I am a Data Scientist who is passionate about making use of data to its utmost potential by employing various techniques and strategies. Some technologies I enjoy working on are Python, Pyspark, MySql and Tableau. 🌱 I love learning new things and keeping in touch with the foundations, so theres a very high chance I'm going through something right now. I recently created an Interactive Map/POC for US-Ignite that lets small-businesses in Portland, Oregon identify the best locations for their industry based on socio-economic factors, pedestrian and vehicular count information.
Some interesting Projects I've worked on:
Fall 2019
- Predicting Prices of Houses in NYC based on their proximity to Transportation and Parks
- Analyzing CitiBike Ridership in Jersey City to suggest city officials for appropriate bike park stations and cycle lanes.
- Understanding the Affect of a Built Environment using Geospatial Clustering Techniques.
Spring 2020
- Building a recommender system using with ALS for the Goodreads Dataset
- Geospatial Matching and Indexing NYC Parking tickets without Lat and Long Information
- Predicting Pests in NYC houses using 311 call data, population information and building characteristics
Summer 2020
- Smart Monitor for Accelerating Regional Transformation (SMART)
- Analyzing New York City Traffic
📫 How to reach me: [email protected], https://www.linkedin.com/in/ram-sowmya-narayanan/
⚡ Fun fact: Huge fan of comedy podcasts!!! (My favorites are the Joe Rogan Experience, Flagrant 2 and Tigerbelly!!!!!)