illuma’s Post

Grateful for the insightful webinar with Musa Raza Abidi CEO at AI Data Yard and fellow intern Zaynah Khan Khattak, focusing on LinkedIn profile optimization and personal branding. Learned the importance of crafting a standout profile that clearly communicates my career path and aspirations to recruiters. Excited to apply these strategies to enhance my LinkedIn presence and attract new opportunities. #PersonalBranding #CareerDevelopment"

The no BS way to land your first analytics job 👇 𝟭. 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲: The beauty of pivoting into tech is that you can create your own experience with projects. So, don't just passively take courses. Build projects and watch your confidence grow as well. 𝟮. 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗯𝗿𝗮𝗻𝗱: Most people get branding all wrong. It's not about followers or how many people like your posts. It's about promoting the skills, experiences, and values that differentiate you. 𝟯. 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗻𝗲𝘁𝘄𝗼𝗿𝗸: Let's reframe what networking is all about. It's an opportunity to learn from those ahead of you. Not to ask strangers if they're hiring. Focus on building relationships and learning from others. 𝟰. 𝗕𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝘀𝘁𝗼𝗿𝘆: Learn how to translate your past experiences to relevant skillsets for data analytics roles. Once you do, you'll realize you have more experience than you think. And that's it. There's no secret sauce. There's no magic bootcamp or course. --------------------------------------------------------------- I teach people how pivot into analytics with custom skill development + interview prep. Follow me to learn more. #dataanalytics #datascience

Elevate by Evaluate AI: Your Pathway to New Heights in Your Career Are you an experienced software professional itching for the next big opportunity? Ready to leap into roles that will elevate your career with top-notch product and service companies? Look no further! Elevate, an initiative by Evaluate AI, is here to help you soar to new heights with growth prospects that are too good to miss. Here’s why you should join Elevate: 1. Tailored Opportunities: We match your skills and experience with roles that offer the best growth prospects. 2. Top-tier Companies: Gain access to job openings from leading product and service companies. 3. Career Growth: Enhance your career trajectory with positions that challenge and reward your expertise. 4. Skip the Line: In most cases, you'll surpass the L1 interviews and dive straight into advanced interviews—because who has time for that first round anyway? Here’s how it works: 1. Sign Up: Register on our platform. 2. Take Evaluations: Complete evaluations designed to highlight your strengths and expertise. 3. Get Matched: We connect you with companies that value your skills and experience. 4. Elevate Your Career: Land roles that offer the growth and opportunities you’ve been seeking. Why settle for less when you can Elevate your career? Join our platform, take the relevant evaluations, and step into a world of better opportunities and growth. Ready to make the leap? Click the link below to get started: https://lnkd.in/d5twtrPB Don’t just climb the career ladder—soar with a jetpack! Let’s Elevate your career together! #ElevateByEvaluateAI #CareerGrowth #SoftwareProfessionals #NewOpportunities

Thank You, Click2.ai, for Helping Me Find My First Job Dear Click2.ai Team, I wanted to express my heartfelt gratitude for the incredible role Click2.ai played in helping me land my first job. As a recent graduate eager to start my career, I faced multiple rejections for entry-level positions. Many hiring managers seemed to forget that they once needed someone to give them a chance. The frustration was real, but I was determined to find a way to stand out among the crowd of applicants. That's when I discovered Click2.ai. After a few weeks with a particular company, a hiring manager admired my persistence and decided to give me a chance. She recognized that my approach was unique and innovative, thanks to Click2.ai. That single “yes” opened up countless opportunities for me and provided the experience I needed to grow and develop my career. Using Click2.ai was a game-changer. It allowed me to connect with hiring managers in a personal and impactful way, giving me the edge I needed to succeed in a competitive job market. This experience has inspired me to share my story and advocate for others who find themselves in similar situations. I believe that entry-level candidates bring fresh perspectives and ideas, and they deserve a chance to prove themselves. No one makes it to the top without starting at the bottom, and we all need a little help along the way. With tools like Click2.ai, I know anyone can start strong and reach their career goals. Entry level is just the beginning. With Click2.ai, you’re not just another applicant—you’re a standout candidate. Thank you once again for helping me navigate the job market with confidence and land my dream job. I am thrilled to be partnering with Click2.ai, a platform dedicated to helping job seekers innovate and stand out. Warm regards, Kelly #JobSearch #PersonalBranding #CareerAdvice #Click2AI #Recruitment #JobHunting #CareerGrowth #Networking #Click2AIPartner #JobSearchSuccess #InnovationInRecruiting

Welcome to 2024! In the Career Experts Group’s latest newsletter, we explore the top-five career trends reshaping our professional landscape. Discover how AI integration, extended career lifespans, innovative education, and changing economic dynamics are transforming the workforce. Whether you're an experienced professional or new to the workforce, these insights will guide you through a year of exciting possibilities and opportunities.    🔹 You can read the January 2024 newsletter, as well as previous editions of “Your Career>Your Future,” here: https://lnkd.in/eyHwbbBF      🔹 Don’t forget to check out our YouTube Channel (https://lnkd.in/ePX-Ng88) with tutorial videos and interviews and our constantly expanding library of career resource publications (https://lnkd.in/eSNtu5mi).   🔹 To thank our subscribers, we run a quarterly "Elevate Your Career with an Expert" raffle, where one active subscriber wins a complimentary career-related service from one of our Career Experts. Check out page 12 of this month’s newsletter to see our 1st Quarter 2024 winner. 🔹 Is there a topic you’d like us to cover in a future issue? Email us at info@careerexpertsgroup.com. Join us on this journey to adapt, learn, and thrive in the ever-evolving world of work. Let's make 2024 a year of growth and success together! #careers #jobsearch #artificialintelligence #AI #futureofwork #2024goals    

Hey Folks! I hope everyone is at their best, and if not best, they are trying to be so. I am up here with, a little knowledgable bit that I thought would be beneficial to whoever needs it. To highlight the fact that, this piece is important to me, is because I am a normal B.A and is purely not from a tech background. The other day,  Hemanand Vadivel shared with us for our #dailylearning series, a case study of Frooti which is super important to read it atleast 5-10 times for a fresher like me especially to get grip of the business terms (or market terminologies)which is quintessential to provide an insight to stakeholders where only technical skills won't work. So as Dhaval Patel sir says,Mr G and Mr C(Google & Chat GPT)are our best friends. Here I've with help of Mr G come up with easiest definitions of such terminologies which I feel might be important for a fresher from non-tech background like me aspiring to be a Data Analyst. 1. Market Leader: A market leader is Co. with the largest market share in an industry that can often use its dominance to affect the competitive language. 2. Brand Recognition: Brand Recognition is the extent to which a consumer can correctly identify a product or service just by viewing the product or services logo/packaging/advertising campaign. 3. Market saturation: Market Saturations happens when products or services are no longer in demand due to multiple offerings by competitors or simply less in demand. 4. Strategic Repositioning(SR):It is process that changes function within an institution not just how people do the jobs they have done,but what they do. 5. Market Revamp: A brand revamp or rebranding requires a company to revise its marketing strategy via a new name,logo or design. Rebranding is not merely about changing logos or tweaking taglines. While scrolling, enjoy the benefits of google🤠 #dataanalyst #businessterms #businessanalyst

Choosing DnA just because it's trending? 🫣📈 Here is a personal take as per my experience. Once and when you start positioning yourself as an Analytics professional, for example starting up with your first job or maybe just a college project, it all starts to nurture the quantitative and problem-solving bent of mind. Data and Analytics will be relevant for a long time now, of course with technological disruptions along the way. But why should you choose it apart from being a trendy and high paying job role? What's in it for you? 🙋💁🙅🤷🙎 Let me cite a persona: X is passing out with a Bachelors degree from an accredited, recognised university. Right out of college he/she joins a firm working in the domain of D&A. Post working there for 1-2 years, X could open up other switching opportunities to other similar companies. On a daily basis, X understands business challenges, solves them using the latest technologies and works toward optimising the existing process. All these experiences help X in opening up similar avenues like Data Engineering, Business Analyst, Product Owners, Product Managers, Data Scientist, AI/ML Engineer and so on. Like a cherry on the top, X can also gear up to use this experience to pivot into some niche business sectors attributed to the business understanding gathered from multiple clients across industries. This is what we call having an "edge". There are many more avenues to this as well which comes from snowballing opportunities. 🎯💡 This summarizes how we as young professionals can position ourselves as an Analytics professional and reposition according to our needs as we move forward in our career. To add on to the above points, DnA thus provides you with a certain extent of career flexibility as well. This can also answer pertinent questions for beginners - Why to even aspire to be in this field, why are so many people joining this. Joining and trying to be a part of this Data and Analytics wave just because it's trendy can be a risky affair without even thinking about the sharp water currents and the sharks waiting to eat you up! 🫠 --------- Don't you worry about the picture, I just try to flirt with the LinkedIn algorithms once or twice a month like this just to see if it responds. 🥵 #dataandanalytics #analytics #consulting #industry

I was reading a thread and saw an interesting conversation and schools of thought. One thought was "I care less how many certifications you have or titles you carry, what is important delivering value to your customers and keeping your teams productive and motivated" The other thought was "acquiring certifications and titles and displaying everywhere on your resume or profiles is more relevant as it gets the attention of the automatic hiring AI bot. So focus more on that" Paused for a second and think about it, the debate between qualifications versus value delivery is more relevant than ever. On one hand, we have the traditional markers of competence: certifications and titles. They have long been the gatekeepers to career advancement. Yet, there's a growing school of thought that emphasizes the actual value delivered to customers and the happiness of the team as the true measures of professional success. I call them the 'Substance Squad,' who believe that the proof is in the pudding (or in this case, the work). They argue that certifications and titles are just the cherry on top, not the whole sundae. It's a wake-up call to prioritize capability and delivery over mere credentials and titles. It encourages a shift from showmanship to stewardship, urging candidates to develop skills that drive real business outcomes. However, on the recruitment side, there is the so called 'Keyword Krew' armed with buzzwords and SEO tactics, ready to optimize their way into the heart of the AI hiring bots. The threat, lies in the potential exclusion of qualified candidates who may not fit the keyword-centric criteria of automated hiring systems. This could lead organizations to miss out on the unique contributions and growth that these individuals could bring. I subscribe to a new breed The 'Human Touch,' advocating for a blend of tech-savvy and personal touch in the recruitment process. So, who will emerge victorious? Will it be the Substance Squad with their value-driven approach, the Keyword Krew with their algorithmic allure, or the Human Touch with their balanced strategy? In my opinion, it should be a win for innovation, growth, productivity and a more customer centric organization. As professionals, we must navigate these waters with care, ensuring that our hiring practices is enabling the right behaviors and evolves to meet the needs of a dynamic workforce. What do you think? I would love to hear your thoughts on it. #TalentAcquisition #Recruitment #AI #ProfessionalDevelopment #ValueDelivery #HiringTrends #JobMarket #AIRecruitment #HumanTouch #SubstanceOverKeywords #CareerGrowth #Agile #ScrumbanAi

Day 9 of 30 days of Data Storytelling! 📈🚀 Inspired by Saurabh Moody's wisdom: "Put Passion in your Stories." Key takeaways from yesterday's session: • Understand your data thoroughly. • Present your data in a logical flow. • Tailor your message to your audience. In an engaging talk on answering interview questions, we emphasized: • Your response to "Tell me about yourself" shapes the interview. • Always have concise summaries ready. • Speak confidently and with clarity. • Showcase your work through a portfolio. • Cultivate complementary skills, like combining Data Analysis with Storytelling. • Avoid providing exact numbers during salary negotiations. We explored the art of negotiating job offers, focusing on the learning curve over immediate pay. When negotiating, prioritize learning opportunities, especially for your first job. Big thanks to Saurabh Moody and Jayen T.! They shared incredible wisdom about storytelling🎉 A special shout-out for granting early access to the Super AI Platform - it's like having a superpower for storytelling! 🚀 Follow Raj Kumar for more data storytelling content! #gpt #datastory #datastorytelling #citizendatascientist #superai #intern #opentohire #interviewtips #CareerAdvice #negotiationskills

Here is my first task at HNG Tech as an intern. I have been tasked with the following objectives to express my analytical skills at reviewing datasets at first glance to define trends and patterns and communicate findings, as well as to develop exploratory skills. 📍 Objectives; 1. Review the provided dataset. 2. Identify initial insights from the data at first glance. 3. Write a brief technical report detailing my observations. 💡 The dataset reviewed is a sample sales dataset sourced from Kaggle which has 25 columns in total, and the content revealed the dataset was for sales of vehicles and involved sales from 2003 to 2005 with the important columns that can be used to get meaningful insights to be, quantity ordered, sales, order date, status of order, product line, country where the order came from, and contact of the customer. The purpose of this review is to help me develop skills in data interpretation and communicating insights at a glance. To engage my analytical mind in exploring complex datasets, and evaluating metrics. 🔎Observations; 🌟 There are 2,823 records 🌟 The "quantityordered" and "priceeach" column was used to get the sales column 🌟 There are 6 categories of the status order, 7 categories for the product type, 4 categories for the territory, and 3 categories for deal size 🌟 The types of products have a specific product code to it respectively Conclusions; After conducting a quick exploration of the dataset, it was observed that; 1. Classic cars are the most ordered product type 2. EMEA territory has the highest number of sales among all territories 3. There was a drop in sales from 2004 to 2005 4. There were fairly stable sales with minor fluctuations from January to September showing And then further analysis can be carried out on the following; 1. Product Performance: Classic cars and Vintage cars are the most common product lines. We should analyze their sales performance and profitability. 2. Deal Sizes: Most deals are either Medium or Small, with relatively few large deals. We could investigate what factors contribute to larger deals and how to increase their frequency. 3. Territorial Analysis: EMEA (Europe, Middle East, and Africa) dominates the territories. We should examine the performance in other regions and identify growth opportunities. 4. Sales Trends: Given order dates, we can analyze sales trends over time to identify seasonality or growth patterns. 5. Customer Segmentation: With customer information available, we can segment customers based on their purchasing behavior and develop targeted marketing strategies. Link to dataset - https://lnkd.in/ekmNd47G PS: I cleaned the dataset using Power Query Editor before proceeding to build visuals #dataanalyst #hnginternship #exploredatasets #powerbi