Jarif Hassan Samin
Auckland
Summary
I am a data professional with 8 years of experience. I am skilled in Python, SQL, R, Power BI, and machine learning. I've developed solutions like OCR engines, recommendation systems, and automated dashboards to optimize processes and deliver results. I am an expert in data visualization and predictive analysis and am familiar with big data tools like Hadoop and PySpark.
Overview
3
3
years of professional experience
Work History
Data Analyst
Te Whatu Ora - Ministry of Health
07.2023 - 02.2024
- Developed and maintained Power BI dashboards reflecting recruitment data and performance on a daily basis, leveraging Power BI,DAX, and Excel.
- Built 30+ new reports from the ground up to cater to the specific needs of various stakeholders.
- Presented a daily updated Power BI report showcasing changes in recruitment numbers over the desired period.
- Generated two weekly reports containing detailed analyses of recruitment changes throughout the week, accompanied by visualizations.
- Responded to ad-hoc reporting requests from stakeholders including Managers, Business Partners, Recruitment Leads, and Team
Members, ensuring timely delivery of insights. - Dealt with multiple stakeholders for queries related to organizational performance
Data Analyst
Manawanui
03.2022 - 08.2022
- Conducted testing for an automation project involving client data, ensuring accuracy and reliability.
- Reconciled financial statements across multiple databases, including CRM, Flow, and MYOB, to maintain data integrity.
- Leveraged Microsoft CRM Dynamics 365 as a data library for conducting data analysis and creating visualizations.
- Assisted with the setup of Microsoft SQL Server Reporting Services (SSRS), facilitating efficient reporting and data visualization processes.
Financial Analyst
Carepark - Sky City
03.2022 - 07.2022
- Successfully took over the role in 2 weeks.
- Accessed data set to find anomalies, trends, and patterns.
- Provided insight to stakeholders based on the findings.
- Generated daily, fortnightly, and monthly reports for stakeholders using excel.
- Predicted volumes, revenues and profits centered around previous data, legislations, and promotional activities.
- Reconciled statements on monthly and quarterly basis.
- Conducted detailed financial analysis to identify and evaluate changes in operations, trends and potential areas of improvement.
Data Analyst
District Health Board- Ministry of Health
11.2021 - 03.2022
- Conducted detailed analysis, created visualizations, built reports, and generated insights based on payroll data using advanced excel.
- Advanced excel and to handle data for reporting and Power Bi for visualization.
- Identifying, analyzing, and interpreting trends or patterns in up to 4 data sets a daily.
- Liaising between multiple stakeholders.
- Finding anomalies in data sets and suggesting corrections
Customer Support Analyst
Mazda Australia - CDM Direct Communication Services
02.2021 - 06.2021
- Handled customer queries regarding Mazda car engines and body parts
- Software support Eg: installation and use performed with accuracy.
- Wrote down ticket for case managers and escaladed where necessary.
- Dealt with complaints and ensured all customer complaints are answered throughout the service chain.
- Provided accident support in a high pace stressful environment.
- Managed 30+ calls on a daily basis.
Education
Master of Science - Applied Data Science
University of Canterbury
Christchurch, NZ07.2025
Bachelor of Science - Accountancy
Massey University
Auckland01.2020
Skills
- TensorFlow, Keras
- Tesseract
- OpenCV
- Matplotlib
- Scikit-Learn
- Django
- Hugging Face
- DAX
- Advanced Excel
- MYOB
- CRM Dynamics 365
Projects
Reporting Automation - Te Whatu Ora
- Automated daily reporting using python (selenium)
Computer Vision Intern - University of Canterbury (11/2023 - 02/2024)
- Developed and maintained a fully automated webcam scanner script using Python, Google Vision AI.
- Compared methods such as Tensorflow, Tesseract, Vision Ai to find optimal engine.
- Conducted extensive model training and evaluation, identifying limitations in accuracy and performance for specific use cases.
- Authored a conference paper.
Rainwater Data Science Project - University of Canterbury
- Analyzed datasets exceeding 3 billion rows using Hadoop, Python, and PySpark for distributed processing across multiple nodes.
- Optimized data workflows and transformations to ensure efficient processing of large-scale data.
- Generated a comprehensive report detailing key findings, trends, and actionable insights from the analysis.
Song Recommendation System - University of Canterbury
- Developed a recommendation system by analyzing 10,000 songs and behavioral data from over 2 million users, leveraging advanced data science techniques.
Timeline
Data Analyst
Te Whatu Ora - Ministry of Health
07.2023 - 02.2024
Data Analyst
Manawanui
03.2022 - 08.2022
Financial Analyst
Carepark - Sky City
03.2022 - 07.2022
Data Analyst
District Health Board- Ministry of Health
11.2021 - 03.2022
Customer Support Analyst
Mazda Australia - CDM Direct Communication Services
02.2021 - 06.2021
Master of Science - Applied Data Science
University of Canterbury
Bachelor of Science - Accountancy
Massey University
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