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Data Scientist and business leader with a unique blend of technical AI/ML expertise and strategic management experience. As CEO of Bankeyganj Farmer Producer Company Limited, I led organizational growth while working alongside data science teams to build predictive models for crop yield forecasting and market analysis. My technical background includes collaborations with Meta AI and Google on AI research projects, specializing in LLM training, prompt engineering, and model evaluation. I've worn many hats — from data annotation specialist to AI auditor to CEO — which has given me a well-rounded perspective on how data science drives real business outcomes. Whether I'm developing machine learning models, managing P&L, building farmer networks, or evaluating AI responses, I focus on turning data insights into practical solutions that create measurable impact. I'm passionate about bridging the gap between cutting-edge AI technology and on-the-ground business challenges, especially in the agricultural sector where data-driven decisions can transform livelihoods.…Data Scientist and business leader with a unique blend of technical AI/ML expertise and strategic management experience. As CEO of Bankeyganj Farmer Producer Company Limited, I led organizational growth while working alongside data science teams to build predictive models for crop yield forecasting and market analysis. My technical background includes collaborations with Meta AI and Google on AI research projects, specializing in LLM training, prompt engineering, and model evaluation. I've worn many hats — from data annotation specialist to AI auditor to CEO — which has given me a well-rounded perspective on how data science drives real business outcomes. Whether I'm developing machine learning models, managing P&L, building farmer networks, or evaluating AI responses, I focus on turning data insights into practical solutions that create measurable impact. I'm passionate about bridging the gap between cutting-edge AI technology and on-the-ground business challenges, especially in the agricultural sector where data-driven decisions can transform livelihoods.

Satish Singh

Data Scientist, AI Engineer, Data Analyst, +2

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Data Scientist and business leader with a unique blend of technical AI/ML expertise and strategic management experience. As CEO of Bankeyganj Farmer Producer Company Limited, I led organizational growth while working alongside data science teams to build predictive models for crop yield forecasting and market analysis. My technical background includes collaborations with Meta AI and Google on AI research projects, specializing in LLM training, prompt engineering, and model evaluation. I've worn many hats — from data annotation specialist to AI auditor to CEO — which has given me a well-rounded perspective on how data science drives real business outcomes. Whether I'm developing machine learning models, managing P&L, building farmer networks, or evaluating AI responses, I focus on turning data insights into practical solutions that create measurable impact. I'm passionate about bridging the gap between cutting-edge AI technology and on-the-ground business challenges, especially in the agricultural sector where data-driven decisions can transform livelihoods.…Data Scientist and business leader with a unique blend of technical AI/ML expertise and strategic management experience. As CEO of Bankeyganj Farmer Producer Company Limited, I led organizational growth while working alongside data science teams to build predictive models for crop yield forecasting and market analysis. My technical background includes collaborations with Meta AI and Google on AI research projects, specializing in LLM training, prompt engineering, and model evaluation. I've worn many hats — from data annotation specialist to AI auditor to CEO — which has given me a well-rounded perspective on how data science drives real business outcomes. Whether I'm developing machine learning models, managing P&L, building farmer networks, or evaluating AI responses, I focus on turning data insights into practical solutions that create measurable impact. I'm passionate about bridging the gap between cutting-edge AI technology and on-the-ground business challenges, especially in the agricultural sector where data-driven decisions can transform livelihoods.

Available to hire

Data Scientist and business leader with a unique blend of technical AI/ML expertise and strategic management experience. As CEO of Bankeyganj Farmer Producer Company Limited, I led organizational growth while working alongside data science teams to build predictive models for crop yield forecasting and market analysis. My technical background includes collaborations with Meta AI and Google on AI research projects, specializing in LLM training, prompt engineering, and model evaluation.

I’ve worn many hats — from data annotation specialist to AI auditor to CEO — which has given me a well-rounded perspective on how data science drives real business outcomes. Whether I’m developing machine learning models, managing P&L, building farmer networks, or evaluating AI responses, I focus on turning data insights into practical solutions that create measurable impact. I’m passionate about bridging the gap between cutting-edge AI technology and on-the-ground business challenges, especially in the agricultural sector where data-driven decisions can transform livelihoods.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Hindi

Fluent

English

Fluent

Bihari

Fluent

Work Experience

Data Science (Intern) at Bankeyganj Farmer Producer Company Limited

September 1, 2024 - Present

Spearheaded the development of cutting-edge machine learning models that enhanced crop yield prediction and risk assessment, driving significant improvements in agricultural productivity. Conducted in-depth market analyses to strategize and successfully launch innovative products tailored to meet emerging consumer needs. Executed thorough product research and feasibility studies, ensuring informed decision-making throughout the development process. Pioneered data-driven business strategies that shaped organizational growth and fostered informed decision-making across teams. Developed sophisticated predictive models that optimized agricultural operations, leading to increased efficiency and sustainability. Managed cross-functional projects, cultivating strong relationships with stakeholders to ensure alignment and success across initiatives.

AI Auditor & Response Evaluator (Remote) at Appen CrowdGen

June 1, 2024 - January 1, 2025

SRT_MELIA Project (META AI): Evaluated and refined responses from AI models, upholding exceptional quality and accuracy standards. Provided detailed feedback for model enhancements, leading to significant improvements in performance metrics. Implemented and enforced rigorous quality control measures for thorough evaluation of AI responses.

AI Response Evaluator (Remote) at Outlier AI Inc

January 1, 2024 - October 1, 2024

BULBA Project (Claude AI): Conducted comprehensive assessments of AI model outputs through detailed analysis and testing, ensuring accuracy and reliability against predefined benchmarks. Provided strategic feedback and actionable insights to data scientists for continuous improvement, leading to enhancements in model algorithms and overall performance. Cooperated with global teams to share best practices and address challenges, fostering a unified approach to maintaining high-quality standards in AI development. Established and enforced quality control protocols throughout the AI lifecycle, including guidelines for model testing and regular audits to ensure compliance with industry standards.

Annotation Specialist (Remote) at Telus Digital Inc

November 1, 2024 - December 31, 2025

Google photos (GOOGLE): Executed meticulous photo annotation tasks for Google's AI systems, ensuring precise categorization and labeling of images to support advanced machine learning applications. Maintained outstanding accuracy rates in data labeling initiatives, consistently achieving and surpassing project benchmarks to facilitate reliable AI training. Contributed to the improvement of image recognition model performance by delivering high-quality annotations, enhancing the models' ability to identify and interpret visual data. Regularly analyzed and resolved annotation challenges, adapting to evolving project requirements and ensuring continuous improvement in the annotation process. Collaborated with cross-functional teams to ensure alignment on data quality standards and provided insights to optimize labeling procedures.

AI Data Annotation Specialist (Remote) – Diamond & Ruby Project (Meta) at RWS AI

September 1, 2025 - October 1, 2025

Evaluated and annotated large-scale datasets across multiple content types (text, audio, video, and images) to support machine learning model training and development, ensuring high accuracy and consistency in labeling. Conducted systematic pairwise comparisons of AI-generated outputs to assess quality, relevance, and performance metrics, contributing to continuous model improvement and refinement. Performed precision counting and tagging operations on complex datasets, identifying and labeling specific objects, features, and patterns to enhance dataset quality for supervised learning applications. Collected, preprocessed, and validated diverse data sources while maintaining strict quality assurance standards, reducing annotation errors by implementing systematic review protocols. Collaborated with machine learning engineers and data science teams to interpret annotation guidelines, resolve edge cases, and provide feedback on labeling schema optimization. Processed 300 hours of multime