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Microsoft
Data Scientist
June 18, 2026 – Present
DSA_CRACK_SHEET_SOLUTION_LOVE_BABBER
October 20, 2020 – January 18, 2021
All solution of DSA CRACK SHEET
View ProjectData_Structure_Problem
March 9, 2020 – March 9, 2020
Question Realted to Data Structure which were asked into companies like google amazon microsoft
View Projectproject-_eular_solution
March 2, 2020 – July 3, 2021
solution of project eular problems. Problems are taken from https://projecteuler.net/
View ProjectTwitter-Treading-topics-City-based-
May 26, 2019 – January 15, 2020
this is web app built in r and php help to find treding topics from twitter from particular city
View ProjectTitanic-Passenger-Survival-Prediction-
April 25, 2019 – April 25, 2019
Titanic Survival Prediction using K-Nearest Neighbor Algorithm with 90 percent accuracy. Used K-fold cross validation algorithm for handle over fitting and used Grid Search for Find Best Parameter using Kaggle titanic Passenger Dataset
View ProjectProbability-that-Customer-Leave-Bank-Using-ANN-
April 25, 2019 – April 25, 2019
Using Artificial Neural Network finding the Probability that customer will leave the bank or not, Using the data of last 6 months Customers Behavior. In dataset there is information of 10,000 Customer
View ProjectDog-Cat-Image-Classification-using-CNN
April 25, 2019 – April 25, 2019
This Program will classify Dogs and Cats Images using convolutional neural networks with help of Relu and Sigmoid Activation
View ProjectKaggle-House-Price-Prediction-Multipal-Liner-Regression
April 17, 2019 – April 19, 2019
Kaggle Problem Solution
View Projectspamdetector-with-django-and-machine-learning
April 9, 2019 – August 8, 2023
This spam detection web app created using django and machine learning naive byes algorithm. You can enter message and it will detect whether message is spam or not using machine learning
View ProjectBoston-Hosing-Price-Liner-Regression
August 5, 2018 – August 5, 2018
house price prediction on boston dataset
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in machine learning and data science, aligning well with a Data Scientist role. The diversity of projects, from web applications to core ML models, indicates a broad technical curiosity. However, the lack of team-based projects or detailed descriptions of collaboration limits the assessment of cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results available for evaluation.