Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Timeline
Publications
Additional Activities
Generic
Sachin Wasnik

Sachin Wasnik

Seabrook

Summary

Dynamic Software Engineer with extensive experience in designing and developing innovative data science projects. Proven track record of leveraging cutting-edge technologies to drive impactful solutions and enhance business performance. Adept at collaborating with cross-functional teams to deliver high-quality results in fast-paced environments. Committed to continuous learning and staying current with industry trends to ensure the delivery of state-of-the-art software solutions.

Overview

17
17
years of professional experience

Work History

Digital Research Analyst

Deakin University, Intersect Australia
08.2022 - Current
  • Evaluated various RAG framework using llama index, langchain along with vector databases for internal chatbot.
  • Developed data collection pipeline for a project exploring the inequities in the healthfulness of online food delivery
  • Performed text analysis using BERT and GPT-2 on interview transcripts for a qualitative research project. Presented this work at eResearch Australia 2023, Brisbane
  • Applied machine learning models to identify the factors contributing to hospital re-admission for kidney disease.
  • Automated the process of generating the Work Readiness Scale reports for Deakin University students
  • Conducted various training courses for analytics and visualisation using Python and R.
  • Python

Data Science Consultant

Freelance Project, Purnanna Australia
06.2021 - 07.2022
  • Design and implemented the market basket analysis algorithm which identified relevant products for customers leading to increase in sales by 20%
  • Developed social media network analysis tool to identify new potential customers
  • Improved logistics by 40% using Locality Sensitive Hashing algorithm on data gathered from 2020 to 2021
  • Developed automation scripts in python for gathering and preprocessing data
  • Spearheaded complete restructuring of the database to improve web service response time
  • Implemented microservices architecture allowing for rolling update of the website without interruption
  • Implemented various time series forecasting models to predict surge in customer orders
  • Python
  • JavaScript

Research Software Engineer

Global Research Data Science, CSL
05.2020 - 09.2020
  • Liaise with bioinformatician to develop a portal for Next Generation Sequencing (NGS) workflows submission to HPC cluster.
  • Introduced new features in the portal to fetch and update public datasets.
  • Developed data dashboards for life scientists to analyse data from studies related to respiratory diseases.
  • Generated visualisations and (R markdown) reports informing higher management for technical evaluation and acquisition of services.
  • Python
  • R
  • JavaScript
  • Azure

Research DevOps Engineer

Epidemiological Modelling Unit, Monash University
12.2018 - 12.2019
  • Liaise with Epidemiologist to build modelling platform.
  • Developed deterministic models (dynamic transmission models) and used Markov Chain Monte Carlo methods for parameter estimation and model calibration.
  • Improved the execution time of complex models, by utilising the Monash University Cluster.
  • Python
  • R
  • JavaScript

eResearch Trainer

Intersect, Australia
03.2018 - 11.2018
  • Led training courses for Data Analysis and Data Visualisation in python, R, Matlab, Linux and Git.
  • Supported researchers across different universities in NSW to take advantage of Cloud Computing and HPC.
  • Python
  • Matlab
  • R

Research Associate

Urban Housing Lab, University of Sydney
03.2014 - 03.2017
  • Utilized machine learning and big data in the areas of urban informatics and smart cities
  • Https://apo.org.au/node/69522
  • This work was presented at the Australian Housing Research Conference AHRC (2016) and Australian Smart Communities Conference (2018)
  • Developed data collection utilities in python for the use of researchers in Urban Housing Lab.
  • Python
  • Numpy
  • Pandas
  • Scikit-learn

Scientific Computing Officer

Centre of Excellence Particle Physics, University of Sydney
11.2011 - 11.2013
  • Implemented various classification algorithms in python and run it on HPC cluster
  • Developed utilities in python for the maintenance and scalability of the HPC cluster.
  • Python
  • Numpy
  • Pandas
  • Puppet
  • GIT

Software Engineer/ Development Lead

Tivoli Autonomic Computing, IBM Software Labs
03.2009 - 11.2011
  • Subject matter expert on developing, troubleshooting, debugging and testing Prerequisite Scanner product which helped to reduce time to value for Tivoli products.
  • Organised scrums and tracked the day to day work of developers, ensuring that all developers were following the project schedule properly and compliant with the development process.
  • Contributed to the development and enablement for Log and Trace Analyzer by interacting with worldwide global IBM team.
  • Java
  • Agile
  • Shell Script

Education

PhD - Fatigue detection in EEG Time Series using Deep Learning

University of Sydney
05.2021

Skills

  • Core Languages: Python (Numpy, Pandas), R
  • ML/DL Framework: Keras, Tensorflow, Kubeflow, PyTorch, Scikit-Learn
  • Databases: MongoDB, MySQL, PostgreSQL
  • CI/CD tools: Git, Jenkins, Docker, Kubernetes, MLflow
  • Visualization tools: Tableau, R, Matplotlib
  • Web technologies: JavaScript

Accomplishments

  • Kaggle Competition Expert (in Top 2% out of 134,432 Kaggle Member) with one silver and bronze medal
  • Https://www.kaggle.com/swasnik/competitions
  • Research Paper titled "The scaling of income distribution in Australia: Possible relationship between urban allometry, city size and economic inequality" highlighted in Sydney Morning Herald.
  • IBM Bravo Award for outstanding contribution and leadership towards the IBM Tivoli Prerequisite Scanner
  • IBM Client Focus Award for Prerequisite Scanner Project.
  • Book chapter: “Self Managing Middleware for Dynamic Infrastructure” published in a book titled Horizons in Computer Science Research, Nova Science Publishers.

Timeline

Digital Research Analyst

Deakin University, Intersect Australia
08.2022 - Current

Data Science Consultant

Freelance Project, Purnanna Australia
06.2021 - 07.2022

Research Software Engineer

Global Research Data Science, CSL
05.2020 - 09.2020

Research DevOps Engineer

Epidemiological Modelling Unit, Monash University
12.2018 - 12.2019

eResearch Trainer

Intersect, Australia
03.2018 - 11.2018

Research Associate

Urban Housing Lab, University of Sydney
03.2014 - 03.2017

Scientific Computing Officer

Centre of Excellence Particle Physics, University of Sydney
11.2011 - 11.2013

Software Engineer/ Development Lead

Tivoli Autonomic Computing, IBM Software Labs
03.2009 - 11.2011

PhD - Fatigue detection in EEG Time Series using Deep Learning

University of Sydney

Publications

  • Journal Papers:
  • S. Sarkar, P. Phibbs, R. Simpson, S. Wasnik “The scaling of income distribution in Australia: Possible relationship between urban allometry, city size and economic inequality”: Environment and Planning B: Urban Analytics and City Science, 2018
  • PV. Jithesh, D. Donachy, T. Harmer, N. Kelly, R. Perrott, S. Wasnik et al. (2006) GeneGrid: Architecture, Implementation and Application. Journal of Grid Computing. Vol. 4 Number2 / June 2006.
  • Conference Proceedings:
  • Sachin Wasnik, Ameeta Jain, Raghu Tirumala - "Deep Learning for Text analysis" eResearch Australasia Conference, Brisbane, October 16-20, 2023.
  • Sachin Wasnik, Sowmitra Sarkar, Nicole Gurran, Sanjay Chawla, Peter Phibbs - "The Role of Social Media in Housing Market Information Dynamics" Australasian Housing Research Conference, New Zealand, February 17-19, 2016.
  • Sachin Wasnik, Terrence Harmer, Paul Donachy, Andrew Carson, Peter Wright, John Hawkins, Christina Cunningham, Ron Perrott - “Self Managing Middleware for Dynamic Grids” - Advances in Grid and Pervasive Computing, LNCS, volume 4459 Proceedings of the 2nd International Conference on Grid and Pervasive Computing, Paris, France, May 2-4, 2007
  • Sachin Wasnik, Paul Donachy, Terence Harmer, Ron Perrott, PV. Jithesh et al. (2006) GeneGrid: From “Virtual Bioinformatics Laboratory” to “Smart Bioinformatics Laboratory”. Proceedings of19th IEEE International Symposium on Computer Based Medical System (CBMS 2006), Jun 22-23, 2006
  • Sachin Wasnik, Mark Prentice, Noel Kelly, PV. Jithesh, Paul Donachy, Terence Harmer, Ron Perrott et al (2005), Resource Monitoring and Service Discovery in GeneGrid UK e-Science All Hands Meeting (AHM 2005), Nottingham, Sep 19-22, 2005.
  • PV. Jithesh, Noel Kelly, Sachin Wasnik, Paul Donachy, Terence Harmer, Ron Perrott et al. (2005) Bioinformatics Application Integration in GeneGrid, UK e-Science All Hands Meeting (AHM 2005), Nottingham, Sep 19-22, 2005.
  • Noel Kelly, PV. Jithesh, Sachin Wasnik, Paul Donachy, Terence Harmer, Ron Perrott et al (2005) The GeneGrid Portal: A User Interface for a Virtual Bioinformatics Laboratory, UK e-Science All Hands Meeting (AHM 2005), Nottingham, Sep 19-22, 2005.
  • PV. Jithesh, Noel Kelly, Sachin Wasnik, Paul Donachy, Terence Harmer, Ron Perrott et al. (2005) GeneGrid: Grid Service Based Virtual Bioinformatics Laboratory Workshop on Grid Applications: from Early Adopters to Mainstream Users, Global Grid Forum (GGF 14), Chicago, Jun 26-30, 2005

Additional Activities

  • Co-host of Sydney Analytics Club Meetup group of 700 members
  • External reviewer for International Journal of High performance Computing
Sachin Wasnik