Ann Maria Chirackal George
Data Scientist @SDG Group USA
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WORK HISTORY
Data Scientist @SDG Group USA
NJ, US
SDG Group is a global consulting firm specializing in Data & Analytics. We help organizations unlock their potential by transforming data into a strategic asset, empowering businesses to become successful data-driven enterprises and driving growth and innovation through data insightRole overview : Led data-driven initiatives focusing on improving sales forecasting, pricing strategy, and operational efficiency through advanced data analysis and machine learning techniquesKey Responsibilities:•Collaborated on multiple end-to-end machine learning projects, contributing to data collection, preprocessing, model development, deployment, and performance optimization, delivering actionable insights and supporting data-driven decision-making across various business functions.• Developed a machine learning model using FB Prophet for time series analysis and a decision tree regressor to forecast sales with 75-80% accuracy over 9 months, empowering the supply chain team with insights that significantly improved inventory planning and operational efficiency• Executed multiple experiments through A/B testing to evaluate and refine business strategies, demonstrating the effectiveness of experimental methods on financial performance.
EDUCATION
Mahatma Gandhi University
Bachelor of Technology (BTech)
New Jersey Institute of Technology
Master's degree
ABOUT ANN MARIA CHIRACKAL GEORGE
Data Scientist with over with 4+ years of experience applying machine learning and deep learning techniques to solve complex, open-ended business problems—bringing an Applied Scientist skillset to forecasting, causal inference, pricing optimization and and generative AIFrom predicting customer behavior to optimizing supply chains, I specialize in machine learning, deep learning, A/B testing, and AI-driven solutions that enable smarter, data-informed decisions. Skilled in Python, SQL, TensorFlow, PyTorch, and LangChain, with hands-on experience fine-tuning large language models (LoRA, QLoRA, SFT) and deploying scalable, production-grade ML systems. Proven track record of transforming raw data into impactful models across forecasting, causal inference, pricing optimization, and generative AI applications. Domain expertise in supply chain, retail, and financial operations, with a strong foundation in experimentation, product-focused ML, and building data products that drive measurable business value. I am committed to continuous learning, staying updated with the latest AI research, and applying these insights to solve real-world problems. I enjoy collaborating with diverse teams, tackling complex projects, and using data to create impactful change.Check out my GitHub for recent hands-on projectsGitHub:https://github.com/annchirackal
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