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Investment Analyst >> Exploring Data >> Helping Businesses >> Making Individuals' Lives Easy
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Assessing your cultural and operational fit
NaN-Replacement-
February 21, 2022 – February 21, 2022
NaN-Replacement- — GitHub repository
View Project-McKinsey-Big-Data-Hackathon_PYTHON
January 4, 2022 – February 9, 2023
McKinsey Big Data Hackathon_PYTHON models are built on Python Language.
View ProjectPremium-Pay-Model
March 25, 2021 – March 25, 2021
This Model calculates the impact on stock returns, with respct to premium pay. Any it's impact over the long term.
View ProjectNIFTY-Volatility-Prediction
February 4, 2021 – November 17, 2021
NIFTY Movement Prediction (NOT TIME SERIES FORCATIONG), based on Volumes, Forex movement, GSec movement, Oil change movement, FII and DII movement.
View ProjectBasics-Statistics-in-R
June 22, 2020 – June 24, 2020
Basics Statistics in R - Descriptive Stats to Inferential statistics
View ProjectCOVID-19-Twitter-Analysis
March 12, 2020 – March 29, 2020
Twitter Analysis on Top countries - Health Department regarding COVID19 virus update since the first case detected as on 31/12/19 in China. The Study includes, World Health Organization twitter data, plus, India, USA, UK, and Australia's health department twitter account analysis.
View ProjectThe-Famous-Titanic-Study
October 5, 2019 – July 4, 2020
Predict The Famous Titanic Survival Study based on based on demographics like Passenger Class, Age etc. For the study, data is chosen from kaggle (Kaggle + Wikipedia)
View ProjectProduct-Market-Segmentation-PCA-Regression-Analysis
September 18, 2019 – July 10, 2020
Perform Principle Component Analysis on the Data set and use Regression method to customer satisfaction for market segmentation on FMCG product.
View ProjectThailand-Customer-Engagement-Facebook
July 22, 2019 – July 8, 2020
Facebook pages of 10 Thai fashion and cosmetics retail sellers. Posts of a different nature (video, photos, statuses, and links). Engagement metrics consist of comments, shares, and reactions.
View ProjectCricket-World-Cup-2019
June 5, 2019 – July 7, 2020
ICC Cricket World Cup 2019 - Cricket Match Prediction Game
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on data analysis and prediction. While demonstrating initiative, there is no evidence of collaborative projects or experience in a professional team setting, which is crucial for cultural fit in many organizations. The projects align with the technical aspects of a Data Scientist role but lack diversity in terms of industry application or scale.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects.