Mayank

Data Scientist

https://talent.gravityer.com/mayank-39

UC Berkeley

Key Strengths

Strong foundational knowledge in Python and C++ demonstrated through multiple projects.
Experience with secure computation protocols (Oblivious Transfer, Zero-Knowledge Proof, Secure Comparison) relevant to advanced data science and privacy-preserving AI.
Exposure to machine learning/AI concepts through the CSE241N course and projects like 'elsa' (Federated Learning).
Active participation in open-source initiatives (OpenMined related projects).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong interest in advanced topics like secure computation and federated learning, which aligns with cutting-edge research and development environments. The diversity of projects, including academic course work and open-source contributions, suggests a proactive and curious individual. However, the lack of team-based project descriptions makes it difficult to assess collaboration style. The single listed experience as 'Data Scientist' at UC Berkeley, starting in the future, provides limited insight into past professional cultural fit.

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

elsa

December 6, 2022 – December 6, 2022

Secure Aggregation for Federated Learning with Malicious Actors

View Project

waldo

November 30, 2021 – July 12, 2023

waldo — GitHub repository

View Project

EzPC

February 16, 2019 – Present

EzPC — GitHub repository

View Project

Oblivious-Transfer-and-Zero-Knowledge-Proof

April 9, 2018 – April 9, 2018

Oblivious Transfer and Zero Knowledge Proof protocols implemented in Sagemath in Python

View Project

CSE241N-ArtificialIntelligenceFall18

January 16, 2018 – June 28, 2025

Official Repository for all the lab submissions of the course CSE241N-AI taken by undergraduate students at IIT (BHU), Varanasi.

View Project

Project-Management-System-IIT-BHU

September 9, 2017 – September 30, 2020

This project is a online project management system for undergraduate and graduate students and their supervisors. It is Django Framework in Python and RDBMS is built in MySQL.

View Project

PyAono

September 4, 2017 – December 10, 2017

DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft

View Project

PyBV

August 24, 2017 – December 10, 2017

DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft

View Project

PyYashe

August 3, 2017 – December 10, 2017

DEPRECATED- see https://github.com/OpenMined/OpenMined or https://github.com/OpenMined/PySyft

View Project

Damgard-Secure-Comparison-Protocol

December 15, 2016 – October 15, 2017

Proof-of-concept implementation of Damgard et al. secure comparison protocol as proposed in "Secure comparison for online auctions" by Ivan Damgard et al.

View Project

Key Strengths

Strong foundational knowledge in Python and C++ demonstrated through multiple projects.
Experience with secure computation protocols (Oblivious Transfer, Zero-Knowledge Proof, Secure Comparison) relevant to advanced data science and privacy-preserving AI.
Exposure to machine learning/AI concepts through the CSE241N course and projects like 'elsa' (Federated Learning).
Active participation in open-source initiatives (OpenMined related projects).

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.

Mayank

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit