➢ By using NBA data between 2003-2020, performed analysis and visualized some of the results using pandas, numpy, matplotlib and interactive python functions. Created players and teams performance Comparison models, answered a set of questions about players’ performance and teams’ performance by my analysis. Built Predictive models like Regression and Classification to predict performance.

Technologies: Python, Numpy, Pandas, Matplotlib, Data Analysis, Ipython, Data Visualization

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➢ From the dataset of more than 30 million donations, I analyzed how much money each candidate received in 2020 US Election, also finding mean, median of donations for each candidate, unique contributors, monitoring small contributors and their impact on Presidential Campaigns. Implemented code locally using Spark Shell and on cloud using AWS EC2 which provided faster implementation of Dataframes using SparkSession from pyspark.sql

Technologies: Python, Apache Spark, SparkSession, PySpark, AWS EC2, AWS S3, Numpy, Pandas, Matplotlib

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➢ Performed analysis on COVID-19 cases, deaths and vaccines datasets for all counties and states in the United States. Also, I created an interactive dashboard for my results. Also found out how vaccines impacted on new cases, deaths percentage and whether any state or county reached herd immunity using numpy, pandas, seaborn and matplotlib.

Technologies: Python, Numpy, Pandas, Matplotlib, Data Analysis, Data Cleaning, Jupyter, Seaborn

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➢ Data Analysis of the different Indian Cuisines across NY to decide which restaurant has best average rating from dataset of different restaurants provided by IBM. Performed Data Cleaning, Exploratory Data Analysis, Data Visualization using matplotlib, seaborn and exported data analysis results into Tableau to create interactive charts.

Technologies: Python, Folium, Numpy, Pandas, Matplotlib, Data Analysis, Ipython, Data Cleaning

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➢ To organize everyday busy life, we have come up with this daily routine application which will helps us to schedule our daily routine and maintain daily checklist. In this to-do list app, we can update our daily routine as well as weekly tasks. We can also delete and add the task from morning to night and set reminders, we can also see the previous task performed in previous months, weeks and days.

Technologies: iOS, Apple Xcode Toolkit, iOS SDK, React Native, Xamarin

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➢ Campus Recruitment System as the name states is used for helping the companies to get the best candidate and directly come in contact with the student, in the same way student get to know about the jobs and the companies directly. It provides transparent communication between company hiring candidates and job seeking students.

Technologies: Android Studio, Firebase Database, Android SDK, Java

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