Ilana Lichtenstein
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Ilana Lichtenstein Email & Phone Number

Data Scientist at Australian Public Service at Australian Public Service
Location: Melbourne, Victoria, Australia 11 work roles 2 schools
1 work email found @forefrontanalytics.com.au 2 phones found masked preview LinkedIn matched
4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email i****@forefrontanalytics.com.au
Direct phone ***-****
LinkedIn Profile matched
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Current company
Role
Data Scientist at Australian Public Service
Location
Melbourne, Victoria, Australia
Company size

Who is Ilana Lichtenstein? Overview

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Quick answer

Ilana Lichtenstein is listed as Data Scientist at Australian Public Service at Australian Public Service, a company with 15948 employees, based in Melbourne, Victoria, Australia. AeroLeads shows a work email signal at forefrontanalytics.com.au, phone signal, and a matched LinkedIn profile for Ilana Lichtenstein.

Ilana Lichtenstein previously worked as Executive Level Data Scientist at Australian Public Service and Principal Data Scientist at Forefront Analytics. Ilana Lichtenstein holds Phd, School Of Information Technology from University Of Sydney.

Company email context

Email format at Australian Public Service

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{first}@forefrontanalytics.com.au
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Profile bio

About Ilana Lichtenstein

I am a data science professional with industry and research experience. I presently work for the Australian Bureau of Statistics and have the opportunity to work with large structured and unstructured datasets to sift through noise, and generate insights for our public decision makers. I am currently interested in exploring the use of retrieval augmented generation and knowledge graph architectures for information retrieval within organizations. I am also learning about and working in the AI governance and ethics space.I make an effort to keep my ML skills current through reading, completing short online courses (see below) and attending meetups and seminars. I work well within multi-disciplinary teams and enjoy the art of conveying data-driven insights to business in a meaningful way. I also participate in Data Science for social good initiatives where I can.

Listed skills include Machine Learning, Business Analysis, R, Research, and 16 others.

Current workplace

Ilana Lichtenstein's current company

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Australian Public Service
Australian Public Service
Data Scientist at Australian Public Service
Website
Employees
15948
AeroLeads page
11 roles

Ilana Lichtenstein work experience

A career timeline built from the work history available for this profile.

Executive Level Data Scientist

Current

Melbourne, Australia

- developing ML/DL models with deep learning frameworks (h2o.ai, tensorflow, pytorch)- building NLP pipelines with pytorch, transformers, and spacy frameworks- building custom interactive data science apps with streamlit, dash, shiny

Mar 2018 - Present

Principal Data Scientist

Melbourne, Australia

I developed and deployed analytics models in SAP/AWS cloud-hosted applications including for the following use cases:- identifying anomalies and change-points in streaming sensor data using time series and clustering techniques - forecasting product supply - scenario modeling to assist an FMCG production planning team identify feasible, low cost purchasing.

Jul 2015 - Feb 2018

Bi And Data Science Analyst

Melbourne, Australia

Employed time-series analysis techniques for improved milk supply forecasting.

Feb 2015 - Nov 2015

Academic Tutor

Melbourne, Australia

Casual tutor. Introduction to algorithms: basic sort and search algorithms, time and space complexity analysis, recursion, object-oriented programming concepts. Algorithms are described in conventional pseudo code and implemented in Python. AI and Machine Learning: graph-search algorithms (BFS,DFS,A-star), Markov Decision Processes, Bayesian Networks.

Feb 2014 - Jun 2015

Research Scientist

Victoria, Australia

Analysed interactions between genomic variations (snps) identified through genome wide association studies. Performed network analysis with SciPy and visualisation with matplotlib packages.

Aug 2012 - Feb 2013

Phd Candidate (Nicta Enhanced Student)

Sydney, Australia

As a NICTA enhanced PhD student, I worked with the statistical machine learning group in Canberra. Project work related to detecting "active subnetworks", or annotated pathways, associated with biological conditions. Machine Learning tools used include probabilistic graphical models (Markov Random Fields) and statistical methods.

Mar 2008 - Jul 2012

Phd Candidate

Sydney, Australia

My PhD studies were partly based at the Centenary Institute. Tasks included normalisation and differential expression analysis of microarray/RT-PCR gene expression data, purchase of institute network analysis software and organisation of training. I conducted presentations, meetings and liased with biological scientists throughout my PhD.

Mar 2009 - Jul 2012

Consultant

Dws

Melbourne, Australia

Client: Transurban - Prepared and executed system test cases, conducted meetings and walkthroughs, liased with business analysts and developers, identified project issues and risks.

Aug 2007 - Jan 2008

Intellectual Property Solicitor

Melbourne, Australia

Appealed decisions of the Patent Commissioner to grant/reject patents, worked widely on patent and trade mark infringement, and trade practices issues. Prepared legal advice, court documents and conducted legal research.

Nov 2006 - Jul 2007

Articled Clerk

Stephens Lawyers And Consultants

Melbourne, Australia

Reviewed patent material (scientific literature), drafted legal submissions, interviewed expert scientific witnesses and drafted affidavits for an international patent dispute. Drafted software licence agreements and supply of software and services agreements.

Aug 2005 - Sep 2006

Graduate Consultant

Melbourne, Australia

SAP NetWeaver and Business Information Warehouse (BW) - Peformed data warehouse extraction, front-end customisation, integration testing, system administration tasks, and prepared functional and technical specifications. Clients were in the financial and resources sectors. Completed 5 day SAP BW skills training. BExQuery Designer, BEx Analyzer.

Jul 2005 - Aug 2006
Team & coworkers

Colleagues at Australian Public Service

Other employees you can reach at apsjobs.gov.au. View company contacts for 15948 employees →

2 education records

Ilana Lichtenstein education

FAQ

Frequently asked questions about Ilana Lichtenstein

Quick answers generated from the profile data available on this page.

What company does Ilana Lichtenstein work for?

Ilana Lichtenstein works for Australian Public Service.

What is Ilana Lichtenstein's role at Australian Public Service?

Ilana Lichtenstein is listed as Data Scientist at Australian Public Service at Australian Public Service.

What is Ilana Lichtenstein's email address?

AeroLeads has found 1 work email signal at @forefrontanalytics.com.au for Ilana Lichtenstein at Australian Public Service.

What is Ilana Lichtenstein's phone number?

AeroLeads has found 2 phone signal(s) for Ilana Lichtenstein at Australian Public Service.

Where is Ilana Lichtenstein based?

Ilana Lichtenstein is based in Melbourne, Victoria, Australia while working with Australian Public Service.

What companies has Ilana Lichtenstein worked for?

Ilana Lichtenstein has worked for Australian Public Service, Forefront Analytics, Devondale Murray Goulburn, Monash University, and Nicta.

Who are Ilana Lichtenstein's colleagues at Australian Public Service?

Ilana Lichtenstein's colleagues at Australian Public Service include Matthew Mennilli, Kobi Kenny-Bell, Ryan Capone, Ian Allen, and Ben Lawrence.

How can I contact Ilana Lichtenstein?

You can use AeroLeads to view verified contact signals for Ilana Lichtenstein at Australian Public Service, including work email, phone, and LinkedIn data when available.

What schools did Ilana Lichtenstein attend?

Ilana Lichtenstein holds Phd, School Of Information Technology from University Of Sydney.

What skills is Ilana Lichtenstein known for?

Ilana Lichtenstein is listed with skills including Machine Learning, Business Analysis, R, Research, Software Development, Data Mining, Algorithms, and Python.

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