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Experienced Data Science professional with sound programming and theoretical skills. A quick learner who can understand and implement new technologies.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motifworks
Data Scientist
June 16, 2026 – Present
Twitter_extraction
October 27, 2020 – October 27, 2020
Using this you can extract more than 3200 tweets
View ProjectDog-Breed-Classifier-using-CNN
October 1, 2020 – October 24, 2020
This contain the capstone project for machine learning engineer nanodegree
View ProjectPlagiarism_Detection
September 19, 2020 – September 19, 2020
Plagiarism_Detection code deployed on Sagemaker
View ProjectSentiment-Analysis-on-IMDB
September 1, 2020 – September 20, 2020
This is Udacity exercise on creating model for sentiment analysis using Pytorch on AWS
View ProjectCovid19
August 24, 2020 – August 24, 2020
This repository contains early analysis of covid in the world
View Projectsrijansahay.github.io
August 14, 2020 – August 14, 2020
srijansahay.github.io — GitHub repository
View ProjectMahindra-First-Choice
February 10, 2020 – September 25, 2020
Mahindra-First-Choice — GitHub repository
View Projectimage_classification_flower17
July 30, 2019 – September 23, 2020
This project classify image of a flower in 17 different species
View ProjectHousePricePrediction
July 29, 2019 – October 19, 2020
This repository have code for KC house dataset prediction.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with a Data Scientist role. However, the projects are predominantly personal and academic, lacking diversity in real-world business applications or team collaboration contexts. The single professional experience entry is current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.