Sartaki Sinha Roy profile photo 1 on Tal

Sartaki Sinha Roy

Founding AI Engineer @ Anoki Inc

Bengaluru

9+ years of work experience

Anoki Inc
Jun 20233 yrs 4 mosPresent

LG Ad Solutions
Mar 20221 yr 4 mosJun 2023

- Worked as an intern from Jan, 2019 to June, 2019. Joined full time post that as a Data Scientist (first Data Science hire for the Bangalore office) - Promoted to Lead Data Scientist from Mar, 2022 - Lead campus hiring for DS (2020 - 2021) - Helped and mentored for ramp up of new campus joinees during covid period - Helped the team to set best DS practises and processes - Lead and mentored multiple projects Projects: - Automatic addition of ad cue points for contents - Scale up of Automatic Content Recognition tech - Natural Language Understanding for TV voice commands - Real time detection of Trending Shows - Political Leaning Analysis of TV Shows / TV Networks - Ad / TV show detection using Closed Captions / STT - National TV Ad Spend prediction
LG Ad Solutions
Jul 20192 yrs 9 mosMar 2022

LG Ad Solutions
Jan 20196 mosJun 2019

PwC India
May 20183 mosJul 2018

Domain specific text classification system: - Implemented Transfer Learning in NLP scenario to classify paragraphs within documents of a particular domain (model based on ULMFit, 2018) - Proposed and implemented architecture to handle severe class imbalance - Involved in data collection for training and predictions
Mu Sigma Inc.
Aug 20152 yrsJul 2017

Marketing Mix Analysis: (Jun, 2017 - Jul, 2017) - Worked with a pharmaceutical client performing Marketing Mix analysis on a drug for a particular region in Europe - Wrote reusable modules of code in R to perform Marketing Mix analysis which included model building (Mixed Effects Model), contribution computation, response curve plotting, optimization MuMix: (Apr, 2016 - Jun, 2017) - MuMix is a tool aimed at helping a spectrum of users (i.e. from marketers to analysts) to make effective Marketing Mix decisions via features like historical analysis, simulation, optimization, monitoring, etc. - Worked on the R statistical engine used by the tool - Made changes across application to incorporate data table package to improve performance and reduce computational time - Implemented a customizable log feature and multi core processing in the optimization module - Designed and implemented generic logic to take care of ad stock, lag, etc., across application - Involved in research for solving the Multi Touch Attribution (bottom up approach) problem of Marketing - Received a performance based spot award for “Dedication, hard work and proactive customization of the tool using R” Developing web portal for an NGO: (Oct, 2015 - Mar, 2016) - The web portal was focused at making e-governance transparent by visualizing data from various public works - Designed and implemented the user login, session management system and some of the dashboard screens which visualized data based on metric specified by the client - Responsible for application deployment on staging and production environment (i.e. LAMP and WAMP stacks respectively) - Received a performance based spot award for “Excellent problem solving skills and taking lead in learning new technologies”

Sartaki’s AI Stack

claude code
claude code
codex
codex
gemini
gemini
github copilot
github copilot
hugging face
hugging face
notion
notion

Education

Indian Statistical Institute, Kolkata

Master of Technology - MTech, Quality, Reliability and Operations Research

Indian Statistical Institute, Kolkata

20172 yrs2019
Osaka Prefecture University - 大阪府立大学

Short Term Research Visit

Osaka Prefecture University - 大阪府立大学

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Sartaki Sinha Roy on Tal

Headline

Founding AI Engineer @ Anoki Inc

Location

Bengaluru

AI stack

claude code

codex

gemini

github copilot

hugging face

notion

Work experience

Founding AI Engineer at Anoki Inc, Jun 2023 - Present · 3 yrs 4 mos

Lead Data Scientist at LG Ad Solutions, Mar 2022 - Jun 2023 · 1 yr 4 mos, - Worked as an intern from Jan, 2019 to June, 2019. Joined full time post that as a Data Scientist (first Data Science hire for the Bangalore office) - Promoted to Lead Data Scientist from Mar, 2022 - Lead campus hiring for DS (2020 - 2021) - Helped and mentored for ramp up of new campus joinees during covid period - Helped the team to set best DS practises and processes - Lead and mentored multiple projects Projects: - Automatic addition of ad cue points for contents - Scale up of Automatic Content Recognition tech - Natural Language Understanding for TV voice commands - Real time detection of Trending Shows - Political Leaning Analysis of TV Shows / TV Networks - Ad / TV show detection using Closed Captions / STT - National TV Ad Spend prediction

Data Scientist at LG Ad Solutions, Jul 2019 - Mar 2022 · 2 yrs 9 mos

Data Scientist (Intern) at LG Ad Solutions, Jan 2019 - Jun 2019 · 6 mos

Data Scientist at PwC India, May 2018 - Jul 2018 · 3 mos, Domain specific text classification system: - Implemented Transfer Learning in NLP scenario to classify paragraphs within documents of a particular domain (model based on ULMFit, 2018) - Proposed and implemented architecture to handle severe class imbalance - Involved in data collection for training and predictions

Decision Scientist at Mu Sigma Inc., Aug 2015 - Jul 2017 · 2 yrs, Marketing Mix Analysis: (Jun, 2017 - Jul, 2017) - Worked with a pharmaceutical client performing Marketing Mix analysis on a drug for a particular region in Europe - Wrote reusable modules of code in R to perform Marketing Mix analysis which included model building (Mixed Effects Model), contribution computation, response curve plotting, optimization MuMix: (Apr, 2016 - Jun, 2017) - MuMix is a tool aimed at helping a spectrum of users (i.e. from marketers to analysts) to make effective Marketing Mix decisions via features like historical analysis, simulation, optimization, monitoring, etc. - Worked on the R statistical engine used by the tool - Made changes across application to incorporate data table package to improve performance and reduce computational time - Implemented a customizable log feature and multi core processing in the optimization module - Designed and implemented generic logic to take care of ad stock, lag, etc., across application - Involved in research for solving the Multi Touch Attribution (bottom up approach) problem of Marketing - Received a performance based spot award for “Dedication, hard work and proactive customization of the tool using R” Developing web portal for an NGO: (Oct, 2015 - Mar, 2016) - The web portal was focused at making e-governance transparent by visualizing data from various public works - Designed and implemented the user login, session management system and some of the dashboard screens which visualized data based on metric specified by the client - Responsible for application deployment on staging and production environment (i.e. LAMP and WAMP stacks respectively) - Received a performance based spot award for “Excellent problem solving skills and taking lead in learning new technologies”

Education

Master of Technology - MTech, Quality, Reliability and Operations Research, Indian Statistical Institute, Kolkata

Short Term Research Visit, Osaka Prefecture University - 大阪府立大学