Daman Heer

® https://damehero.github.io Q adkan6@r.postjobfree.com in/damanheer

Education

+

University of California, San Diego

B.S. Cognitive Science – Machine Learning and Neural Computation, Expected: June 2022 Honors: Provost Honors (Winter - Spring 2020), GPA 3.6/4.0 Coursework: Machine Learning Algorithms, Data Science in Practice, Probability & Statistics Technical Skills: Python (Pandas, Numpy, Scikit-Learn, PyTorch, Tensorflow) Java, R, SQL, Dart Experience

+

Machine Learning for Social Science Lab (MSSL)

Undergraduate Research Assistant November 2020 - Present

One of four undergraduate RAs from MSSL at the Center for Peace and Security Studies (cPASS) at UC San Diego.

Conducted large-scale data analyses of political science data sets in contribution to the publishing of academic research papers.

Currently performing NLP and text-parsing of historical documents to extract semantic meaning and identify chronological events.

+

Qualcomm Institute at UC San Diego

Data Science Research Intern September 2020 - January 2021

Assisted a team of Caltrans engineers and QI researchers in using live-feed highway data to predict and optimize traffic flow.

Implemented a Kalman particle filter in Python to simulate the simultaneous movement and physics of thousands of vehicles.

Wrote scripts to pull camera data from multiple California highway locations into particle filter prediction model.

+

developerDB

Python Developer Intern June 2020 - August 2020

Assisted with data engineering on a feature product used by tech recruiters from Amazon, Uber, and Yahoo.

Wrote iterative Python scripts to parse through millions of raw data points scraped directly from sites such as LinkedIn.

Utilized keys for classification and tagging to identify incorrect and badly formatted data. Projects

+

Mood Cube (IEEE QP Fall 2019 1st Place)

github.com/damehero/MoodCube September 2019 - December 2019

Worked with a team to develop an Android application which takes color input from the user and uses an SVM to generate curated music playlist using YouTube API and Google’s Flutter framework.

Built components of the app interface, helped develop the SVM for the recommender algorithm.

+

STEM Career Salary Predictor

github.com/damehero/StreamlitApp June 2020 - August 2020

Web Scraped 3000 Software Engineering, Data Science, and Design job postings from Glassdoor.com and performed data analysis.

Used Scikit-Learn Random Forest Regressor to create a machine learning model to predict various salaries based on job skills.

Productionized data analysis and predictor model by building a web app in Python using the Streamlit library.

+

Movement Disorder

github.com/TritonXR/Disorder January 2020 - March 2020

A VR application containing multiple activities/tests to quantitatively assess movement abnormalities symptomatic of early Parkinson’s Disease. Comparable performance with clinical and molecular imaging methods for prediction of progression in early PD.

Helped to debug various tests found in C scripts using the Unity game engine. Leadership

+

Triton Athlete Council (TAC)

Student Athlete Advisory Council Representative September 2019 - Present

As a member of UCSD’s NCAA Division 1 Men’s Fencing Team, I am the team representative at student-athlete advisory meetings.

I relay academic assistance programs to team, help organize community outreach events as well as conduct fundraising.

Contact this candidate