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Data Scientist
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Citiustech
Data Scientist
June 16, 2026 – Present
Spam_Email_Detection_Using_Deep_Learning
November 17, 2021 – November 18, 2021
This repository contains the implementation of spam email detection using Dataset.csv, Dataset has spam and ham labels and associated text. I am using Deep Learning to detect Spam /Ham emails.
View Projectpython-using-pycharm-basic
October 6, 2021 – October 9, 2021
This repository will contain basic python programs on python using pycharm IDE
View ProjectPython_End_to_End_in_detail
October 5, 2021 – May 20, 2023
It contains python programming start to end required for Machine learning
View ProjectAnlysis-of-World-Happiness-Report-using-Machine-Learning
October 2, 2021 – October 2, 2021
Anlysis of World Happiness Report using Machine Learning Approch
View ProjectSentiment-Depression--Analysis-Using-Machine-Learning-Decision-Tree-Naive-Bayes-RF-for-Tweets
September 27, 2021 – October 3, 2021
Depression Analysis using tweets. Contains implementation notebook, with detailed analysis for depression prediction.
View ProjectPandas-End-to-End-Tuts
September 24, 2021 – October 4, 2022
Pandas in deatils tutorials notebook for understanding insights of library and various operations.
View ProjectNumpy-End-to-End-in-detail
September 24, 2021 – June 18, 2022
Repository contains the detailed implementation of numpy with each and every required functions. A beginer data scientist can start learning numpy using this notebook.
View ProjectMachine-Learning-Linear-Regression-on-Boston-Dataset
September 24, 2021 – October 1, 2021
I have implemented Linear regression on boston dataset to predict the house prices.
View ProjectMachine-Learning-using-LogisticRegression-on-IRIS-dataset-
September 24, 2021 – September 24, 2021
This repository contains implementation of LogisticRegression on IRIS dataset.
View ProjectThyroid-Disease-Detection-using-Machine-Learning-Algorithms
September 23, 2021 – September 24, 2021
To implement the classical machine learning algorithmic tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building and Testing a Model.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on individual machine learning implementations, indicating a self-starter approach. The diversity of project topics (NLP, medical, general ML) suggests a broad interest within the data science domain. However, without team-based project experience or further details, assessing collaboration and broader cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.