Freelancer 로고
로그인 회원 가입
프로젝트 등록
탐색
Business Analysis
Finance
Logistics
Machine Learning (ML)
Software Development
프로필 배경 사진
를 팔로우 했습니다.
팔로우 서비스의 지정 과정에서 문제가 발생하였습니다.
이 사용자의 경우에는 다른 사용자들의 팔로우 서비스를 허용하지 않고 있습니다.
이 사용자에 대한 팔로우 서비스를 이미 이용하고 계십니다.
고객님의 현재 멤버십 등급으로는 0 건까지만 팔로우가 가능합니다. 멤버십 서비스의 업그레이드는 여기에서 하시면 됩니다.
성공적으로 언팔로우했습니다
팔로우 서비스에 대한 지정 해제 과정에서 문제가 발생하였습니다.
님에 대한 고객님의 추천 절차가 모두 완료되었습니다.
사용자 추천 과정에서 문제가 발생하였습니다.
원인을 알 수 없는 문제가 발생하였습니다. 현재의 페이지에서 다시 읽기 버튼을 클릭하신 후에 재시도하여 주시기 바랍니다.
이메일에 대한 인증 절차가 완료되었습니다.
사용자 아바타

Richard L.

@richardlevinson3

0.0
0
0.0
0.0
0%

Data Scientist | Machine Learning Engineer

$30 USD / 시간
・
국기 ()
United States (9:21 AM)
・
1월 7, 2025에 가입
$30 USD / 시간
・
I'm a Data Scientist with 5 years of experience in transforming complex datasets into actionable insights and building AI-powered solutions. - Passionate about solving challenging problems with data. - Skilled in machine learning, data visualization, and statistical modeling. - Master on Kaggle, constantly exploring new datasets and sharing projects. - Currently diving deeper into MLOps and deploying AI applications.
인증
Freelancer Financial Experts United States
Financial Experts 분야의 전체 프리랜서 확인 (대상 국가: United States)

포트폴리오

포트폴리오

12443392
The goal of this project is to provide insights into how different environmental factors and soil characteristics can influence crop suitability. The models used here can assist in making informed decisions about which crops are best suited for a particular region, based on historical data and observations.
Agricultural Land Suitability
The goal of this project is to provide insights into how different environmental factors and soil characteristics can influence crop suitability. The models used here can assist in making informed decisions about which crops are best suited for a particular region, based on historical data and observations.
Agricultural Land Suitability
The goal of this project is to provide insights into how different environmental factors and soil characteristics can influence crop suitability. The models used here can assist in making informed decisions about which crops are best suited for a particular region, based on historical data and observations.
Agricultural Land Suitability
12443375
Within this kernel we will analyse sales data of an US online retailer. As storage area may be expensive and fast delivery on time is important to prevail over the competition we like to help the retailer by predicting daily amounts of sold products.
E-Commerce Sales Forecast
Within this kernel we will analyse sales data of an US online retailer. As storage area may be expensive and fast delivery on time is important to prevail over the competition we like to help the retailer by predicting daily amounts of sold products.
E-Commerce Sales Forecast
Within this kernel we will analyse sales data of an US online retailer. As storage area may be expensive and fast delivery on time is important to prevail over the competition we like to help the retailer by predicting daily amounts of sold products.
E-Commerce Sales Forecast
12443332
In this project, I delve deep into the thriving sector of online retail by analyzing a transactional dataset from a UK-based retailer, available at the [UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/352/online+retail). This dataset documents all transactions between 2010 and 2011. My primary objective is to amplify the efficiency of marketing strategies and boost sales through __customer segmentation__. I aim to transform the transactional data into a customer-centric dataset by creating new features that will facilitate the segmentation of customers into distinct groups using the K-means clustering algorithm. This segmentation will allow us to understand the distinct profiles and preferences of different customer groups. Building upon this, I intend to develop a recommendation system that will suggest top-selling products to customers within each segment who haven't purchased those items yet, ultimately enhancing marketing efficacy and promoting increased sa
Customer Personality Analytics
In this project, I delve deep into the thriving sector of online retail by analyzing a transactional dataset from a UK-based retailer, available at the [UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/352/online+retail). This dataset documents all transactions between 2010 and 2011. My primary objective is to amplify the efficiency of marketing strategies and boost sales through __customer segmentation__. I aim to transform the transactional data into a customer-centric dataset by creating new features that will facilitate the segmentation of customers into distinct groups using the K-means clustering algorithm. This segmentation will allow us to understand the distinct profiles and preferences of different customer groups. Building upon this, I intend to develop a recommendation system that will suggest top-selling products to customers within each segment who haven't purchased those items yet, ultimately enhancing marketing efficacy and promoting increased sa
Customer Personality Analytics
12443392
The goal of this project is to provide insights into how different environmental factors and soil characteristics can influence crop suitability. The models used here can assist in making informed decisions about which crops are best suited for a particular region, based on historical data and observations.
Agricultural Land Suitability
The goal of this project is to provide insights into how different environmental factors and soil characteristics can influence crop suitability. The models used here can assist in making informed decisions about which crops are best suited for a particular region, based on historical data and observations.
Agricultural Land Suitability
The goal of this project is to provide insights into how different environmental factors and soil characteristics can influence crop suitability. The models used here can assist in making informed decisions about which crops are best suited for a particular region, based on historical data and observations.
Agricultural Land Suitability
12443375
Within this kernel we will analyse sales data of an US online retailer. As storage area may be expensive and fast delivery on time is important to prevail over the competition we like to help the retailer by predicting daily amounts of sold products.
E-Commerce Sales Forecast
Within this kernel we will analyse sales data of an US online retailer. As storage area may be expensive and fast delivery on time is important to prevail over the competition we like to help the retailer by predicting daily amounts of sold products.
E-Commerce Sales Forecast
Within this kernel we will analyse sales data of an US online retailer. As storage area may be expensive and fast delivery on time is important to prevail over the competition we like to help the retailer by predicting daily amounts of sold products.
E-Commerce Sales Forecast
12443332
In this project, I delve deep into the thriving sector of online retail by analyzing a transactional dataset from a UK-based retailer, available at the [UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/352/online+retail). This dataset documents all transactions between 2010 and 2011. My primary objective is to amplify the efficiency of marketing strategies and boost sales through __customer segmentation__. I aim to transform the transactional data into a customer-centric dataset by creating new features that will facilitate the segmentation of customers into distinct groups using the K-means clustering algorithm. This segmentation will allow us to understand the distinct profiles and preferences of different customer groups. Building upon this, I intend to develop a recommendation system that will suggest top-selling products to customers within each segment who haven't purchased those items yet, ultimately enhancing marketing efficacy and promoting increased sa
Customer Personality Analytics
In this project, I delve deep into the thriving sector of online retail by analyzing a transactional dataset from a UK-based retailer, available at the [UCI Machine Learning Repository](https://archive.ics.uci.edu/dataset/352/online+retail). This dataset documents all transactions between 2010 and 2011. My primary objective is to amplify the efficiency of marketing strategies and boost sales through __customer segmentation__. I aim to transform the transactional data into a customer-centric dataset by creating new features that will facilitate the segmentation of customers into distinct groups using the K-means clustering algorithm. This segmentation will allow us to understand the distinct profiles and preferences of different customer groups. Building upon this, I intend to develop a recommendation system that will suggest top-selling products to customers within each segment who haven't purchased those items yet, ultimately enhancing marketing efficacy and promoting increased sa
Customer Personality Analytics
변경 내역 저장 완료
0.0 · 0 Reviews
리뷰
여기에는 더 확인하실 만한 리뷰 건이 없습니다!
경험
Data Scientist
7월, 2019 - 12월, 2024
•
5 , 5
Sngular
7월, 2019 - 12월, 2024
•
5 , 5
- Improved predictive accuracy by 15% on a key recommendation engine project, increasing customer engagement rates by 20%. - Reduced data processing time by 30% by optimizing workflows and adopting cloud-based solutions like AWS S3 and Redshift. - Led a project to identify fraud patterns, saving the company over $500,000 annually through improved detection methods. - Presented findings at internal and external data science forums, enhancing WonderDATA’s thought leadership in advanced analytics.
국기 ()
Log Angeles, United States
7월, 2019 - 12월, 2024
•
5 , 5
교육
California State University-Los Angeles
2013 - 2019
•
6
Bachelor
국기 ()
United States
2013 - 2019
•
6
초대장 발송이 완료되었습니다!
감사합니다! 무료 크레딧을 신청할 수 있는 링크를 이메일로 보내드렸습니다.
이메일을 보내는 동안 문제가 발생했습니다. 다시 시도해 주세요.
Freelancer 로고 Korea, Republic of / 한국어
도움말 및 고객 지원
프리랜서
항목프로젝트콘테스트프리랜서기업AI 개발 멤버십우수 프리랜서 프로그램프로젝트 관리지역 일자리Photo Anywhere 쇼케이스 개발자용 API인증 받으세요데스크톱 앱
 기업 소개
Freelancer 소개안내보안투자자사이트맵스토리뉴스팀상금보도 자료경력
 이용 약관
개인정보 보호정책 이용 약관 저작권정책 윤리 수칙수수료 및 요금
협력 단체
Escrow.com LoadshiftWarrior Forum
 앱
애플의 앱 스토어 관련 로고구글 플레이 로고
클립보드로 복사하는 과정에서 문제가 발생하였습니다. 고객님의 권한 정보를 조정하신 후에 재시도하여 주시기 바랍니다.
클립보드로 복사되었습니다.
등록 사용자 전체 등록 건수(일자리)
Freelancer ® is a registered Trademark of Freelancer Technology Pty Limited (ACN 142 189 759)
Copyright © 2025 Freelancer Technology Pty Limited (ACN 142 189 759)
미리 보기 화면을 준비 중...
위치 정보 관련 접근권이 허용되었습니다.
고객님의 로그인 세션이 만료되어, 자동으로 로그아웃 처리가 되었습니다. 다시 로그인하여 주십시오.