If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

Core Insights - The individual has extensive experience in risk management and financial analysis, with a strong educational background including an MSc in Applied Risk Management [1] - The focus areas include risk management, financial analysis, data science, and the influence of economic factors on financial markets [1] - The motivation for writing is to provide actionable insights for investors by translating complex financial data [1] Group 1 - The individual has worked in various roles across leading firms such as EY, PwC, Alpha Bank, and the National Bank of Greece [1] - Expertise includes data analysis using SQL, Python, and machine learning tools [1] - The aim is to write on topics related to risk assessment, financial modeling, and stock analysis [1] Group 2 - The approach to investing emphasizes data-driven analysis and long-term value creation [1] - The individual seeks to support informed decision-making through analysis of market trends and risk management practices [1]

11 plots that data scientists use 90% of the time: https://t.co/9f5RD23rkK ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

Core Insights - The Indian Institute of Technology Madras (IITM) has partnered with Caterpillar Inc. for joint research as a 'Global University Partner' [1] - The collaboration focuses on research and development in areas such as Advanced Manufacturing, AI and Data Science, Mechanical Engineering, Autonomous Mining Equipment, Gas Turbines & Engines, batteries, and fuel cells [2] - The partnership will also facilitate talent development activities, including internships and full-time employment opportunities for IITM students [2] Collaboration Details - A Memorandum of Understanding (MoU) was signed by key representatives from both organizations, including Bhuvan Anandakrishnan from Caterpillar and V Kamakoti from IIT Madras [2] - The collaboration aims to enhance joint research, consultation, and talent development in engineering and technology, aligning with Caterpillar's Global University Collaboration Model [3] - This partnership coincides with Caterpillar's centennial year, aiming to strengthen existing relationships and foster innovations [3]

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs.Avi Chawla (@_avichawla):I've been coding in Python for 9 years now.If I were to start over today, here's a complete roadmap: ...

Core Insights - First National Bank, a subsidiary of F.N.B. Corporation, has appointed Santosh Sinha and Sundeep Tangirala as Senior Vice Presidents to enhance its AI and data science capabilities [1][3] - The focus on innovation and digital technology is aimed at driving growth and improving client experience [1] - Sinha will lead the AI strategy with an emphasis on ethical practices, while Tangirala will oversee strategic decisioning systems and regulatory models [1][3] Group 1: Company Developments - Santosh Sinha has over 10 years of experience in financial services and has previously worked as a cofounder of a technology startup and an AI researcher for the U.S. government [1][2] - Sundeep Tangirala has more than 20 years of technology experience, including nearly 15 years in the financial services sector, and previously served as Senior Vice President at PNC Bank [3][4] - F.N.B. Corporation operates in seven states and the District of Columbia, with total assets nearing $50 billion and approximately 350 banking offices [5][6] Group 2: Strategic Focus - The company aims to leverage AI, data science, and quantitative modeling to inform strategic planning and service delivery [1] - Tangirala's team will focus on identifying insights to drive revenue, efficiency, and process improvements across various departments [3] - The bank's services include commercial banking, consumer banking, and wealth management solutions, indicating a diversified service offering [6]

Group 1 - The core viewpoint of the forum is that the integration of data and AI serves as a dual engine driving innovation and growth in the intelligent era [1][2] - Current challenges in large model development include a "data wall" dilemma, where the contribution of unlabeled data to model performance is diminishing, leading to a need for a shift from expert-driven data science to quantitative and self-evolving stages [1] - A practical example shared indicates that filtering high-quality data from a vast dataset can significantly enhance model accuracy, with a reported 1.7% improvement in domain question-answering tasks by using only 20% of high-quality data from 10 billion tokens [1] Group 2 - Emphasis on data quality is crucial, with a focus on both human and machine experiences to enhance large model performance [2] - The global AI data industry is undergoing a significant transformation from labor-intensive to technology and knowledge-intensive models, showcasing how high-quality data can benefit various industries through real-world applications [2] - High-quality datasets should meet the VALID² criteria (vitality, authenticity, large sample size, completeness, diversity, high knowledge density), indicating a systematic reconstruction of methodologies, infrastructure, and industry ecology [2]

Core Insights - Root Inc. (ROOT) is a technology-driven auto insurer that utilizes data science, telematics, and automation to enhance risk pricing accuracy compared to traditional carriers [1] - The company's telematics-based underwriting platform evaluates individual driving behavior in real time, linking premiums to actual driving performance, which improves loss ratios and pricing discipline [2] - Automation and AI are employed to enhance claims handling, reduce fraud, and improve efficiency, thereby lowering the expense ratio and reinforcing earnings potential [3] Technological Investments - Root plans to continue investing in AI, automation, and product innovation, scaling its telematics engine and expanding into renters and other personal insurance lines [4] - The company believes the $300 billion U.S. auto insurance market is ready for disruption, with its proprietary technology allowing for adaptability across the value chain and supporting flexible product design [5] Competitive Landscape - Other players like Lemonade (LMND) and Kingstone Companies (KINS) also leverage technology for AI-powered underwriting and claims automation, enhancing efficiency and profitability [6][7] - Lemonade's technology enables cost reduction and refined risk selection, while Kingstone Companies improves underwriting precision and customer experience through technology [6][7] Stock Performance - ROOT shares have increased by 33.4% year to date, outperforming the industry [8] - Despite the stock's performance, ROOT trades at a price-to-book value ratio of 6.21, significantly above the industry average of 1.54 [11] Earnings Estimates - The Zacks Consensus Estimate for ROOT's full-year 2025 and 2026 EPS has remained stable over the last 60 days, indicating expected year-over-year increases in revenues and EPS [13][14]