Watchful’s Post

Sharing my 5 months timeline of jobsearch and restarting life and #data career in #toronto #Canada Here is the timeline: 📍End of Oct, 2023 - 1 recruiter screen from an Apparel company 📍Nov, 2023 - 2 recruiter screens from a Bank and almost #faang company 📍Dec, 2023 - 2 rejections from both Apparel and Bank company. Got qualified for a sql take home assignment at the faang company 📍Jan, 2024 - Rejected from faang company after attempting its final round, However, they called me again for another role 📍Feb, 2024 - Qualified for another take home project (this time it was for a week data analytics project) 📍Mar 2024 - After its final round, again rejected. Got called for a consulting company interview & current company interview 📍End of Mar 2024 - Consulting company paused hiring while I got the offer from my current company. Canadian job market is brutal, especially in #data #jobs #womenintech #immigration #interview #jobinterview Any data interview you would want to hear more about? Follow for more!

90% of Tech Professionals Can Ace FAANG & MAANG Applications The Other 10%? They Haven't Mastered Their Resume Yet. ✅ Do’s: • Highlight Achievements: Use metrics (e.g., “Improved system performance by 30%”). • Use Keywords: Tailor to the job (e.g., "machine learning," "cloud computing"). • Showcase Skills: Include languages/tools relevant to the role (e.g., Python, React). • Include Projects: Highlight impact ("Built app using React; 100K+ users"). • Use Action Verbs: "Developed," "Optimized," "Led." • Focus on Impact: "Increased sales by 20%." • Clean Layout: Simple format, clear sections. ❌ Don’ts: • No Generic Objectives: Use a tailored summary. • No Irrelevant Experience: Highlight tech-related roles only. • Avoid Jargon: Keep it understandable for non-technical recruiters. • Don’t Lie: Be honest; discrepancies are easy to spot. Follow me @Sai Prakash Gundemeda for more career tips!

Securing a MAANG Interview Is Half the Battle! . . . In the competitive landscape of tech careers, many believe that cracking the interview is the ultimate challenge. However, the truth is, getting interview calls can be even more daunting. I’ve been there myself, sending out applications and waiting, but not getting any response. It’s tough. But then I changed how I did things, and that’s when the calls started coming in. That’s exactly why I created this video to demystify the process and give you the tools and confidence to stand out from the crowd. https://lnkd.in/dfJH8DzX Drawing from my personal journey and professional experience at Microsoft, Samsung, and TCS, I’ve compiled essential tips and strategies that have helped me and many others receive those coveted interview calls from MAANG companies. In this video, you’ll discover: 1. Strategic Application Tips: How to apply effectively to catch the eye of MAANG recruiters. 2. Personal Insights: The pivotal points that transformed my job search and led to those exciting interview calls. 3. Actionable Advice: Practical steps you can take today to enhance your chances. Whether you’re a recent graduate or an experienced professional, this video is packed with actionable advice to elevate your job search strategy.

Do you know the similarity between DSA and a girlfriend????? No matter how you learn about them, there is always something which you can't understand 😆😆😆😅😅😅😅😅😅😆😆😆😆😆🤣🤣🤣🤣🤣🤣🤣 #linkedin #hld #lld #manager #hire #hiring #tech #joke #hr #faang #maang #systemdesign #coding #dsa #interview #interviewexperience #job #jobs #openforhire

Hi LinkedIn People #URGENTLYHIRING #IT #opentowork WE'RE CALLING ALL IT ENTHUSIASTS #techtalent #IT #opentowork We're currently open for several positions : 1. Data Scientist (Middle) Requirement : Data collection and cleansing: a) Collect data from multiple sources and clean it to ensure quality and consistency. Data scientists are responsible for handling missing data, correcting errors, and ensuring that the data format is suitable for further analysis. Data Analysis. b) Perform statistical analysis and data exploration to find relevant patterns, trends, and insights. Data scientists use a variety of analytical techniques to gain a deep understanding of data and support business decisions. Predictive Model Development. c) Design, develop, and test predictive and machine learning models to solve specific business problems. Data scientists select the right algorithms, train the models, and evaluate their performance to ensure accuracy and effectiveness. Data visualization. d) Create clear and informative data visualizations to communicate analysis results to stakeholders. Data scientists use visualization tools to create graphs, dashboards, and reports that make data easy to understand. Communicate insights. e) Present analysis results and recommendations to management and other stakeholders. Data scientists need to be able to explain complex insights in language that non-technical people can understand, and make recommendations that can be implemented. Placement : Jakarta 2. Data Engineer (Senior) Requirement : a) 5+ years experience as a Data Engineer with a strong b) focus on AWS technologies c) Expert in Design Pattern and SOLID concept d) Fluent programming skill in Python & Spark e) Proficiency in containerization (Docker) f) Proficiency in AWS services such as ECS, Glue, Lambda, S3 g) Experienced in API creation h) Familiarity with SQL databases i) Knowledge of data security principles j) Experience with data orchestration and workflow k) management tools such as Airflow l) Excellent problem-solving and analytical abilities m) Excellent verbal and written English communication n) skills, Able to work hybrid in Jakarta Office if you are match with the requirements above, please send your CV directly to the email address. Subject according to the position applied. Subject : LinkedIn - Position (Name) email : [email protected] / [email protected] Whatsapp : 08979881008 Share to anyone, Thanks ! #IT #developer #applicantions #jobvacancy #jobloker #lokerindonesia #lokerjakarta #lokerit #engineer #lokerjabodetabek #komunitasit #komunitasprogrammer #itcareers #alwayshiring #hiringit #docker #spark #python #sqlserver #dataengineer #datascientist #aws #glue #databasesenior

I'm thrilled to share a comprehensive document I've created: 100 Important 'Business Analyst' Interview Questions & Answers." This resource is the result of extensive research and hard work, drawing insights from top FAANG companies. This are Types of Question Available in Document of 100 important 'Business Analyst' Interview Questions & Answers : 1. General Questions 2. Analytical Skills 3. Technical Skills 4. Requirement Gathering 5. Process Modeling 6. Communication Skills 7. Project Management 8. Solution Assessment and Validation 9. Industry Knowledge 10. Behavioural Questions 11. Scenario-Based Questions 12. Advanced Questions 13. Technical Questions 14. Soft Skills 15. Case Studies 16. Domain-Specific Questions 17. Closing Questions 18. Bonus Questions 19. Emerging Trends 20. Personal Development Please share this post to reach as many aspiring Business Analysts as possible. Let's help each other succeed! #BusinessAnalyst #InterviewPreparation #CareerGrowth #FAANG #JobHunt #ProfessionalDevelopment #LinkedInLearning #DataAnalytics #CareerAdvice #BusinessAnalysis

#FAANG #JobSearch #RecruitmentChallenges #CareerGrowth Hey everyone! So, I recently had a facepalm moment with a FAANG recruiter that’s got me second-guessing my entire career direction. 😅 Let me share my thoughts! I’ve got a solid background in statistics and programming, with a PhD and over five years of experience in data science. Last year, I interned at a FAANG company but didn’t get a return offer due to all the layoffs. At the time, I was bummed, but looking back, my experience felt mediocre — there was just too much office politics, and I wasn’t thrilled with my project. Yet, after a few months, I thought, “Why not try my luck again?” So, I reached out, and my former manager was kind enough to refer me. Then came the recruiter call, which was a total rollercoaster ride! 🎢 Here are a few pain points that stood out: Unprepared Recruiter: The recruiter hadn’t done their homework. They didn’t even know I had previously interned there, which made for an awkward chat. No Clarit... Is a FAANG Recruiter's Disinterest Driving You Toward Startups? Answers: https://lnkd.in/gdEb3un4

#FAANG #JobSearch #RecruitmentChallenges #CareerGrowth Hey everyone! So, I recently had a facepalm moment with a FAANG recruiter that’s got me second-guessing my entire career direction. 😅 Let me share my thoughts! I’ve got a solid background in statistics and programming, with a PhD and over five years of experience in data science. Last year, I interned at a FAANG company but didn’t get a return offer due to all the layoffs. At the time, I was bummed, but looking back, my experience felt mediocre — there was just too much office politics, and I wasn’t thrilled with my project. Yet, after a few months, I thought, “Why not try my luck again?” So, I reached out, and my former manager was kind enough to refer me. Then came the recruiter call, which was a total rollercoaster ride! 🎢 Here are a few pain points that stood out: Unprepared Recruiter: The recruiter hadn’t done their homework. They didn’t even know I had previously interned there, which made for an awkward chat. No Clarit... Is a FAANG Recruiter's Disinterest Driving You Toward Startups? Answers: https://lnkd.in/g2yemZ2d

🚀 Startups vs MAANG: How do their tech interviews differ? 🤔 As a fresher preparing for interviews, understanding the key differences between startup and MAANG (or similar big tech) interview processes can be a game-changer! 💡 Here’s what our instructor, Sunyul Hossen (Ex-Software Engineer at Goldman Sachs & Adobe), shared: 🌟 MAANG Interviews: Generalist-focused, even for domain-specific roles. Example: For a Full Stack Web Development team, they might ask basic project-related questions but won’t dive deep into MERN, Java Spring, or Python Django. 🚀 Startup Interviews: All about specifics, even in the first round! Example: If the role is for MERN, expect in-depth technical questions about the stack right from the start. 💡 Knowing this difference helps you target your preparation more effectively. 🎥 Catch the full discussion on our YouTube channel—link in the comments! Have you experienced this difference in interviews? Which style do you prefer? Share your thoughts below! 👇 #InterviewCall #TechInterviews #StartupsVsMAANG #FreshersGuide #CareerTips #JobPreparation