Data Analyst Scientist

NGUYEN LE CAT TUONG

AI ENGINEER - ML ENGINEER

In the God we trust, All others bring data bring data Part A: Personal Informations

Name: Nguyen Le Cat Tuong

Date of birth: 03/05/1993

Address: 104 Phan Van Tri, D.5, HCM City

Phone: 076-***-****

Email: adn8eg@r.postjobfree.com

Part B: Education and Certi cates:

1. Education

University of Economics Ho Chi Minh City (2011-2015) Master of Data Scientist in VNUHCM-University Of Science

(2020-Now)

2. Certi cates

Advanced Computer Vision with Tensor ow (Click Here) Part C: Experiences:

2 years experience as Market Research Analyst

2 years experience as Data Analyst

Part D: Skills:

- Bigquery

- Google Data Studio

- Python : Sklearn, Spark, TensorFlow, Keras, Pandas.

- Linux

- Google Cloud Platform

- Excel

Part E: Knowledges:

Deep Learning Theory

- State of the Art Architecture (ResNet, GoogLeNet, VGG, MobileNet...)

- Optimization Method

- Loss

...

Machine Learning

- Machine Learning Algorithms (Tree Based Method, Support Vector Machine, Logistics Regression...)

- Statistical for Machine Learning (Statistical, ensemble learning, sampling method...)

...

Data Analyst

- Time Series Analytics

- Statistical Analyst: Linear Reregssion, Logistics Regression

- Hypothesis Testing:

- Adhoc Analyst

- App performance analytics

I have a libraries to note all knowledges about Deep Learning, Computer Science, and math... You can click here to check: Data Scientist Libraries In the God we trust, All others bring

data

Data Scientist Library

Transfer Learning

Pretrained + Finetuning

Object Detection

with TF-Hub

Some projects I do before

1. Investigating a KPI set for app. Including operating, product, marketing. 2. For Operating KPI:

- Building some reports for app operation:

+ Active Users

+ Retention Rate

+ Install

+ Register

+ Paid Users

+ Users Journey

3. For Product KPI:

- Tracking activities of users for every function of app.

- Determining drop percentage and skip percentage of users in diagram. 4. For Marketing:

- Supporting marketing team to calculate revenue, cost of marketing event.

- Evaluating the result of marketing event by analyzing customer behaviour.

- Determining what event company should focus on.

5. For other tasks:

- Supporting raw data for other team.

- Following data on data warehouse. Working with Data Engineer team for updating data or xing problem with data.

- Fix bugs.

6. Adhoc Analytics:

- Using statistical to check whether data of two different timesteps have different distribution.

- Checking whether what feature appear to the result of independent variables.

- Clustering customer have some features.

- Classi cation task

1, Acquiring data from Internet and the list of Plant Projection Department and maintain databases/data systems

2, Updating potential custommers’ information via the list of sales team 3, Planning business trip to meet agents and collet market information, show them about products, promotions

4, Making market research, discovering prices, products and Marketing Activities of competitors

5. Writting report for Marketing Manager to decide potential Market and right marketing activities

6, Working with advertising media to make sure they produce and handover POSM/Advertising materials on time with right quality

Developing and operating digital marketing plan:

1, Measuring performance of digital marketing efforts using a variety of Web analytics tools

(Google Analytics, WebTrends, Ahrefs, Google Search, Facebook Analytics...) 2. Responsible for monitoring, development social network such as (Facebook, Instagram...) and running facebook ads.

3, Conducting SEO activities (SEO contents). I used to write 8 posts per days 2020-2021: Data Analyst Executive at Kienguru 2017-2019: Market Research and Data Analysis at DBiO Group 2015-2017: Marketing Excecutive at Ezoom Viet Nam

CV SUMMARIES

Sklearn - Supervised LearningAll

in one

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