Java程序辅导
C C++ Java Python Processing编程在线培训 程序编写 软件开发 视频讲解
C C++ Java Python Processing编程在线培训 程序编写 软件开发 视频讲解
Angikaar Singh Chana El Dorado Hills, CA 95762 • angikaar@ischool.berkeley.edu • linkedin.com/in/angikaar • (916) 812-7112 PROFILE • Seeking opportunities in Data Analytics, Artificial Intelligence, Machine Learning, and Data Science in the fields of Health & Life Sciences, Health Administration, and/or the Internet of Things. • Pursuing a Master in Information & Data Science at the University of California, Berkeley after graduating with two Bachelors in Data Science and Public Health. EDUCATION Cumulative Collegiate GPA: 3.80 Major GPA: 3.93 Upper-Division GPA: 4.00 School of Information, University of California, Berkeley Aug 2022 – Dec 2023 M.S., Information & Data Science Available to work part-time/full-time during M.S. program due to program’s part-time and remote nature. University of California, Berkeley Aug 2018 – May 2022 B.A., Data Science, Domain Emphasis in Human Biology B.A., Public Health Highlighted Coursework: Principles & Techniques of Data Science; Machine Learning; Data Mining & Analytics; Statistics, Quality Control, Forecasting; Biochemistry; Anatomy; Epidemiology; Health Policy Management AWARDS & HONORS • Half-Ride Scholarship to M.S. Program (2022): Sole recipient of the highest scholarship to the UC Berkeley School of Information’s M.S. Program, a $40,000 half-ride scholarship. • UC Berkeley’s Data Scholars Program (2019): Admitted into UC Berkeley’s Data Scholars Program, an honors program for underrepresented students in the data science industry, facilitating connections with pioneering UC Berkeley data science faculty and CXO’s from data-adjacent Fortune 100 companies. COMPUTING LANGUAGES • Python (advanced): numpy, pandas, seaborn, matplotlib, scipy.stats, sklearn • R (intermediate): tidyverse, dplyr, ggplot2 • C++/Java (intermediate) • SQL (novice) SPOKEN LANGUAGES • English, Hindi/Urdu (native proficiency) • Spanish, Punjabi (working proficiency) HIGHLIGHTED PROJECTS (click on title to access project) • Campaign Finance (2021, Bayesian/Causal Inference): Used pandas & sklearn to investigate the causal impact of campaign contributions and party endorsement on successful political campaigns after data cleaning. • Titanic Survivors (2021, Classifier ML): Used sklearn to create a classifier that determines whether Titanic passengers with specific characteristics would survive or not, with ~85% accuracy according to historical records. • Spam/Ham Classification (2020, Classifier ML): Used pandas & sklearn to create a classifier that determines whether emails are spam or not based on training data, with ~90% accuracy according to staff. • Build Your Own World (2020, OOP): Used Java to code an original game where a player runs from a monster while trying to grab cash and get to the next floor; incorporates randomization in map & object rendering. PRIOR EMPLOYMENT College of Chemistry, University of California, Berkeley Jun 2021 – May 2022 Undergraduate Student Instructor (UGSI) • Helped instruct the 500+-student Gen. Chem., Gen. Chem. Lab, and Organic Chem. Lab courses at UC Berkeley. • Independently supervised 125+ students across my discussions or labs, with a 97% “A” rate and 100% pass rate. • Analyzed grading data to determine trends about misunderstood material, communicated findings with the Professors and other UGSIs, and held Office Hours to supplement students’ understanding. Alameda County Public Health Department (ACPHD) Jan–May 2020 COVID-19 Emergency Response Team Member, DCDCP Intern • Interned with the ACPHD’s Department of Communicable Disease Control & Prevention (DCDCP). • Helped develop a secure internal database to trace COVID-19 cases and rank their risk. • Helped administer quarantine & other public health orders regarding COVID-19 in Alameda County. • Became certified to perform emergency vaccinations in Alameda County. * Information about my Research, Clinical, Volunteering, and Extra-Curricular Experience (~3 pages) may be requested via my CV.