Dynamic leader and data scientist with proven success in driving organizational growth, developing impactful ML models, and supporting AI advancements across multiple domains, including agriculture.
Guided organizational vision and strategic planning to drive sustainable growth and operational excellence.
Developed and implemented ML models for crop prediction, risk analysis, and AI response evaluation.
Performed meticulous data annotation across various media to support AI model training with high accuracy standards.
Proficient in Python, SQL, and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn for data analysis and model development.
BANKEYGANJ FARMER PRODUCER COMPANY LIMITED
Spearheaded strategic organizational leadership and vision development for a farmer producer company, driving operational excellence and sustainable growth across all business verticals while managing P&L and ensuring financial stability.. Orchestrated comprehensive farmer aggregation initiatives and member management programs, successfully onboarding and organizing hundreds of smallholder farmers into a cohesive producer collective that enhanced market access and bargaining power.. Directed end-to-end agricultural value chain operations from procurement to market distribution, optimizing supply chain efficiency and establishing robust market linkages that significantly increased farmer income and profitability.. Collaborated extensively with data science teams to implement data-driven decision-making frameworks, leveraging analytics and predictive insights to optimize crop planning, pricing strategies, and resource allocation across operations.. Secured and managed strategic partnerships with government bodies (NABARD, SFAC), financial institutions, and agribusiness corporations, successfully negotiating favorable terms and accessing critical funding for organizational expansion.. Led digital transformation initiatives by integrating AgTech solutions and farm management systems, modernizing operations and enabling real-time data collection for enhanced productivity and transparency.. Executed comprehensive stakeholder management including Board of Directors communication, investor relations, and farmer community engagement, ensuring alignment of interests and building trust across diverse stakeholder groups.. Championed regulatory compliance and governance frameworks, ensuring adherence to FPO regulations, company law, food safety standards (FSSAI), and agricultural marketing norms while maintaining ethical business practices.. Developed and implemented innovative business models for input procurement, contract farming, and value-added product development, diversifying revenue streams and strengthening the organization's market position.. Fostered a culture of continuous improvement and learning by mentoring cross-functional teams, conducting farmer capacity-building programs, and promoting sustainable agricultural practices throughout the producer network.
PG Program in Data Science, Machine Learning and Neural Networks
Bachelor of Science
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BANKEYGANJ FARMER PRODUCER COMPANY LIMITED
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.
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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.
OUTLIER AI INC
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.
TELUS DIGITAL INC
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.
RWS AI
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 multimedia content while maintaining 100% accuracy rate, meeting tight deadlines in fast-paced production environment.
