Sivaram T

Data Scientist

https://talent.gravityer.com/sivaram-t

A Math Lover

Tamil Nadu, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Face-Detection-and-Recogniton', 'NYC-taxi-trip-duration-prediction', and 'Optimizing-SVM-for-imbalanced-data'.
Proficiency in Python, a core language for Data Science, evidenced by multiple project technologies.
Experience with deep learning frameworks (PyTorch) and concepts (DCNN) as seen in 'ProjectAI-DCNN'.
Exposure to various machine learning tasks including predictive analytics, face recognition, and optimization for imbalanced data.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong personal drive and interest in exploring various technical domains, including data science, cryptography, and general programming. The diversity of projects (e.g., C++ tensor library, mobile app development) suggests a broad curiosity, which can be a positive cultural fit for an innovative environment. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or alignment with specific team dynamics. The focus on personal projects aligns with a self-starter mentality.

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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Projects

diary_app

January 14, 2023 – January 29, 2023

diary_app — GitHub repository

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pool-ride

October 12, 2022 – October 13, 2022

pool-ride — GitHub repository

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elliptic-cryptography

September 20, 2022 – September 28, 2022

elliptic-cryptography — GitHub repository

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TensorLib

June 12, 2022 – September 8, 2022

A multi-dimensional C++ tensor library for arbitrary data types.

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Randomized-matrix-multiply

April 18, 2021 – April 20, 2021

Randomized-matrix-multiply — GitHub repository

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ProjectAI-DCNN

April 2, 2021 – April 6, 2021

Implementation of 2D Differential convolution layer in PyTorch.

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Face-Detection-and-Recogniton

February 7, 2021 – February 7, 2021

Face Detection and Recognition tasks like face verificatio, person tagging in python. Model was built from FaceBoxes and FaceNet architecture.

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Optimizing-SVM-for-imbalanced-data

November 20, 2020 – January 13, 2021

Package for Supervised and Unsupervised learning

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NYC-taxi-trip-duration-prediction

April 10, 2020 – April 11, 2020

A Kaggle competition named as NewYork taxi trip duration prediction for predictive analytics package.

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Prediction-Of-Liver-Syndromes

October 22, 2019 – October 22, 2019

Prediction-Of-Liver-Syndromes — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'Face-Detection-and-Recogniton', 'NYC-taxi-trip-duration-prediction', and 'Optimizing-SVM-for-imbalanced-data'.
Proficiency in Python, a core language for Data Science, evidenced by multiple project technologies.
Experience with deep learning frameworks (PyTorch) and concepts (DCNN) as seen in 'ProjectAI-DCNN'.
Exposure to various machine learning tasks including predictive analytics, face recognition, and optimization for imbalanced data.

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.

Sivaram T

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit