paprila nouraPN
Open to opportunities

paprila noura

@paprilanoura

Experienced Data Scientist with a passion for innovative solutions.

Malaysia

What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my data science expertise to drive impactful solutions and contribute to a forward-thinking team.

I am an experienced Data Scientist with over 8 years of expertise in leveraging machine learning, statistical modeling, and AI to drive impactful business solutions. My journey has been marked by proven leadership, managing teams for over 4 years, and delivering successful projects that provide valuable business insights. I am passionate about solving complex problems through innovative, data-driven solutions.

In my current role as a Senior Data Scientist/AI Engineer at Userdata Sdn. Bhd., I have led a team to deliver key projects, including an AI-driven solution that automates loan application documents and enhances OCR models for complex document extraction. My previous experiences at Cognizant and Accenture have allowed me to develop ML models and dashboards that significantly improve reporting accuracy and procurement insights. I thrive on collaboration, working closely with stakeholders to align solutions with their expectations.

Throughout my career, I have managed teams and projects that have pushed the boundaries of data science, including video analytics for educational purposes and credit risk scoring models for financial institutions. My academic background in Statistics, combined with my continuous learning through certifications, equips me with the skills necessary to tackle the challenges of today's data landscape.

Experience

Work history, roles, and key accomplishments

UB
Current

Senior Data Scientist/AI Engineer

Userdata Sdn. Bhd.

Oct 2023 - Present (1 year 8 months)

Led a team in delivering two key projects: an AI-driven solution using LLMs and NLP to automate loan application documents and enhanced OCR model for complex document extraction, improving accuracy to 82% and reducing processing time by 94%. Contributed to the development of two products leveraging on-premises Large Language Models (LLMs) to deliver advanced AI-driven solutions.

CO

Associate – Project / Data Scientist

Cognizant

Feb 2023 - Sep 2023 (7 months)

Developed an ML model to categorize PO items, achieving 80% accuracy while overcoming challenges of unstructured data and siloed databases. Built Power BI dashboard to track spend, price, and volume of material groups across the company. Conducted User Acceptance Testing (UAT) to validate dashboard insights and model performance before deployment.

AC

Data Scientist

Accenture

May 2021 - Jan 2023 (1 year 8 months)

Developed an ML model for item category classification, improving procurement insights. Automated Power BI reporting for Bill Of Material, migrating data from SharePoint to EDP and redefining measures for accuracy. Built two Python Dash webapps for real-time data editing to enhance data management and automated LDM (Loss Event) calculation, integrating a formula library for accurate computations.

KL

Senior Consultant/Data Scientist

Kewman Pte. Ltd.

Jan 2019 - May 2021 (2 years 4 months)

Managed a team of four data scientists. Managed and led most phases of a Video Analytics project for an education company, developing a system to detect and classify practical exams with automated scoring. Successfully implemented Credit Risk Scoring Models for two financial companies: PT. Andalan Finance Indonesia and BRI-Finance Indonesia.

EB

Data Scientist

EBDESK Malaysia Sdn. Bhd.

Dec 2015 - Dec 2018 (3 years)

Managed a team of nine data scientists across Malaysia and Indonesia. Led UAT for Data Analysis and conducted training sessions for clients on data analysis methodologies. Delivered key projects including statistical analysis on price intelligence for Department of Statistics Malaysia and designed statistical models to analyze human-wildlife conflicts for Ministry of Natural Resources & Environmen

Education

Degrees, certifications, and relevant coursework

UP

University of Padjadjaran

Bachelor of Mathematics and Natural Science, Statistics

Grade: 3.19

Focused on statistical analysis and its applications in various industries. Gained expertise in actuarial science and industrial statistics.

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