- π» Iβm a Machine Learning, Data Analytics and Site Reliability professional with 7+ years of technology experience.
- π’ I previously worked at Xtelify (Bharti Airtel) and Infosys, building and supporting large-scale production and data systems.
- π I won 1st place at the ODSC AI x Zerve Datathon by building a product-upgrade prediction system using 3.5 million rows of data.
- π€ I built and deployed production RAG and LLM solutions using vLLM and Milvus.
- βοΈ I scaled Apache Airflow for 500+ users and worked with Kubernetes, OpenShift, Docker, CI/CD and observability technologies.
- π Iβm interested in product analytics, customer behavior, statistical modeling, machine learning and data visualization.
- π My projects include product-funnel analytics, global life-expectancy regression and an intelligent service-reliability platform.
- π Iβm pursuing an M.S. in Data Analytics at Clark University, graduating in December 2026.
- π« Reach me by email, connect with me on LinkedIn or read my articles on Medium.
- Boston, MA
-
16:49
(UTC -04:00) - in/aakashbalyan
- https://medium.com/@abalyan2395
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product-upgrade-intelligence
product-upgrade-intelligence Public1st-place ODSC AI x Zerve Datathon solution using leakage-safe feature engineering, nine-stage funnel analytics and LightGBM upgrade prediction.
Python
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global-life-expectancy-regression
global-life-expectancy-regression PublicReproducible R analysis of global life expectancy using multiple linear regression, model selection, diagnostics, and robust methods.
R
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socialquest-ai
socialquest-ai PublicAI-powered social-skills practice platform with interactive scenarios, emotional-regulation activities and educator progress tools.
TypeScript
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cnn-gradcam-cifar10
cnn-gradcam-cifar10 PublicCNN architecture comparison on CIFAR-10 with a manual PyTorch Grad-CAM implementation for visualizing class-specific image regions, supported by verified checkpoint evaluation.
Python
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