Parthosarothi Mukherjee

Data Scientist

https://www.opentalent.in/parthosarothi-mukherjee

Indian Statistical Institute

Key Strengths

Strong foundational experience in deep learning architectures (CNN, BLSTM, CTC) as evidenced by multiple personal projects.
Demonstrated practical application of advanced machine learning concepts like Attention mechanisms (Bahdanau Attention) and Reinforcement Learning (Actor Critic for VRP).
Proficiency in Python and deep learning frameworks (TensorFlow, Keras) is directly relevant to a Data Scientist role.
Current role as a Data Scientist at a reputable institution (Indian Statistical Institute) indicates professional alignment.

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Assessing your cultural and operational fit

Experience

Indian Statistical Institute

Data Scientist

June 16, 2026 – Present

Projects

Tensorflow-Tutorials

May 7, 2021 – May 7, 2021

Tensorflow-Tutorials — GitHub repository

View Project

CustomGradientTutorial

July 22, 2020 – July 22, 2020

CustomGradientTutorial — GitHub repository

View Project

VRP_RL

July 15, 2020 – July 15, 2020

A Simple Implementation of VRP solution using Actor Critic Method

View Project

C2WAttention

November 22, 2019 – November 22, 2019

C2WAttention — GitHub repository

View Project

Tutorials

March 13, 2019 – March 28, 2019

Some tutorials by me using tensorflow and keras

View Project

IWPAA2019

February 25, 2019 – February 25, 2019

Hands On session materials

View Project

Degraded_OCR

January 1, 2019 – January 11, 2019

A CNN BLSTM CTC based implementation of Bangla Degraded OCR line recognition.

View Project

KerasBahdanauAttention

August 14, 2018 – August 14, 2018

Implementation of Bahdanau Attention in Keras

View Project

DegradedOCR

May 21, 2018 – June 8, 2018

A CNN BLSTM CTC based implementation of Bangla Degraded OCR line recognition

View Project

CNN-BLSTM-CTC

August 31, 2017 – January 23, 2018

A Tensorflow Implementation of CNN BLSTM CTC Architecture

View Project

Key Strengths

Strong foundational experience in deep learning architectures (CNN, BLSTM, CTC) as evidenced by multiple personal projects.
Demonstrated practical application of advanced machine learning concepts like Attention mechanisms (Bahdanau Attention) and Reinforcement Learning (Actor Critic for VRP).
Proficiency in Python and deep learning frameworks (TensorFlow, Keras) is directly relevant to a Data Scientist role.
Current role as a Data Scientist at a reputable institution (Indian Statistical Institute) indicates professional alignment.

Cultural Fit Analysis

The candidate's projects are primarily academic/personal and heavily focused on deep learning research. While this demonstrates strong technical interest, there is limited diversity in project types (e.g., no clear business-oriented projects, data engineering, or MLOps aspects). This narrow focus might indicate a specific research-oriented cultural fit rather than a broader, product-focused data science role. The experience level is 0, which contradicts the current role, suggesting a potential data discrepancy or very early career stage.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Parthosarothi Mukherjee

Key Strengths

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit