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Harmanpreet S.
Data Scientist | ML | Computer Vision | NLP
1 recommendation
  • Suggested rate
    $233 / day
  • Daily rate details

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    This rate is for suggestive purposes only. The freelancer will send you a tailored quote based on the details provided in your project proposal.
  • Experience0-2 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Harmanpreet's quote.
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Location and workplace preferences
Sydney, Australia
Can work onsite in your office in
  • Sydney and around (up to 50km)
  • Melbourne and around (up to 50km)
  • Canberra and around (up to 50km)

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Expertise (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

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  • Google

    Menlo Park, CA, USA

    September 1998 - Today   25 years
    If I had to sum up my life up to this point, I'd say it's been one heck of a ride...

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1 recommendation

Hiten Chojer recommend Harmanpreet

Hiten ChojerHC
Hiten Chojer
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.

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