Lead Trainer
Rana Bhattacharjee is the Director and Senior Client Advisor at Alpha Quest Pte. Ltd., a licensed fund management firm regulated by the Monetary Authority of Singapore. With over two decades of experience, Rana has worked at top private banks such as Fortis, Standard Chartered, Citi Bank, and CIC Banque Privee. He co-founded Alpha Quest, specializing in wealth and portfolio management across traditional and alternative asset classes. Rana holds multiple professional certifications, including CAIA, CFP, CMT, and CFTe, and earned an MBA from the Indian Institute of Management Calcutta. His strategic focus is on delivering optimal portfolio outcomes for clients.
Course Summary
Machine Learning for Fintech is a 2-day training program designed to give participants a competitive edge in applying machine learning within the financial technology sector. The course focuses on practical applications tailored to fintech, helping participants understand how machine learning can solve complex challenges and create new opportunities.
Through hands-on projects and real-world case studies, attendees will deepen their knowledge of machine learning techniques and gain the ability to implement them using diverse datasets. This interactive approach ensures active learning and skill acquisition.
By completing this course, participants will be equipped to drive innovation, enhance productivity, and contribute to fintech projects. Companies benefit from a skilled workforce capable of staying ahead in the rapidly evolving fintech landscape, ensuring long-term competitiveness and growth.
Course Objectives
By the end of this workshop, participants will :
- Become proficient in various machine learning algorithms, including classification, regression, clustering, and dimensionality reduction techniques.
- Understand supervised, unsupervised, deep learning, and reinforcement learning approaches in machine learning.
- Acquire practical skills in exploratory data analysis, identifying patterns and outliers in datasets.
- Apply machine learning techniques to financial data for tasks like stock price prediction and fraud detection.
Course Agenda
Day 1
- Fintech Landscape
- Machine Learning Algorithms and Techniques
- Python Programming Language (Part 1)
- Python Programming Language (Part 2) and Exploratory Data Analysis
Day 2
- Presentation on Exploratory Data Analysis
- Supervised Learning Methods
- Unsupervised Learning, Deep Learning and Reinforcement Learning Methods
- Machine Learning Algorithms using Python
- Group Presentation, Ethics and Governance and Wrap Up
Course Methodology
Day 1 focuses on advanced social media marketing techniques, starting with a Social Media Advertising Masterclass covering targeting, optimization, and budget management. Day 2 emphasizes creative and strategic elements, starting with a Social Media Landscape Overview, followed by an Advanced Content Creation Workshop where participants learn to craft platform-specific, high-impact content.
Course Objectives
By the end of the course, participants will be able to:
- Enhance their expertise in advanced social media strategies, focusing on advertising, content creation, and optimizing audience engagement for improved campaign performance
- Stay updated with the latest developments and effectively boost content visibility
- Gain the skills to develop and execute well-structured social media campaigns, incorporating key strategies such as influencer marketing, and ROI measurement to drive business success
Target Audience
Corporate marketing managers, social media strategists, brand managers, digital marketing professionals, content marketing specialists, corporate communications managers, public relations executives, advertising account managers, e-commerce marketing professionals, marketing analysts, business development managers, community engagement officers, internal communications specialists, event marketing coordinators, customer experience managers, nonprofit organization marketing directors, product marketing managers, brand communications specialists and corporate executives interested in digital strategy
Target Competencies
- Master advanced targeting, budget optimization, and performance analysis for impactful advertising
- Craft platform-specific, high-impact content using storytelling and design techniques
- Stay updated on algorithm changes and emerging trends to boost content visibility
- Develop and execute structured social media campaigns with comprehensive content calendars
- Monitor brand sentiment and build loyal communities through effective engagement
- Integrate AI, automation, and new platform strategies to stay ahead in social media marketing
- Analyze ROI and KPI metrics to optimize strategies and measure campaign success
