
Machine Learning | Recommendations
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Pratilipi
Data Scientist
June 18, 2026 – Present
POS-Tagger
October 6, 2019 – October 6, 2019
A POS Tagger using Bidirectional LSTM trained on NLTK Treebank corpus
View ProjectOptical-Character-Recognition
July 15, 2019 – August 15, 2019
Implementation of OCR by shi et al. using pre-trained ResNet50 and bidirectional LSTM on IIIT5K dataset
View ProjectFace-Recognition
July 15, 2019 – July 15, 2019
Face Recognition using Siamese Network and contrastive loss function on AT&T face database
View ProjectUdacity-Deep-Learning
August 12, 2018 – August 12, 2018
Udacity-Deep-Learning — GitHub repository
View ProjectKisan-Mitra
March 20, 2018 – April 8, 2018
Team NumerUno's Kisaan Mitra ML powered web application
View ProjectIT-Day-Rajasthan-Frontend-
March 15, 2018 – March 20, 2018
Front-end Crop Recommendation System
View ProjectAI-in-tic-tac-toe
January 14, 2017 – August 1, 2017
Training a computer to learn tic tac toe
View ProjectA-New-Selection-Algorithm
January 10, 2017 – August 15, 2017
A-New-Selection-Algorithm — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong inclination towards AI/ML, which aligns with a Data Scientist role. The diversity of projects, from theoretical algorithms to practical applications, suggests a proactive learning attitude. However, the lack of team-based projects or detailed descriptions of collaboration makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.