Experience

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  Kaggle

  Mar 2022 - Apr 2022

  1. Build a predictive model to evaluate survival rate using passenger data (name,age, gender, socio-economic class, etc)2. The training set was used to build machine learning models3. Test set was used to see how well the model performs on unseen dataformson unseen data4. For each passenger in the test set, trained model was used to predict theirsurvival in the sinking of the Titanic 1. Analyzed what content is available in different countries2. Identified similar content by matching text-based features3. Network analysis of Actors / Directors to find interesting insights 1. Preprocessed data to make it ready for analysis2. Visualize data for better insights by bivariate and multivariate analysis3. Technology used - (numpy, pandas, matplotlib, seaborn)

  • Titanic - Machine Learning from Disaster

    Apr 2022 - Apr 2022

  • Netflix Movies and TV Shows

    Apr 2022 - Apr 2022

  • EDA for cardio fitness

    Mar 2022 - Mar 2022
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  Coursera

  May 2022 - May 2022

  1. Created a recommendation system from scratch using past user behaviour2. Worked on a movie lense dataset to give unique movie recommendation3. Worked with Pandas, NumPy, Matplotlib, Scikit-surprise 1. Preprocessed and calculated needed measures for analysis2. Merged two datasets and finding correlations among the datasets3. Visualized analysis results using Seaborn

  • Movie recommendation system

    May 2022 - May 2022

  • COVID-19 data analysis

    May 2022 - May 2022
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  Vitara enterprises

  Jun 2022 - Jul 2022

  Intern

  1. Created and maintained optimal data using Tableau/Power BI2. Worked on day-to-day stock analysis and predictions3. Worked with data and analytics experts to strive for greater functionality in the datasystem

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  Plantd.life

  Jan 2024 - now

  Qa/ python