About me

Sai Surya Cherupally

I'm a Data Scientist and AI/ML engineer pursuing my Master's in Data Science and Analytics at Florida Atlantic University with a perfect 4.0 GPA.

With a strong foundation in machine learning, data pipelines, and AI-powered applications, I turn raw data into real-world impact through research, mentorship, and hands-on projects.

what I can do for you

As a Data Scientist, I build ML models, data pipelines, AI-powered tools, and interactive dashboards that solve real problems and drive data-driven decisions.

1. Machine Learning

Predictive modeling and classification

Deep learning with TensorFlow and PyTorch

Model evaluation, tuning, and optimization

End-to-end ML pipeline development

2. Data Analysis & Visualization

Exploratory data analysis (EDA)

Interactive dashboards with Tableau and Power BI

Statistical analysis and hypothesis testing

Data storytelling and reporting

3. AI & NLP Applications

LLM integration and RAG pipeline development

Natural language processing with spaCy and LangChain

Resume matching and classification systems

OCR and document intelligence

4. Cloud & Data Engineering

AWS Lambda, S3, and SageMaker pipelines

RESTful API integration and deployment

Data ingestion and transformation workflows

Scalable ML model deployment on cloud

Discover My Journey in Data Science

From curious student to AI/ML engineer, my path has been shaped by a passion for turning data into insights — blending research, mentorship, and real-world engineering into every project.

Vice President

PACE Club, Florida Atlantic University

Jan 2025 - Present

SQL Mentor

PACE Orbit, Florida Atlantic University

Feb 2025 - Present

Academic Program Assistant

Guru Nanak Institute of Technology (GNIT)

Aug 2022 - Apr 2023

Master's Student — Data Science & Analytics

Florida Atlantic University

Aug 2024 - May 2026

My Tech Stack

I build with intention. Python and SQL for data wrangling. TensorFlow and PyTorch for deep learning. AWS for scalable pipelines. Each tool supports how I think and engineer.

Python

My primary language for data science, ML modeling, automation, and building AI-powered applications end-to-end.

TensorFlow & PyTorch

My go-to deep learning frameworks for training neural networks, building predictive models, and experimenting with AI research.

AWS (S3, Lambda, SageMaker)

Cloud infrastructure I rely on for scalable ML pipelines, secure data storage, and model deployment in production.

Tableau & Power BI

My tools for building interactive dashboards and communicating data insights clearly to stakeholders.

LangChain & spaCy

My NLP and LLM toolkit for building intelligent applications, RAG pipelines, and natural language interfaces.

Build with Data and Precision

My process blends rigorous data analysis with creative problem-solving to address challenges, build intelligent models, and deliver solutions that drive measurable impact.

01.

Data Collection & Research

I start by understanding the problem deeply — gathering datasets, defining KPIs, and researching domain context to build a clear analytical foundation.

02.

Exploration & Modeling

I explore data through EDA, engineer features, and experiment with ML models — from classical algorithms to deep learning — to find the best solution.

03.

Evaluation & Iteration

I rigorously evaluate models using metrics and cross-validation, gather feedback, and iterate to improve accuracy, generalization, and reliability.

04.

Visualization & Insights

I translate model outputs into clear dashboards and visual reports using Tableau and Power BI so stakeholders can make data-driven decisions confidently.

05.

Deployment & Delivery

I deploy models and pipelines to cloud infrastructure (AWS Lambda, SageMaker, S3), ensuring scalability, reliability, and long-term maintainability.

Let's work together

Let's build something impactful together — whether it's a data pipeline, an ML model, a research collaboration, or your next big idea.