Shariff Sarip-Abidinsa Email & Phone Number
Who is Shariff Sarip-Abidinsa? Overview
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Shariff Sarip-Abidinsa is listed as Supervisor, Analytics at Bank Negara Malaysia, a with 3133 employees, based in Greater Kuala Lumpur, Malaysia. AeroLeads shows a matched LinkedIn profile for Shariff Sarip-Abidinsa.
Shariff Sarip-Abidinsa previously worked as Supervisor, Data Analytics (Payment Services Oversight) at Central Bank Of Malaysia and Associate Supervisor, Data Analytics (Payment Services Oversight) at Bank Negara Malaysia. Shariff Sarip-Abidinsa holds Master Of Science - Ms, Computer Science from Georgia Institute Of Technology.
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About Shariff Sarip-Abidinsa
Key skills: machine learning, time series analysis, process automation via Python, computer vision, dashboard development via Power BI, SQL, Unix scripting and statistical analyses (factor analysis, linear programming, demographic analysis, biostatistics and econometrics)Open to research / PhD opportunity, research interests in machine learning and development economics. Specifically, solving poverty related issues using data science techniques.I currently work as a Supervisor at the Central Bank of Malaysia. I oversee Money Services Business licensees for any suspicious activities that may link to possible financial crimes by using data analytics and artificial intelligence techniques. I also cover the payment industry in Malaysia -- mostly looking into emerging risks pertaining to new technology developments associated with the industry. Previously, I was a Data Analyst at Etiqa Insurance Singapore focusing on driving commercial results through analytics and campaign studies. Tools used were Python, Microsoft SQL, Qlik Sense and Google Analytics.Prior to Etiqa, I worked as a Data Scientist at The Center of Applied Data Science (CADS) where I ran corporate training in Data Science courses (Deep Learning, Statistics and Data Storytelling to name a few) and worked with internal and the company's partners to gain actionable insights through data clean-up and data visualisation (Tableau and Python’s Matplotlib).Before getting into the workforce, I graduated from the University of Wisconsin-Madison, USA with a Bachelor's Degree in Mathematics with an application in Actuarial Science. In July 2022, I completed my Master's degree in Applied Statistics from the University of Malaya. I am currently pursuing my second Master's degree in Computer Science at Georgia Institute of Technology, USA part-time and remotely.In my free time, I’d love to hang out with friends, watch movies and travel to new places (when possible, thanks to COVID). You can direct message me if you want to talk about Data Science, Artificial Intelligence or anything of professional topics, I’d be interested to have a conversation![Header photo by Doug Chayka: https://on.mktw.net/2W1V4ih]
Listed skills include Powerpoint, Microsoft Office, Microsoft Excel, Teamwork, and 45 others.
Shariff Sarip-Abidinsa's current company
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Shariff Sarip-Abidinsa work experience
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Supervisor, Data Analytics (Payment Services Oversight)
CurrentOverseeing:- Money Services Business (remittance service providers and money changers)- Payment Services (e-money issuers, merchant acquirers and payment system providers)Tech stack:- Python, R, SQL, Power BI, Neo4j, Git
Associate Supervisor, Data Analytics (Payment Services Oversight)
Associate Supervisor, Data Analytics (Money Services Business Regulation)
Data Analyst
Roles:- Ran campaign studies on different insurance products to gain actionable insights using Python programming.- Developed dashboard that summarizes key information to help stakeholders in their decision making process.- Analyzed and reported weekly sales progress to stakeholders and identified key selling points to improve business strategy.- Explored opportunities that can help improve business process such as automating report and applying machine learning to reduce gaps… Show more Roles:- Ran campaign studies on different insurance products to gain actionable insights using Python programming.- Developed dashboard that summarizes key information to help stakeholders in their decision making process.- Analyzed and reported weekly sales progress to stakeholders and identified key selling points to improve business strategy.- Explored opportunities that can help improve business process such as automating report and applying machine learning to reduce gaps in missing data.- Attended to ad-hoc data extractions requested by other department using SQL. Show less
Data Scientist
1) Training roles:- Delivered Data Science training to enterprise clients from banking, investment, oil and gas industries as well as the government sector.- Coached trainees in navigating Data Science tools such as Python, R Programming, SQL, NoSQL, Descriptive Statistics, Supervised and Unsupervised Machine Learning, Deep Learning, Data Analytics, Data Visualization, Data Storytelling, ETL (Talend) and Capstone Projects.- Collaboratively developed and designed training… Show more 1) Training roles:- Delivered Data Science training to enterprise clients from banking, investment, oil and gas industries as well as the government sector.- Coached trainees in navigating Data Science tools such as Python, R Programming, SQL, NoSQL, Descriptive Statistics, Supervised and Unsupervised Machine Learning, Deep Learning, Data Analytics, Data Visualization, Data Storytelling, ETL (Talend) and Capstone Projects.- Collaboratively developed and designed training materials.Training achievement(s):- Successfully trained near 500 trainees to apply data science tools on their day-to-day job through capstone projects2) Advisory roles:- Consulted clients on how to solve their business problems using data science- Proposed to senior leads with discovered insights using visualization tools (Tableau).Advisory achievement(s):Project P (Training Industry)- Applied feature engineering to existing datasets.- Gained insights on which training product is most profitable and least profitable and identified important segments of customer.- Presented findings to senior leads and HOD.Project H (Transportation Industry)- Conducted statistical data analysis (descriptive statistics) to identify key patterns.- Discovered which location of highways in Malaysia and its associated features that are prone to accidents — for better targeted marketing campaigns of road safety.Project Y (Education Industry)- Performed exploratory data analysis on the dataset and identified flaws in the data (not meaningful values).- Developed a machine learning model for a classification problem faced by client.3) Internal analytics roles:- Conduct statistical analyses on internal matters which include trainers’ performances, trainees’ score evaluation, task automation and etc. Show less
Colleagues at Bank Negara Malaysia
Other employees you can reach at bnm.gov.my. View company contacts for 3133 employees →
Nurul Salleh
Colleague at Bank Negara MalaysiaKuching, Sarawak, Malaysia
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Akmal Zulkarnain
Colleague at Bank Negara MalaysiaWp. Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia
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Nur Afifah Yazid
Colleague at Bank Negara MalaysiaWp. Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia
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Tengku Muhammad Azlan Ariff
Colleague at Bank Negara MalaysiaArlington, Virginia, United States
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Zaza Ameera Mohd Zainee
Colleague at Bank Negara MalaysiaFederal Territory Of Kuala Lumpur, Malaysia
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Elisha Naz
Colleague at Bank Negara MalaysiaWp. Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia
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Muhammad Syamil Bin Kamaruzzaman
Colleague at Bank Negara MalaysiaBath, England, United Kingdom
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Arvin Meyyappan
Colleague at Bank Negara MalaysiaSetapak, Federal Territory Of Kuala Lumpur, Malaysia
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Airin Zainal
Colleague at Bank Negara MalaysiaMalaysia
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Jaya Maruthamuthu
Colleague at Bank Negara MalaysiaIpoh, Perak, Malaysia
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Shariff Sarip-Abidinsa education
Master Of Science - Ms, Computer Science
Master'S Degree, Applied Statistics (Mappstats)
Micromasters, Data, Economics, And Design Of Policy (Dedp)
Bachelor Of Science - Bs, Mathematics
American Degree Program, Mathematics
Frequently asked questions about Shariff Sarip-Abidinsa
Quick answers generated from the profile data available on this page.
What company does Shariff Sarip-Abidinsa work for?
Shariff Sarip-Abidinsa works for Bank Negara Malaysia.
What is Shariff Sarip-Abidinsa's role at Bank Negara Malaysia?
Shariff Sarip-Abidinsa is listed as Supervisor, Analytics at Bank Negara Malaysia.
Where is Shariff Sarip-Abidinsa based?
Shariff Sarip-Abidinsa is based in Greater Kuala Lumpur, Malaysia while working with Bank Negara Malaysia.
What companies has Shariff Sarip-Abidinsa worked for?
Shariff Sarip-Abidinsa has worked for Bank Negara Malaysia, Central Bank Of Malaysia, Etiqa Insurance Singapore, and The Center Of Applied Data Science.
Who are Shariff Sarip-Abidinsa's colleagues at Bank Negara Malaysia?
Shariff Sarip-Abidinsa's colleagues at Bank Negara Malaysia include Nurul Salleh, Akmal Zulkarnain, Nur Afifah Yazid, Tengku Muhammad Azlan Ariff, and Zaza Ameera Mohd Zainee.
How can I contact Shariff Sarip-Abidinsa?
You can use AeroLeads to view verified contact signals for Shariff Sarip-Abidinsa at Bank Negara Malaysia, including work email, phone, and LinkedIn data when available.
What schools did Shariff Sarip-Abidinsa attend?
Shariff Sarip-Abidinsa holds Master Of Science - Ms, Computer Science from Georgia Institute Of Technology.
What skills is Shariff Sarip-Abidinsa known for?
Shariff Sarip-Abidinsa is listed with skills including Powerpoint, Microsoft Office, Microsoft Excel, Teamwork, Data Analysis, Statistics, Teaching, and Public Speaking.
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