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Mohd Kamaludin

Data Scientist

University of Chicago

Technologies

My Portfolio Highlights

My New Workbook

Writing Efficient Python Code

My New Workbook

Introduction to Python

My New Course

Introduction to Python

Numbers enthusiast, translating data into meaningful insights.

My Work

Take a look at my latest work.

DataLab

Writing Efficient Python Code

DataLab

Introduction to Python

DataLab

My Python workspace

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

DIRECTV | Aug 2021 - Dec 2022

Data Scientist

- Uncovered customers patterns that correlate to churn and lower survey satisfaction scores using clustering and natural language processing analytics with recommendations for improvements and customer clusters based on content viewing habits - Assembled semantic business layer data model that reduce the time for analyses and successfully implemented self-service dashboards that could streamline KPI trends, and identify certain devices and software updates that impacted customers’ satisfaction
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SGK | Sep 2020 - May 2021

Data Scientist

- Designed and implemented python forecasting machine learning models that predict weekly service order count and resource hours needed by manufacturing assembly groups with an accuracy rate of 68% resulting in lower manufacturing cost - Evaluated manufacturing optimization opportunities from interviews, and exploratory data analyses that identified task grouping and time estimation

Aptitive | Apr 2019 - May 2020

Senior Consultant II, Data Science & Analytics

- Coordinated expectations and deliverables with clients and stakeholders by tailoring modern data analytics strategies that identify optimization opportunities using constructed data profiles and machine learning algorithms while providing a 360 view of their current business operations - Architected and constructed end-to-end analytics data pipelines using Azure Data Factory, Snowflake, and Tableau to extract data from various channels and transform them into a conformed business model for exploratory data analyses and interactive dashboards

Scholle IPN | Nov 2018 - May 2019

Capstone Partner - Data Scientist

- Developed an 18-month window demand forecasting prediction model using an ensemble supervised machine learning algorithm with demographic, economic indicators, and other trend markers to optimize the production and distribution of tomato bags with an accuracy range of 36k tomato bags

University of Chicago Booth School of Business | Sep 2015 - Apr 2019

Data Warehouse Analyst

- Collaborated with various departments and data owners in creating complex cross domain student timeline reports, key market analyses, year-over-year growth and engagement reports to help deans’ offices identify key trends and student segmentation - Strategized report template that allows different departments to feature common metrics while highlighting individual department insights, resulting in a 100% increase in usage

The University of Chicago | Oct 2014 - Aug 2015

Business Intelligence Analyst

N/A

Mondelēz International | Apr 2014 - May 2015

Sr Business Intelligence Consultant

N/A

SAGIN, LLC | Jul 2012 - Apr 2013

Sr Business Intelligence Consultant

N/A

Northern Trust | Jan 2012 - Jun 2012

Sr Business Intelligence Developer

N/A

Kraft Foods Group | Dec 2010 - Dec 2011

Business Intelligence Analyst

N/A

Nationwide Insurance | Feb 2008 - Aug 2010

Database Specialist

N/A

VeriSign | Jul 2006 - Jan 2008

Database Report Developer

N/A

My Education

Take a look at my formal education

Master of Science - MS, AnalyticsThe University of Chicago | 2019
Florida State University
Bachelor of Science - BS, Computer Science, EconomicsUniversity of Wisconsin-Madison | 2005

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