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Harmanpreet S.

Data Scientist | ML | Computer Vision | NLP

Can work in or around Sydney, Melbourne, Canberra

  • -33.7638
  • 150.924
  • Suggested rate £193 / day
  • Experience 0-2 years
Propose a project The project will begin once you accept Harmanpreet's quote.

This freelancer is available full-time but hasn't confirmed their availability in over 7 days.

Propose a project The project will begin once you accept Harmanpreet's quote.

Location and workplace preferences

Sydney, Australia
Can work onsite in your office in
  • around Sydney and 50km
  • Around Melbourne and 50km
  • Around Canberra and 50km


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Verified email



  • English


  • Punjabi

    Native or bilingual

  • Hindi

    Native or bilingual


Skills (12)

Harmanpreet in a few words

Data Scientist with more than 2 years of hands-on experience dealing with wide array of complex datasets across various domains.

Main areas of expertise :-
- Developing end-to-end ML pipelines on cloud
- Data Wrangling & Data Visualization
- Model Development & Training
- Statistics
- Computer Vision
- Natural Language Processing

Tech Stack:-

Programming Languages: Python, SQL, HTML, JavaScript, C
Data Visualization: Matplotlib, Seaborn, Tableau
Data Analysis: Pandas, Pandas-Profiling, Tableau Prep, Dtale
Data Extraction: BeautifulSoup, Requests, Restful-Api
Web Development: React JS, Flask, FastApi, Sqlalchemy, Streamlit
Machine Learning: Scikit-Learn, NumPy, SciPy, Pandas, Yellowbrick
Deep Learning: Pytorch, FastAI, Tensorflow, Keras
Computer Vision: OpenCV, Pillow, Scikit-Image, Imgaug
Natural Language Processing: Spacy, Gensim, Transformers, NLTK
Big Data: DataBricks, Spark, MLlib
Cloud: AWS, Google Cloud Platform (GCP)
Version Control: Git




ML Engineer  - As a freelancer

Sydney, Australia

October 2020 - February 2021 (4 months)

-Helped a client to develop a Regression framework for ML based calibration of low cost ozone sensor using Environmental data.
-Assisted in EDA (Exploratory Data Analysis) and data visualization
-Supervised model development with final coefficient of regression resulted in getting doubled (0.62) from the initial baseline model



Data Scientist Intern

Sydney, Australia

March 2021 - Today (1 year and 10 months)


1. Events Manager
- Created an event managing webapp for a news-publication client to help them in generating content based on local events.
- Implemented the app using Flask at the backend and React JS on the frontend

2. Topic Analytics
- Created a Jupyter notebook to perform auto-classfication and generate topic level insights using advanced NLP techniques.
- Generated topics from article body for 20K+ articles using LDA (Latent Dirichlet Allocation) and NMF (Non-Negative Matrix Factorization)
- Utilised NLTK & Spacy for processing text and Scikit-Learn & Gensim for implementing the unsupervised learning algorithms.

Hiten Chojer - Academia


Harman is an outstanding engineer whose in-depth knowledge invoked and fuelled our at-length discussions on supervised machine learning. Apart from that he also has a lot of industry experience and knowledge, which helps him in understanding the real world scenarios along with the data analysis that he performs. Hence, it gives him an edge over his peers in understanding and discussing the results arising from his work.