Niharika Sharma  | 

 Graduate Student at University of Washington
Overview Writings

Hi! I'm Niharika Sharma

I am a Graduate Student at University of Washington, pursuing MS in Data Science. I focus on building large number of data science solutions using cutting edge technologies and intelligent algorithms.

With over 2+ years of experience in Data Science and Software Development, I have major expertise in Data Analytics, Cloud Computing and Infrastructure, Database Management, Recommendation Engines and Big data Architectures. I always look forward to develop full-stack algorithmic and analytical solutions for a wide variety of data problems.

I have worked with data problems and analytics for various industries such as environment, security, transportation, healthcare, finance, academia and eCommerce. Get in touch with me by directly sending an email at nsharmauw@gmail.com, or connect with me on Linkedin

Research Interest

  • Data Science
  • Machine Learning
  • Big Data
  • Database Systems
  • Data Acquisition
  • Data analysis and visualization
  • Cloud Computing
  • Data Mining

Projects

Cost Analytics | Feb'14 - Feb'15
Tracked, predicted AWS cost using Predictive data analysis on billions of datasets. Recommended optimization strategies to efficiently use AWS Resources.
Use of Smart phone for Preliminary Diagnosis for Sleep Disorders (mSleep App) | Apr'15 - Jul'15
Diagnosis of sleep disorder using clinical data from sensors like airflow, pulserate etc and predictive machine learning algorithms.
Brand Analysis | Dec'15
Built analytical strategies & developed functional insights by discovering & analysing vast amount of data for different brands across the digital spectrum.
Finance App | Mar'16 - May'16
Developed a financial android application which studies the financial capabilities, spend patterns via analysing SMSes in android applications. Further, helps in tracking expenses and provide budget alerts and thresholds based on the analysis.

Distributed Mentoring in Online Fanfiction Communities | Sept'16 - Ongoing
Developing dynamic and interactive visualizations demonstrating distributed mentorship and statistical overview of FanFiction.net website by scraping stories, reviews, and associated metadata from fanfiction sites.
RESUME