Nathaniel Yang
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Nathaniel Yang Email & Phone Number

Student of University of Illinois Urbana Champaign
Location: United States 6 work roles 2 schools
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Student of University of Illinois Urbana Champaign
Location
United States

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Nathaniel Yang is listed as Student of University of Illinois Urbana Champaign based in United States. AeroLeads shows a matched LinkedIn profile for Nathaniel Yang.

Nathaniel Yang previously worked as Data Analyst at Chn Energy Investment Group Co.,Ltd and Data Analyst at Aifinsphere Inc.. Nathaniel Yang holds Bachelor'S Degree, Information Science + Data Science (Stem), 3.9/4.0 from University Of Illinois Urbana-Champaign.

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About Nathaniel Yang

Hello! I'm Nathaniel Yang, a passionate Senior data science student with a keen interest in the transformative power of data analysis. My academic journey has been marked by a deep fascination with the potential of data to inform decisions and shape business strategies. Through my coursework, I've developed a robust foundation in data processing, honing my skills in Python and R to tackle various data challenges. My enthusiasm for data science extends beyond the classroom. I actively seek out opportunities to apply my skills in real-world scenarios, constantly exploring new methodologies and tools to enhance my capabilities. Whether it's through internships, projects, or collaborative research, I strive to leverage data in innovative ways to provide actionable insights and drive meaningful change. My goal is to continue growing as a data science professional, contributing to data-driven solutions that address complex problems and create value in dynamic business environments.

6 roles

Nathaniel Yang work experience

A career timeline built from the work history available for this profile.

Data Analyst

Beijing, China

-Analyzed 2M records of energy consumption and efficiency data from 7 northern provinces, aiming to reduce cost-Utilized Python and SQL, in collaboration with supervisors and colleagues, to manage datasets-Applied Pandas and NumPy for data cleaning and preprocessing, eliminating duplicates, imputing missing values, and standardizing formats, resulting in a consolidated dataset of 1 million records-Created correlation heatmaps with Matplotlib and Seaborn, revealing a 15% increase in… Show more -Analyzed 2M records of energy consumption and efficiency data from 7 northern provinces, aiming to reduce cost-Utilized Python and SQL, in collaboration with supervisors and colleagues, to manage datasets-Applied Pandas and NumPy for data cleaning and preprocessing, eliminating duplicates, imputing missing values, and standardizing formats, resulting in a consolidated dataset of 1 million records-Created correlation heatmaps with Matplotlib and Seaborn, revealing a 15% increase in energy use-Developed SQL queries to extract and aggregate 500,000 data points, identifying a 12% average rise in energy consumption during high-temperature periods, supporting energy-saving decisions-Built 10+ interactive Tableau dashboards to present findings, leading to an estimated annual cost reduction of 8%-Worked closely with the team, providing regular updates and refining analysis methods based on feedback Show less

Jun 2024 - Aug 2024

Data Analyst

New York, United States

-Conducted a thorough evaluation of 5 sentiment analysis platforms based on criteria such as API access, cost, ease of use, limitations, and data accuracy, selecting Polygon.io as the optimal choice-Implemented NLP-driven sentiment analysis using Python; performed basic analysis on 20,000 financial news with TextBlob and detailed analysis on 10,000 social media comments using VADER (NLTK tool)-Applied data normalization using MinMaxScaler from Sklearn.preprocessing, scaling data to a… Show more -Conducted a thorough evaluation of 5 sentiment analysis platforms based on criteria such as API access, cost, ease of use, limitations, and data accuracy, selecting Polygon.io as the optimal choice-Implemented NLP-driven sentiment analysis using Python; performed basic analysis on 20,000 financial news with TextBlob and detailed analysis on 10,000 social media comments using VADER (NLTK tool)-Applied data normalization using MinMaxScaler from Sklearn.preprocessing, scaling data to a range of 0 to 1-Compared sentiment analysis results with historical market data and used SciPy for statistical tests to validate-Documented code and created an IPython notebook with 15 examples, showcasing data visualization results Show less

May 2024 - Jul 2024

Data Analyst

Beijing, China

-Processed and analyzed 10 million customer orders via Python, categorized customers into two segments-Performed customer segmentation analysis on 500,000+ rows using SQL queries, classifying customers by order value, demographics, and region; developed targeted marketing strategies based on customer insights -Implemented sales strategies in provinces with the highest number of segments, achieving a 46.9% sales increase-Created reports and dashboards visualizing location, sales… Show more -Processed and analyzed 10 million customer orders via Python, categorized customers into two segments-Performed customer segmentation analysis on 500,000+ rows using SQL queries, classifying customers by order value, demographics, and region; developed targeted marketing strategies based on customer insights -Implemented sales strategies in provinces with the highest number of segments, achieving a 46.9% sales increase-Created reports and dashboards visualizing location, sales percentages, sales median, regional distribution, customer age, and consumption amount, aiding data-driven marketing-Enhanced data cleaning and preprocessing workflows and SOPs to ensure dataset accuracy and consistency Show less

Oct 2023 - Dec 2023

Research Assistant

Champaign, Illinois, United States

Context, Memory, Forgetting Lab-Conducted research on the influence of context on episodic memory under Dr. Lili Sahakyan’s supervision, focusing on how memory formation settings impact recall-Utilized eye-tracking equipment to study eye movements, a sensitive marker of memory, to differentiable between incidental and intentional forms of forgetting -Recorded and analyzed detailed eye-movement data, using Python libraries for data cleaning and handling missing values, removing… Show more Context, Memory, Forgetting Lab-Conducted research on the influence of context on episodic memory under Dr. Lili Sahakyan’s supervision, focusing on how memory formation settings impact recall-Utilized eye-tracking equipment to study eye movements, a sensitive marker of memory, to differentiable between incidental and intentional forms of forgetting -Recorded and analyzed detailed eye-movement data, using Python libraries for data cleaning and handling missing values, removing outliers, and performing feature engineering (e.g. counting and averaging fixations)-Created visualizations using Matplotlib and Seaborn to facilitate data interpretation and present to lab members Show less

Aug 2023 - Dec 2023

Research Assistant

Wuxi, Jiangsu, China

Image Analysis and Machine Vision Lab-Engaged in Machine Vision research at Jiangnan University's Image Analysis and Machine Vision Lab under Dr. Xiaoning Song, focusing on digital image processing and analysis.-Acquired expertise in Yolo theory and techniques, applying them to digital image analysis and enhancing model performance through extensive simulations.-Achieved a 94% success rate in digital recognition by continuously optimizing the Yolo model, demonstrating significant… Show more Image Analysis and Machine Vision Lab-Engaged in Machine Vision research at Jiangnan University's Image Analysis and Machine Vision Lab under Dr. Xiaoning Song, focusing on digital image processing and analysis.-Acquired expertise in Yolo theory and techniques, applying them to digital image analysis and enhancing model performance through extensive simulations.-Achieved a 94% success rate in digital recognition by continuously optimizing the Yolo model, demonstrating significant improvements in accuracy and reliability. Show less

May 2023 - Jul 2023

Business Analyst Intern

Shanghai, China

-Developed sales reports for products using Excel, organizing and analyzing data from over 15K customer records-Employed Pivot Tables and advanced formulas to create 20+ dynamic reports, calculating sales, totals, and trends-Conducted satisfaction surveys with 500+ customers, analyzing feedback to highlight areas for improvement -Identified and documented 50+ data discrepancies, proposing solutions that improved data accuracy by 15%-Created visual dashboards and presentations… Show more -Developed sales reports for products using Excel, organizing and analyzing data from over 15K customer records-Employed Pivot Tables and advanced formulas to create 20+ dynamic reports, calculating sales, totals, and trends-Conducted satisfaction surveys with 500+ customers, analyzing feedback to highlight areas for improvement -Identified and documented 50+ data discrepancies, proposing solutions that improved data accuracy by 15%-Created visual dashboards and presentations using Excel and PowerPoint to illustrate sales metrics and feedback Show less

Jul 2020 - Aug 2020
2 education records

Nathaniel Yang education

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What is Nathaniel Yang's role at their current company?

Nathaniel Yang is listed as Student of University of Illinois Urbana Champaign.

Where is Nathaniel Yang based?

Nathaniel Yang is based in United States.

What companies has Nathaniel Yang worked for?

Nathaniel Yang has worked for Chn Energy Investment Group Co.,Ltd, Aifinsphere Inc., Bytedance, University Of Illinois Urbana-Champaign, and Jiangnan University.

How can I contact Nathaniel Yang?

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What schools did Nathaniel Yang attend?

Nathaniel Yang holds Bachelor'S Degree, Information Science + Data Science (Stem), 3.9/4.0 from University Of Illinois Urbana-Champaign.

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