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Регистрация: 23.07.2025

Vinod Nithin Kumar Rachakonda

Специализация: Data Analyst
— Machine Learning on Google Cloud Specialization by Google Cloud (via Coursera) May 2025. Trained in scalable ML pipeline deployment using Vertex AI, BigQuery, and AutoML with focus on GCP MLOps. — GenAI 360: Foundational Model Certification by Activeloop May 2025. Trained in deploying RAG pipelines using LangChain and LlamaIndex with focus on prompt engineering. — Docker, Kubernetes & AWS with GitHub Actions for DevOps by Udemy Jun 2025. Built practical skills in Docker and Kubernetes workflows including containerization and CI/CD pipelines. — Learn Go (Golang) by Google Jun 2025. Gained hands-on experience with Go programming, including variables, control flow, structs, and concurrency.
Deep Learning Machine Learning Tableau Python PyTorch Tensorflow pandas Matplotlib SQL MySQL PostgreSQL R
— Machine Learning on Google Cloud Specialization by Google Cloud (via Coursera) May 2025. Trained in scalable ML pipeline deployment using Vertex AI, BigQuery, and AutoML with focus on GCP MLOps. — GenAI 360: Foundational Model Certification by Activeloop May 2025. Trained in deploying RAG pipelines using LangChain and LlamaIndex with focus on prompt engineering. — Docker, Kubernetes & AWS with GitHub Actions for DevOps by Udemy Jun 2025. Built practical skills in Docker and Kubernetes workflows including containerization and CI/CD pipelines. — Learn Go (Golang) by Google Jun 2025. Gained hands-on experience with Go programming, including variables, control flow, structs, and concurrency.
Deep Learning Machine Learning Tableau Python PyTorch Tensorflow pandas Matplotlib SQL MySQL PostgreSQL R

Скиллы

Python
SQL
R
Tableau
Machine Learning
Deep Learning
PostgreSQL
MySQL
Matplotlib
Pandas
Tensorflow
PyTorch

Опыт работы

Data Science Fellow
с 07.2025 - По настоящий момент |Chicago Education Advocacy Cooperative
NLP, RAGs, LLMs
● Building an LLM-powered explainer tool using RAGs to extract and simplify Medicaid/SNAP policy updates into multilingual summaries, improving benefits access for underserved communities. ● Developing a caseworker co-pilot to support staff in summarizing beneficiary case notes and prioritizing outreach using NLP pipelines and synthetic case simulations, reducing administrative burden in public benefit programs.
Data Science Intern
03.2025 - 05.2025 |Clark University
Python, SQL, XGBoost, ANN
● Analyzed Privacy-compliant data from 50,000+ students to identify key retention patterns using Python and SQL. ● Engineered machine learning pipelines to predict student outcomes with AUC up to 0.93, informing policy decisions. ● Collaborated across academic and technical teams to translate exploratory findings into actionable recommendations. ● Documented the complete analytical workflow including data preparation, modeling, and ethical safeguards and co-authored a research paper to enable reproducibility and adoption by other higher education institutions.

Образование

Data Analytics (Магистр)
2023 - 2025
Clark University
Aerospace Engineering (Бакалавр)
2018 - 2022
Indian Institute of Space Science and Technology

Языки

АнглийскийПродвинутыйХиндиРодной