Key Strengths

Extensive personal project portfolio demonstrating practical application of Data Science concepts.
Proficiency in Python for various data science tasks, including machine learning, deep learning, and NLP.
Experience with Streamlit for deploying machine learning applications, indicating an understanding of MLOps basics.
Exposure to diverse problem domains such as vehicle detection, news classification, recommendation systems, and time series analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, covering various applications of machine learning and data science. This breadth of interest aligns with a culture that values continuous learning and exploration. The current role as a Data Scientist at Agilysys, although with a future start date, indicates alignment with the target role. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit regarding collaboration and community engagement.

Soft Skills & Operational Fit

The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying data science techniques. The variety of projects suggests adaptability and a willingness to explore different problem spaces. However, without specific psychometric test results or interview data, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.

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Shubham Prasad

Data Scientist

https://www.opentalent.in/shubham-prasad-1

Data Science and machine learning Enthusiast. Computer Vision

Agilysys

Chennai, Tamil Nadu, IndiaMember since June 19, 2026

https://www.opentalent.in/shubham-prasad-1

Top Skills

PythonJupyter Notebook

Skills

PythonJupyter Notebook

Experience

Agilysys

Data Scientist

June 19, 2026 – Present

Projects

Segmentation_image_modify

September 8, 2024 – September 9, 2024

This Streamlit application uses the MediaPipe Selfie Segmentation module to segment the foreground from the background in an uploaded image (selfie or other images) and apply various effects. Users can upload an image and choose from several modification modes, including grayscale, background replacement, and blur effects.

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Bike_rent_service

August 14, 2024 – August 14, 2024

This project aims to analyze and understand the factors that significantly influence the demand for shared electric cycles in the Indian market. The analysis involves performing Exploratory Data Analysis (EDA) and Hypothesis Testing on the provided dataset to identify key features that predict cycle demand.

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Electrical_Grid

December 24, 2020 – December 24, 2020

The analysis is performed for different sets of input values using the methodology similar to that described in [SchÃ¤fer, Benjamin, et al. 'Taming instabilities in power grid networks by decentralized control.' The European Physical Journal Special Topics 225.3 (2016): 569-582.]. Several input values are kept the same: averaging time: 2 s; coupling strength: 8 s^-2; damping: 0.1 s^-

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Bike_sharing

December 24, 2020 – December 24, 2020

Bike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Through these systems, user is able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousands bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues link: .https://archive.ics.uci.edu/ml/datasets/bike+sharing+dataset#

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Key Strengths

Extensive personal project portfolio demonstrating practical application of Data Science concepts.
Proficiency in Python for various data science tasks, including machine learning, deep learning, and NLP.
Experience with Streamlit for deploying machine learning applications, indicating an understanding of MLOps basics.
Exposure to diverse problem domains such as vehicle detection, news classification, recommendation systems, and time series analysis.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit