Manager Data

Anh Phuong Tran (Ann)

** ******* *****, ********** ****, 3081 +61-424-***-*** ***********@*****.***

LinkedIn profile: https://www.linkedin.com/in/anh-phuong-tran-a0119690/

GitHub: https://github.com/Anh2901

SUMMARY

A Junior Account Manager turned into data scientist with relevant experiences in business analysis and data analysis related field. Areas of expertise include software development, business analysis, data analysis and visualization, data modeling, machine learning, and database design. Experienced in statistical modelling and machine learning techniques, and applied data analysis in commercia world. Strong team player with excellent cross-cultural literacy and communication skills. Proven ability to adapt to multi-cultural and fast-paced environments.

IT SKILLS MATRIX

R

Python (Numpy, Sci-kit learn, Pandas)

Machine Learning

Version Control (Git, Bitbucket)

Tableau/Power BI

MATLAB

Database (Oracle SQL, PostgreSQL, mySQL)

Cloud Computing (AWS)

Scala/Hadoop/Spark

EDUCATIONAL BACKGROUND

Monash University, Australia 2017 – 2018

Master of Data Science

Obtained GPA: 3.5. Weighted Average Mark: 81

Awarded Monash Winter and Summer Research Program Scholarship

Completed minor thesis for load disaggregation algorithm

Royal Melbourne Institute of Technology, SIMGES, Singapore 2013 – 2015

Bachelor of Business in Economics and Finance

Obtained 3.3

Awarded Distinction for Bachelors

Awarded Certificate of Commendation for Excellent Performance

PROFESSIONAL EXPERIENCE

MONASH UNIVERSITY 2018-2019

Monash Research Assistant

Key Responsibilities:

Develop and build machine learning algorithms (bootstrapping, cross validation, regression, Bayesian regression) to identify the key drivers of an individual’s performance at Australia Football League for St. Kilda FC

Perform data integration from multiple sources (sensor data and Champion data) into database and ensure the information updated in a proper manner by using triggers (SQL)

Implement, evaluate and improve machine learning algorithms

Develop scripts using SQL, Python for regular report and ad-hoc data analysis requests

Performed qualitative and quantitative analysis of the predictions and provide recommendations for the overall success of the team to non-technical parties

Key achievements:

Design and develop a predictive statistical model with the accuracy of more than 80% to predict the success of each player and the team

Tools:

Software: Python, MATLAB, R, Tableau, PowerBI, SQL

Statistical Methods: Random Forest, Classification, Linear Regression, Bayesian Regression

CTC GLOBAL PTE. LTD., SINGAPORE 2015 – 2017

Junior Account Manager

Focused on Big Data and Analytics projects in the Singapore Government and Finance sector with solid knowledge of Big Data Analytics & Tools such as Spark and Hadoop

Assisted in multi-million-dollar Infrastructure and Applications driven projects in the Finance Sector

Present, negotiate and prepare contracts, quotations. Proactively engage with strategic customers to foster client relationships

Consolidated and analyzed figure using excel function such as pivot table and Tableau for sale related activities and sale forecasting

Collaborated with business systems teams to develop, promote and continuously enhance Resident Engineering offering – a new business solution offering focus

INDUSTRIAL PROJECTS

Research Projet: Where does my electricity go? (Master Minor Thesis Project)

Purpose: To improve non-intrusive load monitoring algorithm that can decompose total electrical power consumption captured by smart meter into appliance level contribution by using richer transient features

Perform SQL query to export data from PostgreSQL database to CSV file

Use Python for data manipulation, data extraction, data analysis and feature engineering

Perform statistical analysis, implement and improve machine learning algorithm for the task of energy disaggregation

Key Achievements:

Improve machine learning algorithm for the task of load disaggregation by incorporating new features into Factorial Hidden Markov Models framework. The accuracy of the model increases to 90% from 70%

Method and Tools used:

Statistical methods: Factorial Hidden Markov Models

Software: MATLAB, Python

Project: Document Classification

Purpose: To find a classifier that can classify new articles into number of classes with the highest possible accuracy. It is a multi-class problem

Performed pre-processing task which include case normalization, tokenization, stop-words removal, most and least frequent words removal

Performed feature engineering by converting the final tokens into tf-idf and using word embedding

Developed, trained and compared machine learning algorithms using the extracted features. Word embedding and support vector machines resulted in the highest accuracy rate of 75%.

Method and Tools used:

Statistical methods: Word Embedding (Glove), Support Vector Machine, Neural Network

Software: R (e1071, tm), Python

SKILLS AND PERSONAL QUALITIES

Communication Skills

Good listening skills by accurately addressing the customers’ requests and handling their complaints, gained from experience of working as consultant in IT and hospitality industry.

Ability in understanding customer’s request and handling inconvenient situations in a calm and effective manner, gained through consultant experience in a Singapore IT consulting firm.

Interpersonal and Teamwork Skills

Good interpersonal and teamwork skills demonstrated through university’s club activities and working closely with internal and external parties in multi-dollar IT proposals at ITs consulting firm

●Ability to work well with people from all age groups with diverse background, gained from working for 2 years in a hospitality industry

●Ability to deal with people in a friendly and confident manner, proven through customer service experience in a Singapore IT consulting firm

Problem Solving Skills

Ability to think creatively and technically and turn concepts into reality throughout multiple projects in different industry sectors including education, sport, transportation and health

Troubleshoot equipment or situations

TRAINING EXPERIENCE

CFA Institute, passed CFA level 1 Dec 2014 examination Dec 2014

Pass CFA level 1 with more than 70% in every module

AWS Training and Certification – AWS Partner Network Ongoing

AWS Business Professional: Foundational knowledge on key AWS services

AWS Certified Big Data - Specialty Course Ongoing

Kinesis, AWS Database Migration Service, Amazon S3, Amazon DynamoDB

MongoDB – Mongo University Ongoing

MongoDB Basics:

Data Wrangling with MongoDB

Diagnostics and Debugging

EXTRA-CURRICULAR ACTIVITIES

Monash Non-Residential College Advisor 2017 – 2018

Regular contact to encourage assigned members to engage in college life by attending events and meeting with other members outside the academic setting

Assist to organise colleague events

REFEREES

Jason Le

Software Developer

Faculty of pharmacy and pharmaceutical Sciences

Monash University

Email: *****.**@******.***

Dr. Frits de Nijs

Teaching Associate

Caulfield School of IT

Faculty of Information Technology

Monash University

Email: *****.****@******.***

Contact this candidate