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Data-Analysis-Fitness-Brand
April 29, 2024 – May 4, 2024
Analysing customer data of a fitness brand. Conducting Hypothesis Tests to derive business insights and decisions.
View ProjectSMS-Spam-Detection
April 21, 2023 – April 22, 2023
We go through a dataset consisting of SMS, and having labels as "spam" and "ham". Our task is to create a classification model.
View ProjectCustomer-Footfall-Forecasting
April 14, 2023 – April 16, 2023
Working on a Time series to forecast the expected number of visitors at a restaurant, using a series of forecasting models.
View ProjectGithub_for_DataScience_Tutorial
January 18, 2023 – January 19, 2023
This repo is aimed to aid in the teaching of concepts of Git and Github
View ProjectAPI-Demo-Repo
December 8, 2022 – December 8, 2022
This repo is created by making a POST request to the Github API using Python
View ProjectCustomer-Segmentation
November 15, 2021 – December 3, 2021
Using K-Means Algo to segregate different customer groups
View ProjectWine_Quality_Prediction
November 12, 2021 – February 7, 2022
Wine_Quality_Prediction — GitHub repository
View ProjectDiabetes_Prediction
October 25, 2021 – October 25, 2021
Diabetes_Prediction — GitHub repository
View ProjectFreeCodeCamp_DataAnalysisWithPython_Solutions
September 24, 2021 – September 27, 2021
This repository contains the solution to the "Data Analysis With Python" course offered by Free Code Camp
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on data analysis and machine learning, which may not directly align with a general 'Software Engineer' role without further evidence of software development practices. The breadth of technologies is limited, primarily revolving around Jupyter Notebook and Python for data science tasks, with some basic HTML/CSS. This suggests a potential fit for data-centric roles but less so for broader software engineering without additional skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily individual data analysis tasks, offering limited insight into collaboration, problem-solving under pressure, or communication in a team setting.