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Assessing your cultural and operational fit
Accenture
Data Scientist
June 16, 2026 – Present
QuickMark
September 8, 2024 – September 13, 2024
QuickMark is google chrome bookmark extension
View ProjectCovid-19-Data-Exploration
December 15, 2021 – December 15, 2021
Covid-19-Data-Exploration — GitHub repository
View ProjectSuperstore-Sales-EDA-metrics
December 5, 2021 – December 5, 2021
Superstore Sales EDA metrics with Dynamic PowerBI dashboard.
View ProjectSales-analysis-using-PowerBi-and-Excel
December 5, 2021 – December 5, 2021
Sales analysis using PowerBi and Excel
View ProjectKPMG-Data-Analytics-Virtual-Internship
December 1, 2021 – December 1, 2021
This repository contains related work for the tasks assigned during the Data Analytics Consulting Virtual Internship offered by KPMG with Forage.
View ProjectHack4Equity_Parenchute
September 23, 2021 – September 23, 2021
One stop shop for better experience while healthcare
View ProjectCapstone-project-for-Excel-to-MySQL-Analytic-Techniques-for-Business-at-Duke-University-on-Coursera
June 22, 2020 – June 22, 2020
Analytic-Techniques-for-Business Capstone project for Excel to MySQL: Analytic Techniques for Business at Duke University on Coursera
View ProjectDrone-Controlling-using-python
July 7, 2018 – July 7, 2018
DJI Tello drone controller python package
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a breadth of interests, from data analytics to web extensions and drone control, which could indicate adaptability. However, the projects are primarily personal and academic, with limited insight into collaborative or team-based work environments. The single professional experience entry as a Data Scientist at Accenture is listed as current with a future start date (2026), which makes it difficult to assess actual professional experience or cultural fit within a corporate setting.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.