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Parneet Kaur
Sandhu

Data Scientist | Machine Learning
Engineer | AI Enthusiast

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Hi there!

I'm Parneet Kaur Sandhu, a dedicated Data Scientist with extensive experience in machine learning, predicting patterns, and analyzing maps and locations. I'm good at using big sets of information to find useful ideas that can help make things better. I enjoy turning simple data into smart plans, using special methods and modern tools to help make good choices.

Work Life Harmony
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Explore Me

Experience

Sep 2024 - Present

PRODUCT EVALUATOR

PHIA, NEW YORK (Remote)

Evaluated and analyzed the performance of Phia products, Testing their beta identifying areas for improvement and optimization.

Jun 2024 - Jul 2024

DATA SCIENCE INTERN

DOSH.AI, NEW DELHI

  • Web Scraped and preprocessed over 10,000 data points using Beautiful Soup, ensured 95% data quality for analysis.
  • Developed predictive models with 90% accuracy by implementing machine learning algorithms and optimizing hyperparameters using Optuna.
  • Applied NLP techniques with Spacy for a multi-class classification project, achieving 85% accuracy in predicting labels.

Jun 2023 - Jul 2023

PYTHON DEVELOPER INTERN

TECHNOPEDIA SOLUTIONS PVT LTD, BATHINDA

  • Automated data processing and analysis tasks, reducing manual workload by 30% with efficient Python scripts.
  • Conceptualized and executed new web application features such as Flask/Django, Boosting user engagement by 15%.
  • Executed python projects using MySQL for backend data management.
Cat
Skills Table

Skills

Technical Skills

Programming Languages: Python, Java, C++, C, SQL, Matlab
Tools: Jupyter Notebook, VS Code, Git/Github, Docker, Optuna, Colab, Kaggle
Frameworks and Libraries: TensorFlow, Transformers, Scikit, Pandas, PyTorch, Pygame, Spacy, Matplotlib, Seaborn, OpenCV, BERT
Web Technologies: HTML, CSS, JavaScript, Django, Flask

Areas of Interest

Data Science, Web Scraping, Model Training, Machine Learning, Data Cleaning, Data Analysis, Data Visualization, Natural Language Processing (NLP), Geospatial Analysis, Deep Learning, Large Language Models, Computer Vision

PROJECTS

Virtual Try On

Virtual Try On

Github
FarmTech

FarmTech

Github
Egyptian Hieroglyphs

Egyptian Hieroglyphs

Github
Pacman

Pacman

Github
British Airways Data Science

British Airways Data Science Job Simulation

Github
Minesweeper

Minesweeper

Github

BLOGS

Virtual Try-On Blog

Building a Virtual Try On with Python, OpenCV, and Tkinter

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Data Analysis Blog

Data Analysis with YData Profiling: A Game Changer for Data Scientists.

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