Nikhil Prema Chandra Rao

Data Scientist

KATBOTZ

Oct 2025 - Current (1 year)

Architect production-grade AI systems integrating large language models, vector similarity search, and dense embedding
pipelines to power real-time financial analytics and automated decision support.
Engineer end-to-end ML and data pipelines incorporating OAuth2 authentication, structured logging, and exponential retry
mechanisms, deploying outputs via Flask REST APIs integrated into live stakeholder dashboards.
Develop automated report generation systems transforming raw financial outputs into structured, analyst-ready summaries
using prompt engineering and LLM orchestration.
Monitor critical financial indicators across enterprise client portfolios, implementing configurable anomaly alerting thresholds to

Data Scientist

HCL Technologies

May 2022 - Jul 2023 (1 year 3 months)

Developed and operationalized NLP pipelines, time-series forecasting models, and collaborative filtering recommendation
systems to drive customer experience improvement and revenue optimization initiatives.
Implemented Spark MLlib and PyTorch-based processing engines to analyze large-scale behavioral datasets, informing
marketing strategy, inventory procurement, and resource allocation planning.
Executed end-to-end model productionization from prototyping through AWS-hosted deployment, applying rigorous validation
protocols across multi-environment rollouts.
Automated customer review classification across 100K+ monthly records using spaCy and BERT pipelines, reducing tagging
response time by 35% and increa

O

Data Scientist

Oracle Cerner

Jan 2020 - Apr 2022 (2 years 4 months)

Orchestrated Airflow- and PySpark-driven workflows integrating multi-source healthcare datasets including EHR, claims, and
laboratory records into Delta Lake environments.
Developed automated anomaly detection frameworks monitoring schema drift, missing values, and data inconsistencies across
active ingestion pipelines.
Surpassed legacy rule-based system performance by 40% through ML model development for patient outcome forecasting and
readmission risk scoring, enabling clinical intervention across client hospital environments.
Reduced manual ETL effort by 25% through scalable AWS pipeline architecture while maintaining full HIPAA and HL7
compliance across all healthcare client deployments.
Decreased

C

Software Engineer Intern

CMTI

May 2019 - Oct 2019 (6 months)

Developed Python-based quality inspection dashboard to monitor component deviation metrics and support manufacturing
process accuracy.
Automated generation of statistical reports and graphical analyses to streamline production quality review. Collaborated with
quality engineering teams to integrate real-time data visualization capabilities into existing inspection workflows.
Cut manual inspection time by 30% through automation of statistical report generation and graphical analysis outputs,
reducing dependency on manual quality review processes.

A

Freelance Data Scientist

Arcapsis

May 2018 - Nov 2018 (7 months)

Designed and implemented core components of an AutoML API automating model selection, hyper parameter tuning, and
deployment using Python, Flask, and Scikit-learn.
Containerized and deployed system infrastructure using Docker and Kubernetes. Integrated experiment tracking and model
interpretability tooling to prepare the platform for production-grade deployment.
Reduced manual hyper parameter tuning effort by 25% through automated pipeline execution and algorithm selection
workflows integrated into the AutoML API framework.

Nikhil Prema Chandra Rao

About

Detail

Timeline

Résumé

Nikhil Prema Chandra Rao

About

Detail

Behavioral traits