samaschen Profile

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E-mel berjaya disahkan.

$45 USD / jam

old toronto,

china

$45 USD / jam

Sekarang jam 3:44 PG di sini

Menyertai November 30, 2022

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samaschen

@samaschen

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(0 ulasan)

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$45 USD / jam

old toronto,

china

$45 USD / jam

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Kadar Upah Semula

Data Scientist/MLE/Data Engineer

• Motivated Data Scientist/Engineer with robust analytics and implementation experience. • Skill sets: • Machine Learning: Tree-based models, Linear/Logistic regression, PCA, SVM, KNN/K means • Statistics: Probability, Sampling, Hypothesis Testing, Bayesian inference • Programming: Python, R, SQL; Big Data: Spark, Hadoop, Hive • Implementation: Jenkins, Postman, Circle CI, Oozie, Splunk • AWS: Sagemaker, S3, Glue, Athena, Lambda, Cloudwatch, etc. • BI: Tableau, Retool, DOMO, Power BI, Excel, R Markdown • Other tools: GitHub, Azure DevOps, Confluence, DSX • Passionate about data-driven case competitions/projects, participated in 6 Hackathons in leisure so far. • Huge sports fan. Keen on applying my skill set to the sports industry or projects.

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Pengalaman

Acquco

Mei 2022 - Jul 2022 (2 bulan, 1 hari)

Created data pipeline for Ad Spend Optimizations on the company’s acquired brands on the Walmart website. Web-scraped product reviews data daily using an AWS Lambda function and ingested it into the PostgreSQL database. Presented outcomes on Retool and triggered alerts for products fulfilling the ad spend requirements.

Rocket Innovation Studio

Jun 2021 - Mei 2022 (11 bulan, 2 hari)

Worked on the LeadShare project to find out the best leads for 3rd-party mortgage agents without hurting in-house performances. Created data pipeline using Pyspark, tested data accuracy/code efficiency using DSX, and tested API calls using Postman. Scheduled lead-delivering workflow using AWS Glue. Generated $55 million extra closing volume in the first 4 months of implementation. Worked on building an ML model to predict the best leads to deliver at a given moment.

Propel Holdings

Dis 2017 - Jun 2021 (3 tahun, 6 bulan)

Solely initiated and completed 2 ML model cycles for evaluating and predicting customers’ engagement. Worked with lending data from 10+ data sources and built executable functions for data processing in Python/R. Created workflows in Jenkins; ran batch testing in the local Java environment to ensure compatibility with the PROD environment. Saved ~$20k/month on lead costs and increased loan conversion rate by 7% using ML models to optimize lead-processing strategies.

Pendidikan

Applied Statistics Specialist with Social Psychology focus

University of Toronto,

Canada

2013 - 2017

(4 tahun)

Kelayakan

Statistical Society of Canada

2017

The A.Stats is appropriate for recent university graduates and will generally progress to the professional designation after at least six years. You have to demonstrate that you have the equivalent of an undergraduate degree in statistics and strong communication skills with some applied experience. The committee will request references to confirm that the applicant has strong statistical communication skills. Showing proof of published statistical manuscripts is also beneficial.