A passionate Data Scientist & GIS/AI Engineer building scalable ML systems and geospatial analytics.
(Machine Learning | Geospatial AI | Real Estate Tech | Transfer Learning)
Currently building AI-powered real estate platforms at Syndnet and working on synthetic population models at the RUCI Lab. Open to connect for interesting opportunities! π
- π Master's in Data Science at Rutgers University
- π’ Currently: GIS/AI Engineer at Syndnet & ML Analyst at Rutgers Urban & Civic Informatics Lab
- β‘ Previously: Data Scientist at Google, built ML pipelines for smartphone product analytics
- π¬ Ask me about: Transfer learning, geospatial ML, multi-agent systems, or real estate tech
- π± Exploring: Multi-agent AI architectures and synthetic data generation
- π« Reach me: Email | LinkedIn
- π Website: Portfolio
| Company | Role | Focus |
|---|---|---|
| Syndnet | GIS/AI Engineer | Building ScoutGPT - AI-powered property scout for off-market real estate with geospatial data processing and ML matching algorithms π |
| Rutgers Urban & Civic Informatics Lab | ML Analyst | Developed transfer learning framework for remote work prediction using federal datasets across multiple states πΊοΈ |
| Google via DKSH Smollan | Data Scientist | Built data pipelines and sentiment analysis models for smartphone products across global markets π± |
For more details, check out my pinned projects! π
π Full Tech Stack
- Languages: Python, SQL, R, JavaScript
- ML & AI: XGBoost, PyTorch, TensorFlow, HuggingFace, Transfer Learning
- Geospatial: PostGIS, GeoPandas, Apache Spark, Mapbox
- Cloud & DevOps: Google Cloud, AWS, Docker, FastAPI
- π¦ Deep RL for Traffic Control - IEEE TENSYMP 2023
- π Deep RL for Stock Trading : Inclusion of Short Selling - ISMIS 2022
class DataScientist:
def __init__(self):
self.name = "Arpan Nookala"
self.current_work = ["ScoutGPT", "Synthetic Population Models"]
self.interests = ["Geospatial AI", "Multi-Agent Systems", "Real Estate Tech"]
self.fun_fact = "I turn complex data into actionable insights! πβ¨"
def say_hi(self):
print("Thanks for dropping by! Let's build something amazing together! π")
me = DataScientist()
me.say_hi()