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