Pranav P Jaipurkar
Data ScientistData Scientist
Nagpur, Maharashtra, India
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine-Learning-Course-by-Mr-Pranav-Jaipurkar
March 7, 2022 – April 15, 2022
Machine Learning Course by Mr Pranav Jaipurkar
View ProjectDeepLearningByPranavJaipurkar
January 27, 2022 – February 15, 2022
Deep Learning Course by Pranav Jaipurkar
View ProjectTwo-Layer-Neural-Network
October 9, 2020 – October 9, 2020
Designed a Two Layer Neural Network to predict whether a given image is a cat or not.
View ProjectRecurrent-Neural-Network
October 9, 2020 – October 9, 2020
Built a single RNN forward cell and iterated it to perform forward propagation of the Neural Network which gave predicted output, shape of the predicted output matrix and caches which stored values for backward propagation. Studied the concept of Long Short Term Memory (LSTM), different gates such as forgot gate, update gate and output gate present in it and implemented forward propagation of the Neural Network.
View ProjectResidual-Neural-Network
October 9, 2020 – October 9, 2020
Prepared Identity block and convolutional block of the Residual Network with 3 retrieve filters and ‘RELU’ activation. Drafted residual Network model with 50 layers for the image classification to be performed on the ‘Signs’ dataset.
View ProjectENPM808W-Data-Science-Project
September 15, 2020 – September 15, 2020
ENPM808W-Data-Science-Project — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing heavily on neural networks and machine learning concepts. While this aligns with a Data Scientist role, the lack of diverse project types (e.g., industry applications, collaborative projects, data engineering aspects) and limited technology stack beyond Python/Jupyter Notebook suggests a narrow breadth of experience. This might indicate a need for exposure to broader data science applications and team environments to fully align with a senior role's cultural expectations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.