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I am a Machine Learning Engineer and Data Scientist with 4 years of experience building scalable ML systems, data pipelines, and AI-driven applications across public sector and industry environments. I enjoy turning complex problems into practical, production-ready solutions. I have strong expertise in Python, PySpark, and distributed data processing, with hands-on experience in Generative AI, LLM integration, and cloud-based deployments on AWS. I design end-to-end ML workflows, optimize large-scale data systems, and translate business needs into impactful, production-ready solutions.…I am a Machine Learning Engineer and Data Scientist with 4 years of experience building scalable ML systems, data pipelines, and AI-driven applications across public sector and industry environments. I enjoy turning complex problems into practical, production-ready solutions. I have strong expertise in Python, PySpark, and distributed data processing, with hands-on experience in Generative AI, LLM integration, and cloud-based deployments on AWS. I design end-to-end ML workflows, optimize large-scale data systems, and translate business needs into impactful, production-ready solutions.

Jahnavi Kolli

Data Scientist, AI Engineer, AI Strategy Consultant, +1

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I am a Machine Learning Engineer and Data Scientist with 4 years of experience building scalable ML systems, data pipelines, and AI-driven applications across public sector and industry environments. I enjoy turning complex problems into practical, production-ready solutions. I have strong expertise in Python, PySpark, and distributed data processing, with hands-on experience in Generative AI, LLM integration, and cloud-based deployments on AWS. I design end-to-end ML workflows, optimize large-scale data systems, and translate business needs into impactful, production-ready solutions.…I am a Machine Learning Engineer and Data Scientist with 4 years of experience building scalable ML systems, data pipelines, and AI-driven applications across public sector and industry environments. I enjoy turning complex problems into practical, production-ready solutions. I have strong expertise in Python, PySpark, and distributed data processing, with hands-on experience in Generative AI, LLM integration, and cloud-based deployments on AWS. I design end-to-end ML workflows, optimize large-scale data systems, and translate business needs into impactful, production-ready solutions.

Available to hire

I am a Machine Learning Engineer and Data Scientist with 4 years of experience building scalable ML systems, data pipelines, and AI-driven applications across public sector and industry environments. I enjoy turning complex problems into practical, production-ready solutions.

I have strong expertise in Python, PySpark, and distributed data processing, with hands-on experience in Generative AI, LLM integration, and cloud-based deployments on AWS. I design end-to-end ML workflows, optimize large-scale data systems, and translate business needs into impactful, production-ready solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Scientist at Swiggy

January 1, 2022 - May 1, 2023

Developed ML models for demand forecasting and customer behavior analysis using Python and statistical techniques; optimized ETL pipelines using SQL and distributed data processing frameworks; built dashboards and reporting solutions to communicate insights to stakeholders; collaborated with cross-functional teams to translate insights into action and operational improvements.

Machine Learning Engineer at Arizona State University

January 1, 2024 - December 1, 2024

Built scalable data pipelines using Python and PySpark, processed large-scale datasets with optimized Spark transformations; deployed ML models for classification and predictive analytics using Scikit-learn and MLflow; designed end-to-end ML workflows including feature engineering, model training, evaluation, and deployment pipelines; integrated dashboards with Power BI to deliver real-time insights to stakeholders; applied MLOps practices including automated testing, monitoring, and CI/CD for reliable model deployment; collaborated with cross-functional teams to translate business and operational requirements into scalable ML solutions.

Data Scientist at OLA Electric

July 1, 2020 - January 1, 2022

Designed and implemented scalable ML systems using Python, PySpark and distributed data processing; built backend services and REST APIs using FastAPI to serve ML models in production environments; deployed microservices using Docker and AWS ECS/Fargate ensuring scalability and low-latency inference; integrated LLM APIs and Generative AI workflows for intelligent automation and decision systems; implemented CI/CD pipelines and MLOps workflows for model deployment, monitoring, and retraining; optimized data pipelines and inference systems reducing latency and improving performance.