Summary
Skills
Acedemic Project
Overview
Work History
Education
Timeline
Certification
SoftwareEngineer
Ahmad Fuad

Ahmad Fuad

Data Science Graduate
Kuala Lumpur

Summary

Graduate data science student with 8-year professional experience in a wide range of areas such as business monitoring & advisory, loan recovery, asset valuation and money transactions in the financial and banking sector. Proficient knowledge in statistics, data science, analytics and business visualization. Seeking for leveraging business operations understanding and analytics tools to solve modern businesses problems.

Skills

Statistical analysis

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Acedemic Project

Project Name : An Investigation on Algorithmic Trading Profitability with Sentiment Analysis Algorithm in Malaysia Market

  • Sentiment analysis & machine learning model to predict stock movement. Experiment with various technique to generate trading signal such as hybrid Simple Moving Average combine with sentiment analysis and 5 machine learning technique (Logistic Regression, Naive Bayes, SVM, Random Forest & MLP). Dataset was mining using web scraping technique & API.
  • Github Repository Link : https://github.com/FuadKhalit/Capstone_Project_APU-Algorithmic-Trading-Strategy-/blob/master/capstoneproject.ipynb

Project Name :Facial emotion recognition for e-KYC System Using Transfer Learning

  • Utilizing deep learning framework using Tensorflow and Keras library to create facial emotion recognition with transfer learning technique based on Convolution Network (CNN),VGG16 and Resnet50 architecture. Advance features including using tensorboard HPARAM to tune hyperparameter and created input pipeline and analysis on pipeline bottleneck in order for the framework to be compatible with big data.
  • Github Repository Link: https://github.com/FuadKhalit/TransferLearning_FER

Project Name :Spelling Correction System using Noisy Channel Model

  • Created NLP rules-based programming using noisy channel model for spell correction system. User interface generated by applying TKinter library.
  • Github Repository Link: https://github.com/FuadKhalit/Spell_Corrector_System_NLP

Project Name :Walmart Sales Forecasting

  • Using kaggle dataset of 'Walmart Store Sales Forecasting' and utilize Tableau data visualization to generate holiday analysis infographic for exploratory data analysis (EDA). Created time series model using SAS Enterprise Miner to forecasting sales.
  • GIthub Repository:https://github.com/FuadKhalit/Walmart_Sales_Forecast

Project Name :Statistical Analysis in Football Industry

  • Using dataset from kaggle dataset 'Football Data: Expected Goals and Other Metrics' and utilize SPSS to find which metrics is significant to improve goal scoring output. Technique used in this analysis included Stepwise Multiple Linear Regression (including ANOVA, homoscedasticity & multicollinearity test) to establish causal relationship between dependent and independent variable. Then Factor Analysis technique (correlation metric, PCA, Varimax) to reduce dimension of independent variable.
  • Github Repository Link : https://github.com/FuadKhalit/Multivariate-Data-Analysis

Project Name : Credit Scorecard Modeling Using Machine Learning

  • Using R language to create credit scorecard model using supervised learning technique by applying 3 algorithm (Naive Bayes, Random Forest and Multilayer perceptron). Utilizing standard package such as caret, ggplot and big data package in H2O to increase computation power by setting up cluster to run distributed parallel computing in local machine.
  • Github Repository Link: https://github.com/FuadKhalit/Credit_Scorecard_Model

Overview

8
8
years of professional experience
4
4
years of post-secondary education
5
5
Certifications
6
6

Acedemic Project

Work History

Investment Recovery Executive

Perbadanan Usahawan Nasional Berhad
Wilayah Persekutuan, Kuala Lumpur
10.2018 - 09.2019

• Responsible to manage and collected written-off bad debt accounts from existing portfolios.
• Reviewed all account by analyzing & accessing entrepreneur position to determine appropriate collection activities.
• Conducted detailed analysis, assessment and enquiries on entrepreneur account with/without Settlement Agreement within the stipulated period.
• Created forecast using excel function in order to predict the expected collection result.
• Presented monthly collection result to Head of Department or management committee outlining actual performance against forecast.
• Presented new or revise payment term proposal to the respective management committee for approval.
• Recommended legal action on non-compliant account.
• Monitored and collected monthly payment based on the payment schedule in accordance with the settlement agreement(SA) payment term.
• Performed yearly review on settlement agreement (SA).
• Provided business advisory to entrepreneur as deemed appropriate to increase/improve payment in their settlement agreement (SA) payment term.

Monitoring And Advisory Executive

Perbadanan Usahawan Nasional Berhad
Wilayah Persekutuan, Kuala Lumpur
08.2017 - 10.2018

• Responsible for business support roles by providing monitoring and advisory to entrepreneur's business and ensure it's on the right track of development for growth.
• Monitored the performance of the company through review of financial documents (i.e financial statement or management account) and audit to assist in the implementation of good management practices.
• Provided advisory support to develop management, operational and technical expertise in the company.
• Coordinated and conduct site visits and data collection in the entrepreneur's business to include business survey and in-person interview with company director or finance manager.
• Performed business performance analysis based on financial statement or management account and generated report to management on company financial condition.
• Advised entrepreneur on cash flow projection either to revised based on current financial condition in order for the company remain solvent.
• Negotiated and collected an outstanding amount of financing that already past due to improve collection performance of Pre-NPL, NPL & Write-off units.
• Provided screening for rescheduling & restructure eligibility of the company from interview and consultation session with the entrepreneur.
• Created trend and forecast analysis using Microsoft Excel Forecast & Trend functions on business industry & sector performance and forecasting collection on NPL account.
• Presented the analysis to the Department Head and Management committee to understand the trend and develop strategy then respond in order to improve collections.
• Enhanced good relationships with customer and attend to their enquiry with advice and solution.
• Ensured all entrepreneur business is complying with Syariah compliance and corporate governance.

SME Field Collector

RHB Bank
Wilayah Persekutuan, Kuala Lumpur
01.2016 - 07.2017

• Conducted field visit to SME & ABF customer premise and ensure address are correct as per system.
• Established new leads of information on customer business activity and update new information necessary to management.
• Negotiated and collected an outstanding amount of monthly payment to avoid account fall into NPL status.
• Pursued promise payment and commitment given by customer to regularized the account.
• Maintained good relationships with customer and attend their enquiry with advice and solutions.
• Provided daily reports to management on a regular basis.

Asset Based Finance Valuator

RHB Bank
Wilayah Persekutuan, Kuala Lumpur
01.2015 - 01.2016
  • Performed second-level review on loans approval by recommended true asset valuation based on market price.
  • Met with customers, marketing officer and vendor to negotiate loan amount.
  • Validated the delivery of asset to customer premise on the approved loan.

Collection Executive

RHB Bank
Wilayah Persekutuan, Kuala Lumpur
02.2012 - 12.2014
  • Used scripted conversation prompts to convey current account information and obtain payments.
  • Discussed options with delinquent clients in terms of proposed solutions.
  • Checked packages for demand letters and loan authorizations before sending to clients.

Global Support Executive

HSBC Bank
Cyberjaya, Selangor
02.2011 - 01.2012

• Investigated outbound payment problem received from customer, branch and financial institution.
• Involved in payment services activities.
• Handling charges and claims from beneficiary bank and remitting bank.
• Solving remittance case by case on a daily basis.
• Contected customer or bank through Swift message and phone call.
• Reconciled outstanding balance in account.
• Supporting the UK market.

Education

Master of Science - Data Science And Business Analytics

Asia Pacific University
Malaysia
11.2019 - 01.2021

BBA - Business Administration (Marketing)

Multimedia University
Cyberjaya
01.2008 - 02.2011

Timeline

Professional Certification of Archievement, SAS

02-2021

Coursera- Building Machine Learning Pipelines in PySpark MLlib

11-2020

Coursera-Music Recommender System Using Pyspark

11-2020

Coursera-Networking in Google Cloud: Defining and Implementing Networks

08-2020

Coursera-Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

07-2020

Master of Science - Data Science And Business Analytics

Asia Pacific University
11.2019 - 01.2021

Investment Recovery Executive

Perbadanan Usahawan Nasional Berhad
10.2018 - 09.2019

Monitoring And Advisory Executive

Perbadanan Usahawan Nasional Berhad
08.2017 - 10.2018

SME Field Collector

RHB Bank
01.2016 - 07.2017

Asset Based Finance Valuator

RHB Bank
01.2015 - 01.2016

Collection Executive

RHB Bank
02.2012 - 12.2014

Global Support Executive

HSBC Bank
02.2011 - 01.2012

BBA - Business Administration (Marketing)

Multimedia University
01.2008 - 02.2011

Certification

Coursera-Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Ahmad FuadData Science Graduate