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  • Santa Clara, California

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harshtandon23/README.md

Hi, I'm Harsh 👋🏻 👨🏻‍💻

banner that says Harsh Tandon - Data Scientist, converting data into value alongside a cartoon illustration of Harsh

I’m a budding Data Scientist adept in collecting, analyzing, and transforming data into insights. My background in Information Technology and Data Analytics provides me with extensive analytical skills to wrestle with large & complex data. I am currently pursuing a Master of Science degree in Business Analytics at Santa Clara University and my passion for Data Science allows me to provide data-driven, action-oriented solutions to challenging business problems.

With deep expertise in Machine Learning, Data Mining, and Statistical Analysis, I’m also proficient in Marketing Analytics, NLP, Deep Learning, and Data Visualization. I am excited to walk the uncanny valley of research and development, and I enjoy learning new things while thriving in challenging environments.

The world today is facing a situation of data deluge, and I believe, through my passion and skills, I can unlock its significant potential and aid businesses into efficient forecasting and planning.

When I’m not studying/working 📚, I love to travel ✈️, explore the world 🏕️, sketch 🎨 and workout 🏋️‍♂️.

Languages and Tools:

Python

Jupyter

R

SQL

Spark

Spyder

Plotly

Tableau

Kubernetes


Find me around the web 🌎:

Harsh Tandon | LinkedIn Harsh Tandon | Gmail Harsh Tandon | Gmail Harsh Tandon | Instagram

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  1. Neural-Machine-Translator Neural-Machine-Translator Public

    Based on Google's paper 'Attention Is All You Need', this sequence to sequence model speeds up RNNs by using 'Attention', enabling parallelization.

    1

  2. Data-Science-with-Python Data-Science-with-Python Public

    Use a complete set of open source tools for data science in Python, including the Jupyter Notebook, NumPy, Pandas, Seaborn, scikit-learn, Colab, and many others. Cover the various phases of explor…

    Jupyter Notebook 2 1

  3. Machine-Learning-Algorithms Machine-Learning-Algorithms Public

    Classifying 'Survived' and 'Not Survived' from Titanic dataset using Machine Learning algorithms such as Gradient Boosting, Random Forest, Multi Layer Perceptron, SVM and Logistic Regression.

    Jupyter Notebook

  4. Causal-Effect-of-Cigarettes-on-CHD Causal-Effect-of-Cigarettes-on-CHD Public

    Is cigarette smoked per day a factor in determining whether a patient suffers from Coronary Heart Disease? In this analytical study, we can conclude the consistent evidence supporting a causal role…

    HTML 1

  5. Movie-Recommendation-System-using-ML Movie-Recommendation-System-using-ML Public

    Menu Driven program to recommend movies to a selected user. Recommendation System is created using Low Rank Matrix Factorization.

    Jupyter Notebook

  6. Marketing-Analytics Marketing-Analytics Public

    Apply Media Mix Modeling using AdStock variables, Segmentation and Targeting, Forecasting using Bass Models, Multinomial Logit Model to help assess the results of campaigns and tests, and Customer …

    R 4