Key Strengths

Demonstrated interest in Data Science through a current role and a machine learning project.
Experience with Python, a core language for Data Science.
Exposure to front-end technologies (Vue, JavaScript, HTML, CSS) which can be beneficial for deploying data products or interactive visualizations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects, including open-source contributions (visdom, eventyay, loungemesh). This indicates a proactive and self-driven individual. However, the diversity of projects leans heavily towards web development (Vue, JavaScript, HTML, CSS) rather than deep data science or machine learning applications, which might suggest a broader interest than a focused Data Scientist role. The single machine learning project is a GitHub repository without further details, making it hard to gauge depth. The current 'Data Scientist' role is listed with a future start date and no associated skills, making it difficult to assess actual experience or cultural alignment with a data-centric team.

Soft Skills & Operational Fit

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

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Saksham Sirohi

Data Scientist

https://www.opentalent.in/saksham-sirohi

Open Source Software Engineer @fossasia Working on Eventyay(Event Management System), Visdom(Scientific Tool), and Flowspace(Conferencing Platform).

@fossasia, @openstayy

Delhi NCR, India | Chandigarh, IndiaMember since June 12, 2026

https://www.opentalent.in/saksham-sirohi

Top Skills

PythonJavaScriptLuaCSSHTMLVuetypescriptShellDockerfileJupyter Notebook

Skills

PythonJavaScriptLuaCSSHTMLVuetypescriptShellDockerfileJupyter Notebook

Experience

@fossasia, @openstayy

Data Scientist

June 12, 2026 – Present

Projects

Saksham-Sirohi.github.io

May 14, 2026 – Present

Saksham-Sirohi.github.io — GitHub repository

View Project

HR-AI-Webapp

September 22, 2025 – December 13, 2025

IITM Software Engineering Project Sept-25 Team-22

View Project

wishlist-proposal

April 10, 2025 – April 15, 2025

Predict-the-Success-of-Bank-telemarketing-Machine-Learning-Project

January 14, 2025 – January 14, 2025

Predict-the-Success-of-Bank-telemarketing-Machine-Learning-Project — GitHub repository

View Project

visdom

January 25, 2017 – Present

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy https://visdom.dev

View Project

eventyay

July 5, 2016 – Present

Open Source Event Management, Ticketing and Checkins, Talks and Schedules, Video and Interpretations, Badges, Exhibitions and more https://eventyay.com

View Project

Key Strengths

Demonstrated interest in Data Science through a current role and a machine learning project.
Experience with Python, a core language for Data Science.
Exposure to front-end technologies (Vue, JavaScript, HTML, CSS) which can be beneficial for deploying data products or interactive visualizations.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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