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Transforming Financial Forecasting and Analysis
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At our firm, we empower financial services companies with advanced machine-learning solutions and data analytics to stay ahead of the competition. Our expertise in developing and implementing Azure machine-learning algorithms has revolutionized the way businesses predict and respond to market trends.
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Key highlights of our work include:
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Win/Loss Prediction:
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Implemented Azure machine-learning algorithms to forecast win/loss outcomes on future bids.
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Utilized job postings data to understand historical trends in workforce demand segmented by geography, industry, and occupation.
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Comprehensive Market Forecasting:
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Developed detailed forecasts of employees, establishments, and firms segmented by industry and firm size for the US.
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Conducted competitive analysis by reviewing SEC filings of competitors and developing key performance indicators (KPIs).
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Performed win/loss analysis on project bids to identify strengths and weaknesses, categorized by geography, industry, and firm size.
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Data-Driven Insights:
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Innovative Language Models: Successfully advocated for the adoption of large language models by demonstrating enhanced privacy and security through local implementation with Retrieval Augmented Generation (RAG).
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Derived actionable insights from extensive datasets using macroeconomic time-series forecasting models tailored to specific client variables, including geography, industry, occupation, and firm size.
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Our advanced analytical solutions provide financial services companies with the intelligence they need to make informed strategic decisions and maintain a competitive edge in the market.
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