Key Strengths

Demonstrated foundational understanding of various machine learning algorithms (Logistic Regression, SVM, Random Forest).
Experience with data analysis and manipulation using Python and Jupyter Notebook.
Practical application of ML models to diverse problem domains (fraud detection, medical prediction, price prediction).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal and focus heavily on foundational machine learning model implementation. While this shows initiative, the lack of team projects, diverse technologies beyond Python/Jupyter Notebook, or contributions to larger systems suggests a potential gap in experience with collaborative development environments and broader data science ecosystems. The projects align with a Data Scientist role, but the depth and breadth of tools used are limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to articulate technical concepts, but there are no direct assessments of collaboration, stress handling, or logical reasoning.

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Japanjot Singh

Data Scientist

https://www.opentalent.in/japanjot-singh

Data scientist with expertise in Prediction modelling, machine learning and data visualization. Dedicated to leveraging data-driven insights.

New DelhiMember since June 12, 2026

https://www.opentalent.in/japanjot-singh

Top Skills

PythonJupyter Notebook

Skills

PythonJupyter Notebook

Projects

AI_EDA_Assistant

January 31, 2024 – July 16, 2025

AI_EDA_Assistant 🤖💻 is an automated web application which automatically collects 🗃️ the data and perform almost all basic tasks✅ for example checking duplicate values , null values , correlation between data and many other things within mili seconds 🕛 so get ready to understand the concepts of python and implement it 💻 and clone it. 📈

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Medical_Insurance_Prediciton

July 23, 2023 – July 23, 2023

In the fast-paced world of healthcare, predicting medical prices accurately is of paramount importance for both medical service providers and patients. A well-developed medical price prediction model can aid in estimating the costs of various medical procedures and services, allowing patients to plan their finances accordingly.

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Credit_Card_Fraudulent_detection

July 14, 2023 – October 10, 2023

Credit Card Fraudulent detection using logistic regression algorithm and this dataset have complex problem of unbalance data where the data is unbalanced and the data is available in the form of integer64 hence the details of this dataset is confidential so the provided data in the dataset is (Principal Component Analysis Method).

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Gold_Price-_Prediction_Random_Forest_Regression

June 15, 2023 – June 15, 2023

This project focus on predicting the gold value by using the several aspect given in the dataset it uses the Random Forest Regression to predict the values from dataset

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Car_Price_Prediction_ML_-Lasso_Regression

June 14, 2023 – June 14, 2023

This project focuses on developing a robust and accurate model that can predict the price of used cars based on various features and attributes. The primary objective of this project is to leverage Lasso Regression, a powerful regularization technique, to build a predictive model that effectively handles high-dimensions

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Loan-Acceptance_model_svm

June 9, 2023 – July 16, 2025

Loan Acceptance Prediction is prediction model using machine learning ( Support Vector Machine ) this model helps as an person is eligible for vote or not after accepting the several aspects of a dataset

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fake_news_prediction_ml

June 8, 2023 – July 16, 2025

This project helps to make prediction of fake news by developing a machine learning model using the logistic regression algorithm. The project provides a reliable solution to identify and predict the authenticity of news articles, helping users distinguish between real and fake news sources.

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Diabetes-detection-model--svm-

June 1, 2023 – June 1, 2023

Diabetes detection model is a machine learning model which detects that weather a patient is diabetic or not with help of the give data and it is made (SVM) algorithm.

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Rock-and-Mine-ML-logistic-model-

May 28, 2023 – May 31, 2023

Rock and Mine ML(logistic regression ) It is a initial level machine learning project for once who want to improve the skills in machine learning the source code and data is being given in repository

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Analysis--2

May 12, 2023 – May 13, 2023

This is an analysis of Netflix in which the problem statements have been solved and which given in source code. This source code helps to clear several concepts of python pandas

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Key Strengths

Demonstrated foundational understanding of various machine learning algorithms (Logistic Regression, SVM, Random Forest).
Experience with data analysis and manipulation using Python and Jupyter Notebook.
Practical application of ML models to diverse problem domains (fraud detection, medical prediction, price prediction).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit