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Analytics Enthusiast working on Python, SQL, Excel and Tableau.
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Assessing your cultural and operational fit
IS-445_Final_Project
December 9, 2022 – December 31, 2022
This is the final project for IS-445 Data Visualization
View ProjectTSP
January 3, 2021 – January 3, 2021
This project is part of my Internship at The Sparks Foundation as Data Science Intern
View ProjectAnalyzing_Paper_Company_Database
July 20, 2020 – July 21, 2020
Used Postgres SQL to analyze Parch and Posey Paper Company data
View ProjectAnalyzing_MusicStore_Database
July 16, 2020 – July 16, 2020
In this project, I have queried Music Store Database named Chinook to answer 8 questions using SQL aggregations and joins
View ProjectAnalyze_NYSE_Data
July 11, 2020 – July 11, 2020
In this project, I have created interactive Profit and Loss Dashboard, Financial Forecasting model for over 500 companies and compared 3 banks based on summary statistics to provide insights in presentation form
View ProjectTwitter_Data_Analysis
July 9, 2020 – July 18, 2020
Gathered, assessed and cleaned 5000+ tweets of WeRateDogs account from 3 sources. Analyzed and visualized the same to answer 4 key questions from the cleaned dataset
View ProjectAB_Testing_Web_Traffic
July 7, 2020 – July 14, 2020
In this project, I have analyzed the A/B Test results of a company who has implemented a new web page design. The goal here is to suggest whether they should stick with old version or new version of page based on probability, hypothesis testing and logistic regression.
View ProjectFuel_Economy_Data_Analysis
July 2, 2020 – July 14, 2020
In this project, I have gathered, assessed, cleaned fuel economy datasets for the year 2008 and 2018. I have also utilized exploratory and explanatory plots to draw insights and conclusions for a set of questions.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data analysis and visualization, which aligns with a Data Scientist role. The diversity of projects (e.g., A/B testing, fuel economy, Twitter data, NYSE data) suggests a broad interest in applying data science techniques across different domains. However, the lack of team-based projects or explicit collaboration details makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on structured data analysis tasks.