Sachin Kumar Yadav profile photo 1 on Tal

Sachin Kumar Yadav

Founder at FamilyBites

Bengaluru

8+ years of work experience

FamilyBites
Jul 20263 mosPresent

Sahaj Software
Dec 20232 yrs 7 mosJun 2026

Bengaluru

ZET (Previously OneCode)
Jan 20235 mosMay 2023

Bengaluru, Karnataka, India

Built loan approval models for various loan partner brands. Used financial features built based on CRIF and Experian reports of customers. Built a chatbot for FAQs using chatgpt and langchain.
OkCredit
Sep 20192 yrs 8 mosApr 2022

Bengaluru, Karnataka, India

Identification of problem statements where data science can help. Explored network effects and demonstrated densely connected Okcredit’s user network clusters. Lending: Explored lending experiments and initiated efforts with ola which helped us in having better understanding of the lending space in the country. We ran a cohort based experiment to gauge the need for credit also. Gst tin number extraction from printed bill images to find potential heavy users. Voice based action: Built voice based transaction addition MVP. Growth: Worked on running cohort based growth ad campaigns. Learned about the impact of cohort size, creatives, organic growth, event based targeting using super user cohort. Hiring: Interviewed candidates for the data science and analytics team. Building teams: Helped in building data science and analytics team and setting up processes and workflows for efficient delivery of solutions to prioritized problem statements, like roadmap building, interacting with stakeholders from all departments, setting up dashboard data science model’s statistics on superset etc. Business category based personalisation: Helped in building category prediction model, deployment, setting up daily airflow jobs. Payments fraud detection: with Sahil, Mohsin, helped in building payments fraud detection model, deployment and daily analysis reports. Used lightgbm based model and utilized shap library to identify high impact variables.
Envestnet | Yodlee
May 20172 yrs 4 mosAug 2019

Bengaluru, Karnataka, India

Screen scraping and PII masking: Helped in extracting data from tables with miscellaneous structures and building column identification using deep learning based models. Also, worked on identifying strategies to identify PII in data and masking it. Wealth Data Enrichment : Worked on CNN based text embedding features and siamese based contrastive learning for Security Style identification, Security normalization, Account type identification. Transaction Data Enrichment : worked on creating a mapping for possible variations of the words in transaction data using text embedding.

Sachin’s AI Stack

antigravity
antigravity
claude code
claude code
codex
codex
langchain
langchain
langfuse
langfuse
langgraph
langgraph

Education

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

B.Tech - M.Tech Dual, Computer Science

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

20105 yrs2015

Kendriya Vidyalaya Gole Market, New Delhi

20063 yrs2009

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Sachin Kumar Yadav on Tal

Headline

Founder at FamilyBites

About

I love solving problems especially the messy ones without a clear path. As a data scientist, I work across GenAI, NLP, and computer vision to help teams make smarter decisions and build meaningful products. I enjoy taking complex challenges and turning them into simple, practical solutions. I see AI as a mix of science, engineering, and empathy. I’m constantly learning, experimenting, and trying to create tools that genuinely make people’s lives a little easier.

Location

Bengaluru

AI stack

antigravity

claude code

codex

langchain

langfuse

langgraph

Work experience

Founder at FamilyBites, Jul 2026 - Present · 3 mos

Solution consultant at Sahaj Software, Dec 2023 - Jun 2026 · 2 yrs 7 mos, Bengaluru

Lead Data Scientist at ZET (Previously OneCode), Jan 2023 - May 2023 · 5 mos, Bengaluru, Karnataka, India, Built loan approval models for various loan partner brands. Used financial features built based on CRIF and Experian reports of customers. Built a chatbot for FAQs using chatgpt and langchain.

Senior Data Scientist at OkCredit, Sep 2019 - Apr 2022 · 2 yrs 8 mos, Bengaluru, Karnataka, India, Identification of problem statements where data science can help. Explored network effects and demonstrated densely connected Okcredit’s user network clusters. Lending: Explored lending experiments and initiated efforts with ola which helped us in having better understanding of the lending space in the country. We ran a cohort based experiment to gauge the need for credit also. Gst tin number extraction from printed bill images to find potential heavy users. Voice based action: Built voice based transaction addition MVP. Growth: Worked on running cohort based growth ad campaigns. Learned about the impact of cohort size, creatives, organic growth, event based targeting using super user cohort. Hiring: Interviewed candidates for the data science and analytics team. Building teams: Helped in building data science and analytics team and setting up processes and workflows for efficient delivery of solutions to prioritized problem statements, like roadmap building, interacting with stakeholders from all departments, setting up dashboard data science model’s statistics on superset etc. Business category based personalisation: Helped in building category prediction model, deployment, setting up daily airflow jobs. Payments fraud detection: with Sahil, Mohsin, helped in building payments fraud detection model, deployment and daily analysis reports. Used lightgbm based model and utilized shap library to identify high impact variables.

Lead, Data Sciences at Envestnet | Yodlee, May 2017 - Aug 2019 · 2 yrs 4 mos, Bengaluru, Karnataka, India, Screen scraping and PII masking: Helped in extracting data from tables with miscellaneous structures and building column identification using deep learning based models. Also, worked on identifying strategies to identify PII in data and masking it. Wealth Data Enrichment : Worked on CNN based text embedding features and siamese based contrastive learning for Security Style identification, Security normalization, Account type identification. Transaction Data Enrichment : worked on creating a mapping for possible variations of the words in transaction data using text embedding.

Education

B.Tech - M.Tech Dual, Computer Science, INDIAN INSTITUTE OF TECHNOLOGY KANPUR

Kendriya Vidyalaya Gole Market, New Delhi