Naman Tiwari

Data Scientist

https://www.opentalent.in/naman-tiwari-1

IITG'24

IndiaMember since June 14, 2026

Key Strengths

Demonstrated interest in AI/ML and data processing through projects like 'TextBoat', 'open-moe', 'StockData_ETL', and 'DataAugmenToolkit'.
Proficiency in Python, a core language for Data Scientists, evidenced by multiple project implementations.
Experience with ETL pipelines (Airflow, Postgres) and data scraping, relevant for data acquisition and preparation.
Exposure to LLM-related tasks, including fine-tuning, alignment datasets, and expert inspection in MoE models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal, self-directed learning and development in AI/ML and data engineering. The diversity of projects, from content generation to financial data ETL and LLM tooling, indicates a broad interest in data science applications. However, without team-based project experience or explicit collaboration details, assessing cultural fit for a collaborative environment is challenging. The projects align well with the technical demands of a Data Scientist role, suggesting a good technical cultural fit.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

open-moe

March 10, 2026 – Present

Toolkit for inspecting, probing, and fine-tuning specific experts in Mixture-of-Experts (MoE) language models

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StockData_ETL

August 6, 2025 – August 6, 2025

A daily Airflow ETL pipeline that scrapes the top-30 most-active stocks from Yahoo Finance and upserts them into a Postgres table.

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DataAugmenToolkit

August 6, 2025 – August 6, 2025

An application for generating high-quality SFT and alignment datasets from domain-specific text files using LLMs. Supports single-turn and multi-turn QA generation, ORPO-style preference data, real-time progress logs, and flexible configuration of LLM endpoints. Ideal for fine-tuning and alignment of custom language models.

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SupraOracleTask

January 19, 2024 – January 19, 2024

SupraOracleTask — GitHub repository

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OtsukaAGI-The-Werewolves-of-Millers-Hollow

July 4, 2023 – July 26, 2024

OtsukaAGI-The-Werewolves-of-Millers-Hollow — GitHub repository

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namantiwari2002

October 5, 2022 – October 5, 2022

Config files for my GitHub profile.

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oxytocin-project-task-final

April 26, 2022 – April 26, 2022

oxytocin-project-task-final — GitHub repository

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oxytocin-project-task

April 23, 2022 – April 23, 2022

oxytocin-project-task — GitHub repository

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StockAnalysis

February 20, 2022 – July 10, 2022

StockAnalysis — GitHub repository

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TextBoat

October 26, 2021 – October 26, 2021

An AI-enabled content writing platform for creators to generate and analyze textual content.

View Project

Key Strengths

Demonstrated interest in AI/ML and data processing through projects like 'TextBoat', 'open-moe', 'StockData_ETL', and 'DataAugmenToolkit'.
Proficiency in Python, a core language for Data Scientists, evidenced by multiple project implementations.
Experience with ETL pipelines (Airflow, Postgres) and data scraping, relevant for data acquisition and preparation.
Exposure to LLM-related tasks, including fine-tuning, alignment datasets, and expert inspection in MoE models.

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 are available.

Naman Tiwari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit