Larry Niu
Beijing, China
Actively participated in the project of "Forward Visual Perception Performance Requirements and Test Methods for Intelligent Connected Vehicle Driving Distance Systems".
Employed Horizon Robotics data system to analyze front-camera video footage for autonomous driving, and extracted valuable feature data.
Implemented SQL for data cleaning, resulting in a 25% reduction in noise within the dataset and a 30% improvement in data accuracy.
Streamlined processing workflows using Python os scripts, effectively doubling file input efficiency from manual to script-based inputs.
Enhanced parameters of front-view cameras used in automated driving systems through dataset refinement, resulting in a notable 4% increase in accuracy. Email: ************@*****.***
Phone: 347-***-****
Location:1700 Park Ave, Weehawken, NJ 07086
SUMMARY
Master of Science in Management and Systems (MASY) with a spexialised in Professional Database Concentration. Equipped with a diverse and promising skill set. Proficient in SQL, Python, Excel, SPSS, PowerBI, coupled with extensive experience in data cleaning and analysis. Able to effectively innovate and solve problems during independent projects, as well as collaborate in a team setting. New York, NY
EDUCATION
New York University
Master of Science, Management and Systems Sep.2022– Jun.2024
GPA: 3.9/4.0
Main Courses: Database Design & Management, Data Mining and Data Warehousing, Quantitative Models for Decision-Makers, Information Technology&Data Analytics, Advanced Database Applications. Beijing, China
Sep.2018– Jun.2022
Capital Normal University
Bachelor of Science, Electronic Business
GPA: 3.5/4.0
Main Courses: Data Analysis and Mining, Database Principle and Application, Business and Economic Statistics, Statistics, Probability Theory and Statistic, Data Structure, Lab for Computer Networking Principle, etc. WORK EXPERIENCE
1
Homming Pet LLC
Sales Data Analytics Intern
increase in sales performance.
Actively engaged in the project focused on product sales and competitive analysis for Homming Pet LLC. Leveraged Python to collect and clean extensive sales data from multiple sources, achieving a 20% reduction in noise and a 15% improvement in data accuracy.
Developed and implemented ETL processes to efficiently transform raw data into a unified, actionable dataset, streamlining the analysis process.
Utilized PowerBI to create dynamic dashboards and reports, which enabled the management team to gain valuable insights and make data-driven decisions.
Collaborated with cross-functional teams to refine sales strategies, contributing to an overall Remote,US
May.2024–
Horizon Robotics
Data analysis internship
Present
National Population Health Data Centre Beijing, China Data Cleaning and Analysis Intern Jul.2021–Nov.2021
Employed SPSS to clean data regarding the psychological developmental characteristics of Chinese children and adolescents, addressing missing values and outliers. Successfully imputed 15% of missing data and eliminated 8% of outliers, resulting in a significant 20% enhancement in data reliability.
Utilized SPSS descriptive statistics to refine the cleaned dataset, facilitating a comprehensive comparison of China's youth data before and after the decade. TECHNICAL SKILLS
Programming languages SQL (Proficient) Python (Proficient)
Data Analysis ETL (Proficient),PySpark,AWS,SPSS,Excel, Power BI 2