Siritha Chidipothu

Hello, I'm

Siritha Chidipothu

Welcome to my work. Let's build something exceptional together.

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About

Hi, I’m Siritha. Hi, I'm Siritha. I'm a Research Assistant at Rutgers and a highly versatile Data and ML/NLP Engineer. I focus on building practical, high-impact intelligent systems with clean engineering and clear storytelling, allowing me to successfully execute projects from concept to deployment.

  • Approach Bridging advanced academic ideas with production-ready engineering.
  • Core Expertise End-to-End ML/NLP pipeline: robust data prep → modeling → rigorous evaluation → simple deploy (FastAPI/Docker).
  • Research Focus Multilingual NLP, Retrieval-Augmented Generation (RAG), and Agentic AI systems.
  • Value Clear storytelling for stakeholders to understand impact and methodology.
  • In short I build practical ML/NLP projects with clean engineering and clear communication.

Education

MS Data Science (Statistics) — Rutgers University

Experience

Data Analyst, ML projects, MLOps basics

Location

New Jersey, USA

Interests

Code-mixed NLP, RAG, agents

Projects

Credit Risk Model cover

Credit Risk Model

Feature engineering + RF/XGBoost with realistic metrics and SHAP explainability.

PythonsklearnXGBoost
Source Code →
Code-Mixed NER cover

Code-Mixed NER

mBERT/XLM-R fine-tuning for named entities on EN–ES social text.

NLPmBERTHuggingFace
Source Code →
Customer 360° Banking Dashboard

Customer 360° Banking Dashboard

End-to-end data engineering pipeline integrating customer demographics, transactions, and marketing data to create a unified 360° view for actionable insights.

ETLSQLPythonDashboard
Source Code →
Financial Transaction Monitoring System 2025

Financial Transaction Monitoring System

Real-time fraud detection pipeline using PostgreSQL, FastAPI, and ML models to flag suspicious transactions and enhance financial security.

FastAPIPostgreSQLMLFraud Detection
Source Code →
Lung Disease cover

Lung Disease Detection

YOLO/EfficientNet for TB vs Pneumonia; FastAPI inference.

CVYOLOFastAPI
Source Code →

Research

Societal Impacts and Public Perception of Chatbots

ResearchGate Preprint, 2025

Siritha Chidipothu, et al.

ChatbotsAI EthicsSocietal Impact
View Full Text

Skills

Programming & Data

🐍
Python
🗃️
SQL
📦
Pandas
🧮
NumPy

Modeling & ML

🧠
scikit-learn
🚀
XGBoost
⚙️
TensorFlow / PyTorch
🧩
Feature Engineering

Data Engineering

🏗️
ETL Pipelines
🐘
PostgreSQL
🔄
Airflow / Prefect
☁️
AWS / GCP

Analytics & Visualization

📊
Power BI / Tableau
📉
Matplotlib / Seaborn
📈
Statistical Modeling
🧾
Excel / Sheets

Workflow & MLOps

🧩
Git / GitHub
⚡
FastAPI
🐳
Docker
🧪
Experiment Tracking

Tools & Platforms

Git
Git
Jupyter
Jupyter
VS Code
VS Code

Contact

Feel free to reach out to me for any questions or opportunities!

📍
Location
New Jersey, USA
# Python ML Code Sample
  from sklearn.model_selection import train_test_split
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.datasets import load_iris
  from sklearn.metrics import accuracy_score
  
  X, y = load_iris(return_X_y=True)
  Xtr, Xte, ytr, yte = train_test_split(X, y, test_size=0.25, random_state=42)
  m = RandomForestClassifier(n_estimators=200, random_state=42).fit(Xtr, ytr)
  print("Accuracy:", accuracy_score(yte, m.predict(Xte)))