Data Scientist / Machine Learning Engineer/ Data Analyst

Data Scientist skilled in ML, forecasting analytics, delivering production-ready insights across VR, healthcare & policy
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Work expectations

Status
Actively looking
Not looking
Not looking
Open to new opportunities
Location
Melbourne
-
Open to relocating
Commitment
Full-time, Casual / Contract / Part-time, Join as a startup co-founder, Internship
Availability from time of offer
Immediately
Years of experience
1-2 years
Top 3 languages or frameworks
Python, R, MySQL
Also knows
Data visualisation Tableau, PowerBI
Preferred work environment
Hybrid, Fully remote, In the office
Strengths
My key strengths lie in building practical, business-focused data science solutions from end to end. I excel at data cleaning, feature engineering, statistical analysis, and developing machine learning models that are reliable, interpretable, and deployable. I am particularly strong in applied machine learning, including classification, forecasting, clustering, and computer vision, using tools such as Python, R, Scikit-learn, PyTorch, and SQL. I also have strong data visualization and storytelling skills, enabling me to communicate insights clearly to both technical and non-technical stakeholders. Companies should hire me for my ability to combine analytical depth with real-world impact I focus not just on model accuracy, but on delivering insights that support decision-making, efficiency, and measurable outcomes.
Interested in working involving
I’m looking for analyst , sales , business , data science related roles
Not interested in work involving

Other information
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia

Pay expectations

Full-time
$
60000
per year
Casual / Contract
$
per hour
Pay is negotiable in exchange for equity
Pay is negotiable in exchange for equity
Pay is not negotiable in exchange for equity
Open to equity only roles
Not open to equity only roles

Referred by

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Work experience

Proudest professional achievement

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Education

I am currently pursuing a Master of Science in Data Science at RMIT University, Melbourne (expected Aug 2026), where my coursework and projects focus on applied machine learning, statistical modeling, forecasting, data visualization, and real-world analytics.

I previously completed a B.Tech in Artificial Intelligence and Data Science from Sri Venkateswara College of Engineering, Chennai, graduating with a CGPA of 8.89. During my undergraduate studies, I built a strong foundation in machine learning, deep learning, computer vision, statistics, and data engineering.

My academic work includes large-scale statistical analysis of healthcare datasets, predictive modeling for heart disease and diabetes, deep learning projects using CNNs and PyTorch, recommender systems, and time-series forecasting. I have also published peer-reviewed research on CNN-based gender classification, presented at the 4th ICECCE Conference in Dubai.

My education combines strong theoretical grounding with extensive practical, project-based experience aligned with industry applications.

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