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Join us for a dynamic seminar to enhance your career with expert insights on LinkedIn, technology careers, and entrepreneurship. Learn valuable tips to boost your career success.
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TRUE WEALTH MINISTRY CAREER SEMINAR TURBO-CHARGE YOUR CAREER 2019!
Agenda • Introductions & Objectives 10:00 – 10:15 • LinkedIn 10:15 – 11:15 • Break Out Sessions 11:30 – 12:30 • Careers in Technology • Entrepreneurship as a Career Path • Employer Networking Session 12:45 – 1:45 • Wrap Up/ Close 1:45 – 2:00
Biographies of Presenters Nkem Oraegbu is a Product & Project Management expert. She has worked in a variety of regulated industries, including banking and insurance. Nkem holds a Master’s in Business from Purdue University and is a certified Project Management Professional (PMP). Nkem will be facilitating the LinkedIn portion of the seminar, helping members create optimized profiles that bring results. John Ohakim is a data analytics and modeling expert. He currently works as a Data Engineer in the Consumer Goods industry, where he is involved in using Artificial Intelligence (AI) to drive strategic decision making. Prior to this, John taught undergraduate economics courses and worked as a researcher on a Federally funded project. He holds a graduate degree in Economics from Colorado State University. John will be facilitating the Careers in Technology session. Chike Agu is a seasoned software development manager at JP Morgan Chase & Co. He manages the creation of software that seamlessly consumes computer infrastructure at the speed of business. He has worked as a sales engineer, a software developer, or architect in several industry sectors that span banking and finance, education, manufacturing, R&D, healthcare, energy, and entertainment media. Chike holds an electrical engineering degree from City College of New York and an MBA from Columbia University. Chike will talk about best practices used in software development to create bug free applications that are secure and user friendly.
Biographies of Presenters Fola Fapohunda, CPA, PMP, MBA, is a Director in the Financial Planning and Analysis team at Morgan Stanley in New York City. He founded Capital Street Group, a small boutique private equity firm based out of NJ. Fola is a serial entrepreneur having been involved in a wide range of industries including Consulting, Tax Strategy, Tech space, Real Estate and Aquaculture. Fola has over 15 years of finance experience, and holds a B.Sc. in Accounting from the University of Delaware and MBA candidacy at the University of North Carolina - Chapel Hill. He is also the Chairman of the Board of Trustees at AHOW, and Treasurer for MyGoal. Fola will be co-facilitating the Entrepreneurship session. Dolapo Adedeji is a woman passionate about helping other women achieve success and build wealth. She is the current Founder and CEO of D Success Factor - a business that aims to coach women who want or are building their EMPIRES while having a positive impact on their communities. Dolapo is currently a mom to two awesome kids and she is married to an amazing and loving husband for the last 15 years. Dolapo is currently working for Barclays Bank as a Vice President on the Financial Crimes Compliance Audit team. Dolapo is a certified internal auditor (CIA) and a certified anti-money laundering specialist (CAMS). Dolapo will be co-facilitating the Entrepreneurship session.
TRUE WEALTH MINISTRY Using LinkedIn for Career Success
LinkedIn To Ask Questions… Follow these Instructions • Go to www.Sli.do • Enter event code #P091 • Type your questions…
Outline • Introduction to LinkedIn • Importance of LinkedIn • How to create an optimized profile • How to know your profile is optimized • Additional tips for optimizing your profile • Examples of good & bad LinkedIn photos • Examples of good & bad LinkedIn summaries • How to search for jobs on LinkedIn • How to filter your job search results • Key LinkedIn features • Additional Tips- Increase your Skill Match % • How Recruiters use LinkedIn • Getting Recruiters to contact you • Should you upgrade to a Premium account? • Final thoughts
Introduction to LinkedIn • Professional Networking and Job Site • Largest social media tool for working professionals • 500 million members and growing • Get jobs • Apply to jobs directly • Reach out to HR recruiters and Hiring Managers directly • Get jobs without applying • Recruiters use LinkedIn to proactively search for candidates for their jobs
Importance of LinkedIn • Research • Look into different career paths • Research potential employers • 75% of hiring managers look at profiles to learn about a candidate • Networking • Find people in the same industry and keep in touch with current and former colleagues, managers, alumni and more • Connect with Industry Leaders • Gives you access to influential people, CEOs, VPs and more • Build your brand • Become a thought leader • Comment on industry specific articles, or just share your comments on things you know about.
How to Create an Optimized Profile • Sign up on LinkedIn’s website • www.linkedin.com • Make sure you have a Professional Photo (no pet pictures for example) • 21X more profile views • Add Experience • Add Skills • 13X more profile views • Add Education • 17X more profile views • Add Location • 23X more profile views • Over 30% of Recruiters search by location • Add Connections • Start with people you know e.g., Coworkers, People from church, People you conduct business with etc • Build your connections with your goal in mind • Large network or small network? • Large network is preferred for job search
How to Know your Profile is Optimized • All Star Status • 40X more likely to be connected
Other Tips for Optimizing your Profile • Write in the “I” person • Put your specialty in the headline section • Add certifications to your name e.g. PhD, MD, CSM • Add achievements to the summary section • Get recommendations • Ask colleagues, managers to give you one
How to Search for Jobs on LinkedIn • Select the Jobs Icon • Type in Job Title and Zip code and hit the Search button. Can also search by certifications e.g. CPA.
How to Filter your Job Search Results • Filter by • Date Posted • LinkedIn Features (Easy Apply) • Job Type (Full Time, Contract etc) • Distance • Company • Experience level • Industry • Title • Benefits • Sort Jobs by Date or Relevance
Key LinkedIn Features Apply quickly for many jobs with the Easy Apply button • Select In Your Network for jobs where your friends currently work in • Use LinkedIn Features to get your job faster • Select Under 10 Applicants to be among the first candidates
Other Tips- Increase your Skill Match % (1) • Review the How you match section • Note the skills you currently lack • Go to your Profile • Scroll down to the Skills & Endorsements section • Select Add a new skill
Other Tips- Increase your Skill Match % (2) • Add all the Skills you have from the job description that are currently missing from your skillset
Other Tips- Increase your Skill Match % (3) • Go back to the job description and refresh Previous Skillset Updated Skillset
How Recruiters use LinkedIn • Over 90% of Recruiters rely on LinkedIn to find and vet candidates according to the Society of Human Resource Management (SHRM). • Many employers purchase licenses so that their recruiters can have expanded access to LinkedIn’s capabilities. • Employers also track how often recruiters use LinkedIn to justify the budget expense. They check # of profiles viewed on a monthly basis, number of searches made by recruiters etc. Consequently, recruiters are further incentivized to use the application. • Sample pricing: • LinkedIn Recruiter- $8,000 per seat (2015 pricing) • LinkedIn Recruiter Lite - $99.95 per month (2018 pricing)
Getting Recruiters to Contact YOU (1) • Let them know you’re available • On your Profile Page, scroll to the Dashboard section and click on the Off button under Career Interests. • Switch the Off button to On • Complete the bottom section with your career preferences
Getting Recruiters to Contact YOU (2) • Sprinkle Keywords from your target job description in your profile and work experience • Example of keywords for a project manager: requirements, project plan, PMP • Ensure your LinkedIn Profile is in All Star status
Should you Upgrade to a Premium Account? • $29.99 per month • Free, first month • Offers you: • Direct Messaging to Recruiters • Featured Applicant • Online Video Courses • Who’s viewed your profile (Last 90 days) • Applicant insights • Instant access to salary insights • Doesn’t appear to be worth the additional price • Can access a number of these services for free (Glassdoor, Udemy, YouTube)
Final Thoughts • Worth taking the time to fill out a LinkedIn profile • Request & Give Endorsements & Recommendations • Continuously update your profile with new skills, achievements etc. • Download the App so that you can quickly respond to recruiters
Sources • https://www.socialtalent.com/blog/recruitment/worst-linkedin-bios-ever-part-one • https://komarketing.com/blog/optimize-your-linkedin-profile/ • https://business.linkedin.com/marketing-solutions/blog/best-practices--thought-leadership/2018/add-punch-to-your-linkedin-profile-using-these-examples-as-inspi • https://business.linkedin.com/talent-solutions/blog/linkedin-best-practices/2016/7-linkedin-profile-summaries-that-we-love-and-how-to-boost-your-own
TRUE WEALTH MINISTRY Careers in Technology Big Data and AI: Applications and Opportunities
Careers in Technology To Ask Questions… Follow these Instructions • Go to www.Sli.do • Enter event code #R396 • Type your questions…
Outline • Definition of Concepts and Terms • Applications and Examples • Career Opportunities • Case Study • Making the Transition • Concluding Remarks
Dimensions of Big Data Volume Variety Velocity Scale of Data Forms of Data Analysis of Data Flow It is estimated that 2.5 Quintillion Bytes of Data (2.5 + 17 zeros) are generated each day. Structured vs Unstructured Data. Data streams into a server in real time. There is an almost continuous flow of data in real time. • 2.5 Quintillion Bytes of Data daily • 6 billion people with cell phones • 30 Billion pieces of content shared on FB monthly • NYSE captures 1 terabyte of trade info in each trading session. • 5 Billion videos watched on YouTube daily; 3.25 billion monthly. • Value of big data in healthcare $14.25 billion (2017). • 500 Million tweets per day (2018) • Modern cars have close to 100 sensors. • 1.2 billion songs streamed daily (2016).
What is Analytics? “Analytics is the discovery, interpretation, and communication of meaningful patterns in data; and the process of applying those patterns towards effective decision making” Nexus between data and effective decision making within an organization.
What is Artificial Intelligence (AI)? AI has become the centerpiece of strategic decision making for organizations. It will be impacting your current role as well.
What is Machine Learning (ML)? “A branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention”
AI vs ML Artificial Intelligence Machine Learning
Applications Manufacturing Retail Healthcare and Life Sciences • Predictive maintenance or condition monitoring • Warranty reserve estimation • Propensity to buy • Demand forecasting • Process optimization • Telematics • Predictive inventory planning • Recommendation engines • Upsell and cross-channel marketing • Market segmentation and targeting • Customer ROI and lifetime value • Alerts and diagnostics from real-time patient data • Disease identification and risk stratification • Patient triage optimization • Proactive health management • Healthcare provider sentiment analysis Energy, Feedstock and Utilities Travel and Hospitality Financial Services • Compliance and Risk Monitoring • Customer segmentation • Customer service (Chatbots) • Sales and marketing campaign management • Credit worthiness evaluation • Fraud and Anti-Money Laundering • Power usage analytics • Seismic data processing • Carbon emissions and trading • Customer-specific pricing • Smart grid management • Energy demand and supply optimization • Aircraft and ticket scheduling • Dynamic pricing • Social media – consumer feedback and interaction analysis • Customer complaint resolution • Traffic patterns and congestion management
Career Opportunities $110,100 $101,500 $121,400 $67,400 Data Analyst Machine Learning Engineer Data Scientist Data Engineer - Bachelors, Masters, PhD - 0-5 years experience - PhD in CS, Engineering, Math - 3-5 years experience - Bachelors, Masters, PhD - 1-5 years experience - Bachelors - 0-5 years experience • Design, develop and deploy Models • Machine Learning • Data Warehousing • Math and Statistics • Programming • Data Visualization • Math and Statistics • Machine Learning • Querying • Querying • Data Wrangling • Data Visualization • Statistics • Database Design • Data Collection and Warehousing • Statistical Modeling • Querying
Case 1: Data Analyst Technical Transferrable
