Placement & Career Development Service
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Item Automatic Extraction of Segments from Resumes Using Machine Learning(IEEE Xplore, 2021-03-22) Gunaseelan, B; Mandal, Supriya; Rajagopalan, VOnline recruitment systems or automatic resume processing systems are becoming more popular because it saves time for both employers and job seekers. Manually processing these resumes and fitting to several job specifications is a difficult task. Due to the increased amount of data, it is a big challenge to effectively analyze each resume based on various parameters like experience, skill set, etc. Processing, extracting information and reviewing these applications automatically would save time and money. Automatic data extraction, focused primarily on skillset, experience and education from a resume. So, it extremely helpful to map the appropriate resume for the right job description. In this research study, we propose a system that uses multi-level classification techniques to automatically extract detailed segment information like skillset, experience and education from resume based on specific parameters. We have achieved state-of-the-art accuracy in the segment of the resumes to identify skill setsItem Career exploration and soft skills: Preparing students for success(Association for Career and Technical Education, 2017) Loup, Claire; Kornegay, Julie; Morgan, JackieImagine having to make a decision right now that could potentially impact the rest of your life. Now imagine having to make that decision while you’re a teenager. Perhaps a conversation takes place that sounds something like this.Item Case Competition Prep(1947-01-01)Item Case Interview Prep(1947-01-12)Item Compassion, Confidence, and Customer Service Training: Recognize and nurture soft skill development to build a better customer service rep.(Association for Talent Development, 2020) Rossi, JosephineProviding great customer service has always been important to business success. Cultivating empathy Each year, 400 customer service agents at Johns Hopkins Medicine - Patient Access handle more than 4.3 million calls, which usually are from nervous patients facing intimidating medical diagnoses. When scripted customer interactions with call center associates were no longer effective at Ameriprise, the L&D team placed active listening at the heart of its adaptable learning framework.Item CONSULTATHON TRAINING MODULE 1(1947-01-01)Item CONSULTATHON TRAINING MODULE 2-2(1947-01-01)Item DEEPER INTO MACHINE LEARNING(1950-01-01)Item Design Thinking : Module-3(Product Management Club, 2021) Product Management ClubDesign thinking is a non-linear, iterative process that teams use to understand users, challenge assumptions, redefine problems and create innovative solutions to prototype and test. Involving five phases—Empathize, Define, Ideate, Prototype and Test—it is most useful to tackle problems that are ill-defined or unknown.Item Electronics(1947-01-01)Item Essential Frameworks and Product Strategy : Module-2(Product Management Club, 2021) Product Management ClubThis is a quick overview of one of our favorite prioritization frameworks - RICE Scoring. The RICE scoring model was introduced by Intercom a few years ago and has been widely adopted and used by product managers and product owners to prioritize feature releases and projects.Item Exploring data(1947-01-01)Item Finance Committee’s Resource Compilation(1947-01-01)Item Hard truths about soft skills: don't underestimate how much they matter in your career success(Business Publications, Inc., 2016) Ryan, BillItem Introduction to Finance Module 1(2020-01-01) Finance Committee, Placement UnitEconomics Circular Flow of Income. How the different components of an economy interact. What are Financial Intermediaries? Role of Financial Intermediaries in an Economy. Types of Financial Intermediaries ● Financial Institutions (Types) (Eg. Commercial Banks, Central Banks, Insurance Companies) ● Financial Markets (Classification) (Eg. Stock Market, Bond Market, Foreign Exchange Market, etc.) Company Life Cycle (Startup to IPOItem Introduction to Finance Module 2(BITS Pilani, 2019-01-01)1. Fundamentals of Financial Accounting (Funda Fin) (Sem: 3-1) 2. Security Analysis & Portfolio Management (SAPM) (Sem: 3-1, 3-2) 3. Derivatives & Risk Management (DRM) (Sem: 2-2, 3-1, 3-2) 4. Business Analysis & Valuation (BAV) (Sem: 3-1) 5. Financial Management (Fin Man) (Sem: 3-2) (Prereq- Funda Fin) 6. Econometrics 7. Financial Engineering (Fin E) 8. Financial Risk Analysis & Management (FRAMItem Introduction to Finance Module 3(2019-01-01)Chartered Financial Analyst Exam Level 1 Free Study Material The Chartered Financial Analyst (CFA) Program is a postgraduate professional qualification offered internationally by the American-based CFA Institute. It has the highest level of global legal and regulatory recognition of finance-related qualifications. The program covers a considerably wide range of topics relating to advanced investment analysis and thus- security analysis, statistics, probability theory, fixed income, derivatives, economics, financial analysis, corporate finance, alternative investments, and portfolio management. The course has three levels and students can appear for Level 1 in their final year (in June & December). Finance Committee will conduct a separate seminar in the future for explaining the scope of this and other such examinations. The reason for introducing this slide here is to provide you with the free video lecture series of CFA L1 study material. Due to substantial overlap between the syllabus covered in finance minor courses & CFA L1, students can complete the chapters from free IFT CFA L1 Study MaterialItem INTRODUCTION TO MACHINE LEARNING(1947-01-01)Item Job Seekers Must Have Strong Soft Skills(Association for Talent Development, 2019) TD MagazineBusiness leaders who are adopting AI face three top challenges: a lack of thought leadership and leadership commitment to invest in AI; a lack of tools and infrastructure to develop actionable insights; and a lack of skills, resources, and continuous learning programs. There is also a reported lack of risk taking, proactive innovation, and cross-function partnerships among teams.
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