Preety Rai

I am a Data Scientist AI/ML Engineer Software Engineer

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About Me

Data Scientist | AI/ML Engineer | NIT Allahabad

Having 3+ years of experience in Information Technology, specializing in Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Data Analysis, Data Visualization and Blockchain (web3) technology to tackle intricate business challenges. Enthusiastic about harnessing the power of technology to promote positive outcomes, e.g., innovation, efficiency.

For further information please do check my Portfolio

Services

Data Scientist 📊

I specialize in transforming complex data into clear, actionable insights. With a strong foundation in machine learning, statistical analysis, and data visualization, I help organizations make data-driven decisions that drive growth and efficiency. From predictive modeling to deep learning, I build scalable solutions that solve real-world problems. Passionate about storytelling through data, I bridge the gap between raw numbers and strategic value.

Turning Data into Business Impact

Full Stack AI/ML Engineer 🤖⚙️📊

Skilled in building scalable machine learning models and deploying AI-driven systems that solve real-world problems. With expertise across Python, TensorFlow, PyTorch, and cloud platforms, I specialize in transforming raw data into actionable insights. From predictive analytics to computer vision and NLP, I bring a research-driven yet product-focused approach to every project.

Turning Data into Intelligent Solutions

Skills And Expertise

Data Structure and Algorithm

LLM

Python

PyTorch

Tensorflow

Machine Learning

Deep Learning

Generative AI

NLP

Jupyter Notebook

Langchain

Langgraph

Exploratory Data Analysis (EDA)

Pandas

AWS

Google Cloud Platform

NumPy

Matplotlib

DVC

Flask

Kubernetes

Docker

MySQL

Power BI

GitHub

FastAPI

JavaScript

HTML/CSS

C++

Java

Rust

Node JS

Grafana

Prometheus

MongoDB

Airflow

MLflow

Comet ML

React JS

Postgres

GitHub Actions

Jenkins

Excel

Experience And Education

Experience

1. Data Scientist - (June 2024 - March 2025)

Zummit Infolabs

• Built Recommendation System using AI for ecommerce purpose.
• Implemented a Brain Tumour Detection Project using PyTorch (Deep Learning) which helps better predict the MRI Results of patients and also provides good accuracy.
• Built an app to compute the similarity of all methods in a codebase, reducing the time from O(n2) to O(n log n) .
• worked on ML and NLP projects such as plagiarism detection and Resume Screening Application, Speech to Text (Whisper) , E-Commerce Recommendation System etc.
• Buil RAG Chatbot for insurance company.
2. Data Scientist - (May 2024 - December 2024)

Chervic Advisory Services

• Performed projects on Discriminative AI and Generative AI technology.
• In Generative AI I particularly worked on technologies like LLM’s, RAG, Finetuning, Agents and various vector databases such as pinecone, FAISS, etc using Fast API, Flask etc to build full-stack Data Science projects such as Medical Chatbot and Ecommerce Chatbot that provided reliability to consumers and also saves time.
• Also contributed in projects involved in NLP (Transformers) for translation and sentment analysis and Computer Vision (YOLO).
3. Lead Software Engineer - (August 2023 - February 2024)

NeuroReef Labs

• Worked on projects involved in React js, Node js, mongo, postgres db etc and contributed in making a SaaS application MedAura.ai ( a health care application based on RAG) .
• developed a full stack application using MERN stack technologies for building company website. MedAura.ai application is provides search results based on recent research papers and upgradation in medical field.
4. Blockchain Developer - (December 2022- August 2023)

Spearmint Technologies

• Worked on defi smart contract on ethereum blockchain.
• And making a full stack blockchian application using next js frontend and ethereum backend.
5. Software Engineer - (October 2021 - November 2022)

Witzeal Technologies Private Limited

• Worked on Mobile Development using Android and React Native
• also contributed in api integration with UI.