SOUHARDYA ADHIKARY

Data Scientist

https://talent.gravityer.com/souhardya-adhikary

Tech enthusiast | SDE - 1

Kolkata, West Bengal, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (e.g., 'amazon-apparel-suggesting-through-artificial-intelligence', 'HeartdiseasePredictor', 'Amazon-Recomendation-System').
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to building ML pipelines ('i3-orchest-implementation') indicates some understanding of MLOps concepts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in the Data Science domain, which aligns with a proactive and self-driven culture. The diversity of projects, from ML applications to general programming, suggests adaptability. However, without team-based project experience or explicit collaboration details, assessing team cultural fit is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

java-low-level-design

May 17, 2026 – Present

Low Level Design, Machine Coding, Design Patterns, Concurrency, and Scalable Backend System implementations in Java 17.

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souhardya-agivant

January 25, 2026 – Present

souhardya-agivant — GitHub repository

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i3-orchest-implementation

March 24, 2025 – March 24, 2025

Contains code and setup instructions for using Orchest to build and run visual ML pipelines in a movie recommendation context. Includes pipeline scripts, CSV data handling, and integration steps. Created as part of a blog post for CMU's "Machine Learning in Production" course.

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HeartdiseasePredictor

February 22, 2020 – February 22, 2020

HeartdiseasePredictor — GitHub repository

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Amazon-Recomendation-System

February 7, 2020 – February 20, 2020

Amazon-Recomendation-System — GitHub repository

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climate

July 11, 2019 – August 7, 2019

climate — GitHub repository

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apparel-suggesting-through-artificial-intelligence

June 11, 2019 – June 11, 2019

apparel-suggesting-through-artificial-intelligence — GitHub repository

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StopWatch

June 4, 2019 – June 5, 2019

StopWatch — GitHub repository

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Notice-Board

March 21, 2019 – December 8, 2022

Android app which gives information about everything from class schedule and important announcements to class notes and much more

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amazon-apparel-suggesting-through-artificial-intelligence

March 18, 2019 – June 11, 2019

amazon-apparel-suggesting-through-artificial-intelligence — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects (e.g., 'amazon-apparel-suggesting-through-artificial-intelligence', 'HeartdiseasePredictor', 'Amazon-Recomendation-System').
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to building ML pipelines ('i3-orchest-implementation') indicates some understanding of MLOps concepts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

SOUHARDYA ADHIKARY

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit