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Data Analyst

Location:
Montreal, QC, Canada
Posted:
March 19, 2019

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Resume:

Sho

Akama

Data Scientist

Sho Akama

Montreal, QC, Canada

+1-514-***-****

ac8t7c@r.postjobfree.com

Linkedin: https://www.linkedin.com/in/sho-akama-97a829b4

Summary

Data Scientist with 3 years of experience in finance, energy and forecasting. Sho has deployed Machine Learning (ML) forecasting systems which serve clients across Europe and India bringing their forecasting penalties down by as much as 85%. Sho is experienced in designing and managing ML solutions, from data acquisition, data management to ML model developments. Sho is always keen to apply cutting-edge research in ML to solve real-world problems.

Experience

Education

Django Ecommerce Project

Jul 2018 - Present, Montreal, Canada

Building a ecommerce website from scratch

Technologies: Python, Django, Bootstrap

Climate Connect Ltd - Data Scientist

May 2017 - April 2018, New Delhi/Pune, India

Improved existing forecasting methods using deep learning models with Keras.

Created a high-level Python + scikit-learn library to simplify ML pipeline.

Parallelised external API calls with Python threading to accelerate the process by 10x.

Technologies: Keras, scikit-learn, Python threading, plotnine(Python)

Climate Connect Ltd - Junior Data Scientist

Jun 2016 - Apr 2017, New Delhi/Pune, India

Developed an automated trading signals generation system in the European Emission Allowances market to assist a USA based client.

Decreased 85% in solar forecasting penalty for clients with ML forecasting system with scikit-learn. Automated cleaning, validation, storing of large CSV/ Excel files.

Optimised grouping of bidding blocks to increase margin for utility clients.

Technologies: Python crawler, R, ggplot, SQL, PHP, walk forward test, ROC curve

Vanitee - Data Analyst

Aug 2015 - May 2016, Singapore

Designed and automated KPI reporting processes, leading to a 7 hours reduction compared to previous manual reporting processes.

Identified key factors of customers behaviour using the stepwise regression.

Accessed effectiveness of online marketing campaigns to improve customer retention and lower customer acquisition costs

Technologies: R, SQL, Excel

Chuo University / Bachelor's Degree in Economics

Apr 2010 - Mar 2015, Japan

EM Strasbourg Business School / Finance & Management, Exchange Student

Sep 2013 - May 2014, France



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