Khouloud El Alami ⚡️’s Post

Over the past week, more than 1500 people applied to the Datore Young Data Professionals Internship program. A lot of people think I’m crazy for opening the doors for this many people to apply. I am. This weekend I crossed 50K followers. Having a network of this size is not something I had ever anticipated or even planned for. I started posting on LinkedIn 9 months ago to engage with other people who were hoping for a career in data. And I feel a responsibility to create value in this platform where I now have an audience. I will leave the technical teachings to people who are much more experienced and skilled than I am. But where I think I can contribute something useful, is to help you refine your approach towards successfully getting employed in the data industry. The sheer amount of people that applied to this internship should tell you how competitive the field is right now. And it seems like those who are doing well in it continue to thrive, whereas there are others who, despite being skilled, certified/formally educated in data, and even experienced, are finding themselves unlucky time and time again. For me this internship program is a project that goes beyond selecting 2 individuals to join our team. By reviewing that many resumes, portfolios and cover letters, I want to understand how to help my network secure jobs in data that they deserve. I am not an expert, but I hope to be able to create valuable content out of this experience that could ultimately guide or inspire at least some of you. At midnight BST last night, we stopped accepting applications for the program. If you are selected for the first round of interviews, you will be notified in the coming days. Now, please be patient with me as I will be managing this work alongside my full time job as a Data Analyst and Client Success Manager. But regardless of the outcome, I hope you will continue to find this space a source of support, positivity, and inspiration. 🙏🏼 Thank you to everyone who enthusiastically participated in the application process all week. Best of luck to all and happy job-hunting 🍀

LinkedIn can be a game changer in your data analyst job hunt You may have learnt the skills such as SQL & Excel You may have done portfolio projects to showcase your skills You may have a stellar CV with impact based points & internships You may have connected with recruiters to ask for inputs But LinkedIn presence & sharing your knowledge can act as your USP I have shared 5 types of posts you can share on LinkedIn related to data to improve your credibility: https://lnkd.in/gfwdhwvP

LinkedIn can be a game changer in your data analyst job hunt You may have learnt the skills such as SQL & Excel You may have done portfolio projects to showcase your skills You may have a stellar CV with impact based points & internships You may have connected with recruiters to ask for inputs But LinkedIn presence & sharing your knowledge can act as your USP I have shared 5 types of posts you can share on LinkedIn related to data to improve your credibility: https://lnkd.in/gfwdhwvP

LinkedIn can be a game changer in your data analyst job hunt You may have learnt the skills such as SQL & Excel You may have done portfolio projects to showcase your skills You may have a stellar CV with impact based points & internships You may have connected with recruiters to ask for inputs But LinkedIn presence & sharing your knowledge can act as your USP I have shared 5 types of posts you can share on LinkedIn related to data to improve your credibility: https://lnkd.in/gfwdhwvP

❓ Is it possible to get an internship in analytics with limited experience in analytics? 😊 Yes!! For most internships, hiring managers shouldn't expect you to have a lot of experience. A lot of internships are designed for current college students, who aren't going to have a lot of experience outside anyway. I highly recommend that students take advantage of their university's career fairs, career centers, on-campus recruiting, etc. That's a great way to find out about internships, network, get interviews, etc. Additionally, I would learn tools like Excel, Python, SQL, etc. and create fun projects that utilize those tools. As a student, you will probably have competitions/classes where you can create such projects and then share on your resume. Furthermore, everyone needs their first opportunity before they get their second, third, and fourth opportunities. Internships are meant to be that first opportunity. What advice do you have for candidates looking to secure internships in analytics with limited experience? Let me know in the comments down below! ---------------------------------------------------------------- If you would like to see more content like this, or content related to the following: ✅ optimization/operations research ✅ data science ✅ job searching/interviewing ✅ my takes Then please follow me here on LinkedIn! #datascience #job #python #intern

I’ve hired 3 cohorts of data science interns — here’s my advice on getting an offer I’ve Hired 3 Cohorts of Data Science Interns — Here’s My Advice on Getting an Offer Resume and interview tips for landing a data science internship Image by Djordje Samkov from Pexels.com In my current role, I’ve had the responsibility of reviewing resumes, performing interviews, and making data science intern hiring decisions for the last three years. As my group is prepping for our fourth cohort of summer interns, I thought it might be helpful to publish a few pieces of advice based on my experience and observations. This isn’t a comprehensive guide to getting a data science internship — a lot of other people have done great work on that subject. This is a hodge-podge of advice that comes from my experience looking at hundreds of resumes and performing dozens of data science internship interviews. My hope is that you can find a few unique tips that can help round out your resume and interviewing skills. I’ve put them in order of my opinion of their importance. Let’s jump in! Tip 1: Differentiators are always important, but they are king for internships! You always want to differentiate yourself and your resume when looking for any kind of job. This often naturally happens through work experience. But, for internships, work experience is not very common. Because of this, there is not a ton of variety in the resumes I see. Even small differentiators can have big impacts because of how similar most resumes are. I’ll express the huge need for resume differentiation further by asking you to put yourself in my shoes at a recruiting event. Imagine you are at a booth in a recruiting event for the statistics department at The Generic University. For two hours, students wait in line to introduce themselves to you and hand you their resume. By the end of the day you are hoarse, your feet hurt, you have a blurred memory of over one-hundred faces and a stack of resumes that rivals the IRS tax code in size. Now I have the unenviable task of reviewing said stack of resumes and deciding whom I would like to invite to an interview and whom I will pass on. I start looking at the resumes…. Resume 1 : Jane Doe Master’s in statistics from Generic University No work experience Some random hobbies Resume 2 : Joe Doe Master’s in statistics from Generic University No work experience Some random hobbies Resume 3: John Doe Master’s in statistics from Generic University No work experience Some random hobbies And it continues for dozens more! You can see my problem here, right? I can’t interview every single statistics student, but so many of them look almost exactly the same! So, I scour the resumes for some kind of differentiator — anything that sets them apart from their classmates in a meaningful way. Because of how similar internship candidates can appear, even small differentiators can have huge impacts. Okay, I think I’ve driven the point of why...

LinkedIn can be a game changer in your data analyst job hunt You may have learnt the skills such as SQL & Excel You may have done portfolio projects to showcase your skills You may have a stellar CV with impact based points & internships You may have connected with recruiters to ask for inputs But LinkedIn presence & sharing your knowledge can act as your USP I have shared 5 types of posts you can share on LinkedIn related to data to improve your credibility: https://lnkd.in/gfwdhwvP

These are the ONLY 6 strategies that will help you land your first internship/role as a Data Analyst/Scientist:   1. Build a Solid Portfolio: Your portfolio should showcase effective queries, scripts, and beautiful visualisations that not only display your technical skills but also provide insights and solutions to business problems. This makes you valuable as a professional.   2. Cold-Emailing Works: Make a list of companies or organisations you’re interested in, and don’t hesitate to send a cold email to recruiters, hiring managers, or even employees in the departments you're interested in. A personalized email showing your enthusiasm and how you can bring value can go a long way.   3. Learn Continuously and Share Your Progress: As you learn, share your progress and insights on platforms like LinkedIn and Medium. This not only shows your dedication to growth but also keeps you visible to potential employers who value continuous learning and adaptability.   4. Build a Professional Network: Join communities—whether online or offline—where data professionals gather. Engaging in conversations, participating in discussions, and learning from others will help expand your network and open up internship opportunities.   5. Contribute/Collaborate on Projects: Engaging in open-source data science or machine learning projects can help you gain real-world experience and collaborate with professionals, especially those with hands-on experience. These contributions also serve as valuable additions to your portfolio and resume.   6. Participate in Hackathons and Competitions: Join online platforms like Kaggle or participate in local or virtual data science competitions. These events provide hands-on experience, challenge your skills, and can even lead to job opportunities as many companies scout talent through such competitions.   These strategies can set you on the right path to securing an internship in data science or data analysis. What strategy resonates with you the most? Let me know in the comments!   P.S: Remember with consistency comes results, you will receive rejections but do not let them stop you from trying! Eventually, you will land that internship/job! #DataScienceInternship #DataAnalytics #Portfolio #NetworkingTips #CareerGrowth

Here's a professional rewrite for LinkedIn: 🎓 Actively Seeking Data Science Internship 🌟 Rohan's LinkedIn headline hits the mark with an active voice, showcasing his pursuit of internship opportunities in Data Science, Analytics, and Business Intelligence. #DataScience #InternshipOpportunities In the About section, Rohan effectively highlights his credentials and years of experience, offering a concise summary of his skillsets to aid recruiters in assessing his suitability for roles. #ProfessionalSummary #Skillsets Including his resume is a smart move, providing potential employers with immediate access to his qualifications and accomplishments. #ResumeInclusion #LinkedInProfile To enhance his profile further, Rohan could consider: - Improving his profile image for better visibility, ensuring a clear contrast between himself and the background. #ProfileImage #Visibility - Adding a profile banner image to elevate the aesthetics of his LinkedIn profile, creating a visually appealing first impression. #BannerImage #VisualAppeal By implementing these enhancements, Rohan can create a more impactful LinkedIn profile that effectively showcases his expertise and attracts internship opportunities. #LinkedInProfileEnhancement #ProfessionalBrand

Hi friends, my April started with this great offer. so here is how this offer will help my career. 1. Hands-on Experience: I'll gain practical, real-world experience working with data sets, tools, and software commonly used in the company. This hands-on experience is invaluable and will strengthen my skills in data manipulation, analysis, and visualization. 2. Skill Development: Throughout the internship, I'll have the chance to enhance my technical skills, such as proficiency in programming languages like Python or R, data querying languages like SQL, and data visualization tools like Tableau or Power BI. These skills are highly sought after in the data analysis field. 3. Problem-Solving Abilities: Data analysis often involves solving complex problems and making data-driven decisions. This internship will provide me with opportunities to tackle various challenges, which will sharpen my problem-solving abilities and critical thinking skills. 4. Networking Opportunities: Internships are excellent opportunities to expand professional network. I'll have the chance to connect with professionals in the field, including mentors, colleagues, and industry experts. Building these relationships can open doors to future job opportunities and collaborations. 5. Resume Enhancement: Having an internship in data analysis in my resume demonstrates to future employers that I have practical experience in the field. It will make me stand out among other candidates when applying for full-time positions or further educational opportunities. 6. Career Direction: This internship experience will help me clarify my career goals within the data analysis field. Overall, this internship will provide me with valuable skills, knowledge, and experiences that will undoubtedly contribute to my future success in the field of data analysis. Congratulations 🎉🎉🎉🎉🎉 to me. Mentorness #mentornessInternship