Pragatheesvaran A B

ABOUT_ME

Passionate AI/ML Engineer with strong foundation in machine learning, statistical analysis, and model deployment. Experienced in real-world projects involving NLP, forecasting, and data-driven decision making.

EDUCATION.EXE

B.Tech in Artificial Intelligence and Machine Learning

Saveetha Engineering College, Chennai

2021 – 2025 | CGPA: 7.22/10

CERTIFICATIONS.EXE

Google IT Support – Google, 2023
Crash Course on Python – Google, 2023
Microsoft Power BI Data Analyst – 2025
BCG Data Science Virtual Internship

SKILLS.EXE

PROGRAMMING_LANGUAGES

Python

90%

SQL

85%

75%

60%

ML/DL_FRAMEWORKS

TensorFlow

85%

PyTorch

80%

scikit-learn

90%

BERT/NLP

85%

TOOLS_&_TECH

Power BI

85%

Git

80%

Docker

70%

Apache Spark

75%

PROJECTS.EXE

DEMAND_FORECASTING

ACTIVE

# Loading retail data... model = XGBoost() # Training model...

Developed a scalable forecasting pipeline using PySpark to predict product demand from retail sales data with XGBoost and Random Forest models.

PySpark XGBoost Random Forest Power BI

TAMIL_NLP_ANALYSIS

COMPLETED

# BERT model loading... sentiment = analyze(text) # Tamil processing...

Built and fine-tuned a BERT-based NLP model to classify sentiments in Tamil-language articles using Hugging Face Transformers.

BERT Hugging Face Flask NLP

CKD_DETECTION

DEPLOYED

# Healthcare data... predict_disease() # ML Classification...

Implemented classification models with scikit-learn on clinical patient datasets, focusing on feature selection and hyperparameter tuning.

scikit-learn Python Healthcare Data

WEATHER_FORECASTING

ACTIVE

# Time series data... forecast = ARIMA() # Prophet model...

Used time-series forecasting techniques with ARIMA and Prophet to predict future climate.

ARIMA Prophet Time Series

ML_DEMOS.EXE

SENTIMENT_ANALYZER

>>> sentiment_analyzer.py

MODEL_PERFORMANCE

EXPERIENCE.LOG

JAN-FEB 2023

INTERN

Axias Global Automation Group

Conducted operational analytics and contributed to optimization reports
Gained exposure to automation systems and data flow pipelines

2025

INPLANT_TRAINING

Data Analytics

Hands-on experience with Excel for data transformation, analysis, and visualization
Built sample dashboards and statistical models for retail datasets

ONGOING

ACHIEVEMENTS.EXE

Completed JPMorgan Chase Software Engineering Virtual Program (Forage)
Organized technical events at DRESTIN, Saveetha Engineering College
Directed team for Tamil NLP-based sentiment project using Hugging Face Transformers