Jonathan N. Profile

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$60 USD / hour

south jakarta,

indonesia

$60 USD / hour

It's currently 10:19 AM here

Joined October 21, 2016

1 Recommendation

Jonathan N.

@napjon

0.0

(0 reviews)

0.0

$60 USD / hour

south jakarta,

indonesia

$60 USD / hour

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7+ years App & Analytics in Python/Flutter

Hello! Thank you for checking out my profile! I have 7+ years of work experience in data science, data analytics, machine learning, and data engineering. I extensively mining data with Python+SQL on Hadoop/GCP to analytics in Tableau. I primarily work in marketing analytics and e-commerce analytics, having built end-to-end data extraction, processing, and BI analytics. Communicating advanced insights to VPs, CEOs, and other stakeholders. I also have 5+ years of experience in Web/App development. Specialize in Python, Flutter, Firebase, and PostgreSQL. I have worked with multiple web and mobile app end-to-end. From authentication, subscription, and multiple external integration API

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Portfolio

I built interactive open-source visualization for data scientists.

At the time I built that, there are no true open-source interactive visualization that can sit in Jupyter.

By using what data scientists already know and love, like doing data analysis in Pandas in Jupyter environment, I build this visualization library that users can directly visualize their analysis without having to reupload to Tableau/other BI tools

As the result, after 2 years of release, I have >100 stars in the GitHub repo.

Created open-source Data Science Visualization

The objective of this research was to identify common themes discussed among patients from HealthUnlocked’s asthma community.

As a data scientist, I needed to analyze 152,000 unique conversations between patients. My solution was to build topic modeling from these conversations and discover an inter-topic map. This map helped researchers how to correlate topics of interest between patients. For example, how far are the topics between allergies, medications, walking, and hay fever. The article is published at this link.

Clinical Trial Research Paper

The challenge was the client wanted to build SaaS platform on a centralized social media channel. As an agency, they have to visit each Google Analytics and Facebook Ads Manager to provide reports for their customers. It's impossible to know which channel to prioritize since their content marketing is not a direct comparison.

Rather than use Tableau, they wanted to build this platform so their customer could integrate with all of their social media performance and sales data in one place. The client wants to build and monetize the platform,

My solution was then to build the analytics platform. I set up the infrastructure in the cloud, built external API integration with FB and Google API, data transformation, and added charts into the dashboard.

I also added subscription, authentication process restrictions (public, editor, viewer), so the client can charge their customers on tier membership.

The client is now in talks charging their first five customers.

Social Media Analytics

For this client, they wanted something straightforward and free. They can access anywhere, in real-time, and have some authentication and restriction access. They also need their data to be segmented so they can prioritize where to reach customer leads. Finally, they need me also to do the data analysis.

For this, I decided to build on top of Google Platform. I connected to their SQL data and did segmentations on users' demographics and time of day.

This dashboard allowed the client to do A/B testing, which content is better tailored for customer demographic and when is the best time to reach their customers.

Outbound Campaign

Image for illustration purposes.
The challenge is clients only don't have a real-time cloud dashboard.

Manual operations, countless reports from exporting CSV/Excel from their system, performing pivot and excel charts have taken weeks in total. Updated excel reports passing back and forth without anyone having a single source of truth.

Quarterly reports that gather all data in one place for their report also take a significant amount of their time.

I connected with their SQL Server and did big data transformation in Python. I move their data in cloud SQL so that they can see the reports in real-time. I also installed Tableau Server, so their data is kept private.

The result is outstanding. Clients highly depend on our system. They can take reports in seconds. They don't have to wait for quarterly reports and gather all data.

All data is measured in real-time, so they don't need to wait until quarter time to know something in their data is not correct.

Tableau for Clinical Trial Operations

Created open-source Data Science Visualization

Clinical Trial Research Paper

Social Media Analytics

Outbound Campaign

Tableau for Clinical Trial Operations

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Experience

Eways

Feb 2018 - Oct 2021 (3 years, 8 months)

● Managed six person data team doing EDA and business insight for various industries such as FMCG, Restaurant, Contact Center, and WiFi ● Built machine learning models such as propensity engine and SPG fraud detection ● Built digital analytics platforms that extract data from Facebook, Google, SEMRush, and other digital sources.

Annex Clinical

Aug 2020 - Aug 2021 (1 year)

As Data Architect, I am tasked to build Clinical Trial Analytics platform

Indosat

Jan 2017 - Feb 2018 (1 year, 1 month)

● Doing data science works; exploratory data analysis, feature engineering, statistics, and predictive modeling ● Transformed TBs raw data with big data lambda architecture on TBs per day data ● Created customer 360 profiling and segmentation from 80 million customers

Qualifications

Udacity

2016

Exploratory Data Analysis, A/B Testing, Machine Learning, Data Science, Data Visualization

John Hopkins University,

2016

Building a Data Science Team, Managing Data Analysis, Data Science in Real Life

deeplearning.ai

2018

Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models