements:

- Improved CTR (Click Through Rate) by 12% with optimized recommendation and ranking models.
- Enhanced sales forecast accuracy by 15%, supporting better business planning.

- Analyzed and translated customer requirements into actionable data-driven insights.
- Streamlined user data from music and live streaming platforms into AI recommendation systems.