Reshmi Ghosh on LinkedIn: For *students graduating in the 2024 cycle*: MAIDAP is hiring Applied…
Reshmi Ghosh
For *students graduating in the 2024 cycle*:

MAIDAP is hiring Applied Scientists and Software Engineers (MLEs) to join the program. This is an opportunity to…
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I occasionally get pinged by grads looking for inspiration for a software engineering PhD. My advice: work as a software engineer for a couple of years. While you're asking "What can I research in this field?" we're often asking "How is there not any good research on this?" It also brings the extra benefit of having a PhD in a subject you actually understand. (You might even decide a PhD isn't worth the effort, especially if you get involved with hiring.)

Hi everyone!! I am sharing my on-campus #placement experience. My Background: I have experience in machine learning (specifically computer vision). I also did a little competitive programming in my 2nd year of college, so I applied for some software roles. Although I am not an expert in DSA and competitive programming, given my CGPA and resume, I was shortlisted for interviews by several companies like #Google #Microsoft #Deshaw #Media.net #Qualcomm #Olaelectric #Plutus #Hilabs #Dolat #Javis #Inito #SuperAGI for different roles (#software, #research, #quant, #datascience). I gave interviews for only 2 companies (Google and Microsoft). Google: There were 3 rounds of interviews Round 1: 45 min (DSA: Array) + 15 min (Googleyness and leadership) (difficulty: leetcode easy+medium) Round 2: 45 min (DSA: DP) + 15 min (Googleyness and leadership) (difficulty: leetcode medium+hard) Round 3: 45 min (DSA: DP on trees) (difficult: leetcode medium+medium) All DSA questions had follow-up questions. Microsoft: There were mainly 2 rounds of interviews. Round 1: DSA: Graphs (modified connected components) and Trees (right view) (difficulty: leetcode medium) Round 2: Projects, Oops and Problem-solving Round 3: They liked some of my projects and discussed them in detail in this round. Finally, I got SWE offers from both Google and Microsoft. If you have any questions, feel free to connect! #placements #DSA #machinelearning #resume #projects #hiring #graphs #trees #dp #interview #oncampus #swe #leetcode #array

In 2023, I decided to make a Switch from SDE ➡️ Data Science domain. And YES, I achieved my goal, eventually! However, I’ve seen many working professionals like me who plan to make a switch but give-up half-way because: - They get overwhelm with the Syllabus to cover - Feel demotivated & depressed - And those who pick-up get inconsistent due to busy work-life So, here’s what helped me make a great switch from Software Engineering to Data Science: 1. Making a Structured Plan & Timeline: Like, since, my target was Data Scientists Role or ML Engineer role, for each of them I kept a timeline and tried to cover the topics within that time-frame. 2. I began by polishing my basics concepts of ML, Computer Vision & NLP along with Maths & Stats. 3. Since, Data Science also includes coding as well, I made sure to Practice DSA every single day. For this Leetcode came in handy. Make sure to practice Medium problems since, these are mostly asked. 4. Lastly, I moved to Advanced topics of my interest like Generative AI models, LLMs, etc.. Not just this I focused on building my resume strong by working on Projects. Following all this Consistently helped me achieve my target at the end. However if you’re a working professionals and are struggling to cover everything along, I’d suggest letting the veterans at Bosscoder Academy, help you. Check them here: https://bit.ly/4auWuW8 They can help you with - ✅ Structured curriculum to learn Machine Learning, Generative AI, Data Visualization and more. ✅ Personal Guidance from Data Analysts / Scientists working in Google, Samsung etc. ✅ Multiple projects for SQL, Python etc. to build portfolio. P.S. Personal Placement Support also provided. #datascience #collab #upskill #cse #iit #dsa

This question was asked by Microsoft company: 1775. Equal Sum Arrays With Minimum Number of Operations You are given two arrays of integers nums1 and nums2, possibly of different lengths. The values in the arrays are between 1 and 6, inclusive. In one operation, you can change any integer's value in any of the arrays to any value between 1 and 6, inclusive. Return the minimum number of operations required to make the sum of values in nums1 equal to the sum of values in nums2. Return -1 if it is not possible to make the sum of the two arrays eq class Solution: def minOperations(self, nums1: List[int], nums2: List[int]) -> int: sum1 = sum(nums1) sum2 = sum(nums2) if sum1==sum2: return 0 if sum1<sum2: nums1,nums2 = nums2,nums1 sum1,sum2 = sum2,sum1 diff = sum1-sum2 li = [] for num in nums1: if num>1: li.append(num-1) for num in nums2: if num<6: li.append(6-num) li.sort(reverse=True) ans = 0 for i in li: diff-=i ans +=1 if diff<=0: return ans return -1 Reason to consider me: · Internship experience · 2100+ on Leetcode · Expert at Codeforces · 2100+ on CodeChef · 10+ Project (Web Development + Data Science and Machine Learning) · Final year student from BITS Pilani · 2 Thesis (Mathematical Optimization and Machine Learning) #TechJobs #HiringNow #TechCareers #DataScience #MachineLearning #SoftwareEngineering #ITJobs #TechTalent #JobSearch #CareerOpportunities #MAANGJobs #BigTechJobs #TechRecruitment #GoogleCareers #TechHiring #EngineeringJobs Video Solution:

🔑 Key to Success: Data Structures and Algorithms (DSA)! 🔑 Hey everyone! 🌟 We all want to grow and succeed in our careers. But there's one area many of us, especially in Pakistan, often overlook - Data Structures and Algorithms (DSA). Why is DSA important? 🚀 Boosts Problem-Solving Skills: Helps you think critically and solve complex problems efficiently. 🛠️ Foundational Knowledge: Essential for understanding advanced computer science concepts. 🎯 Job Opportunities: Many top tech companies like Google, Microsoft, and Facebook prioritize DSA knowledge in their interviews. 📈 Career Growth: Mastering DSA can lead to higher salaries and better job roles. Let me share a personal experience: I recently interviewed for a Software Development Engineer II (SDE II) position at Amazon. In the second round, I faced a challenging problem that I couldn't solve. This made me realize how crucial DSA is, even for experienced developers. Let's change this! 💪 📚 Start Learning: Use free resources like online courses, YouTube tutorials, and coding platforms (LeetCode, HackerRank). 🧑🤝🧑 Join Study Groups: Collaborate with friends and colleagues to learn together. 💡 Practice Regularly: Dedicate a little time each day to practice coding challenges. Let's focus more on DSA and take our skills to the next level. Together, we can make a difference! 🌍✨ #Developers #DSA #Coding #Pakistan #CareerGrowth #TechCommunity #Amazon #AWS

At Dropbox, we’ve long believed in AI’s potential to completely transform knowledge work and it’s why we’ve invested in these areas to create solutions that enhance our users productivity. Understanding that traditional job families like Machine Learning Engineer and Data Scientist don't fully capture the breadth of skills needed, we have refined our hiring strategy to create a more inclusive job family called Applied Science. This move allows us to cast a wider net in our search for talent, tapping into diverse skill sets, and in alignment with our commitment to innovation. Whether you excel in scientific research services, experimental design, applied mathematics, or scientific modeling, we encourage you to check out our open roles! Staff Applied Scientist (US) - https://lnkd.in/entWNpWq Staff Applied Scientist (Cananda)- https://lnkd.in/eCj7bvdk #hiring #LifeInisideDropbox #AppliedScience

At Dropbox, we’ve long believed in AI’s potential to completely transform knowledge work and it’s why we’ve invested in these areas to create solutions that enhance our users productivity. Understanding that traditional job families like Machine Learning Engineer and Data Scientist don't fully capture the breadth of skills needed, we have refined our hiring strategy to create a more inclusive job family called Applied Science. This move allows us to cast a wider net in our search for talent, tapping into diverse skill sets, and in alignment with our commitment to innovation. Whether you excel in scientific research services, experimental design, applied mathematics, or scientific modeling, we encourage you to check out our open roles! Staff Applied Scientist (US) - https://lnkd.in/eRTR6k2f Staff Applied Scientist (Cananda)- https://lnkd.in/eKarBbDV #hiring #LifeInisideDropbox #AppliedScience

Position yourself as a top SDE candidate to Amazon, Google and more! These technical competencies are key in the world of tech. Complex Problem solving: Top tech firms love candidates who can navigate non-linear Data Structures like Trees and graphs. Performance Excellence: Demonstrating skills like using trees and graphs to optimize critical operations like searching, insertion, and operations showcases your value. Real-World Impact: Companies admire engineers who can bridge theory and practice. Algorithmic Prowess: Non-linear DSA sharpens your algorithmic thinking. It's about grasping the core principles and creatively applying them to solve complex challenges. Versatile Industry Relevance: From Binary Trees in databases to Graphs in network analysis and Red-Black Trees in file systems, these structures have universal applications in various industries. I want to thank HeyCoach for providing us with this invaluable document that talks about Non-Linear Data Structures to better equip us to crack the code and get into top product based companies. You can also expect a 300% salary hike if you do sign up for the program that HeyCoach provides. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚t it 𝐨𝐟𝐟𝐞𝐫𝐬: ✅Structured curriculum to master DSA & System Design ✅Live classes by current MAANG professionals ✅Mock interviews, Resume reviews, and Referrals Sign up to crack your next coding interviews: https://bit.ly/48ghteW 💰 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐂𝐓𝐂 - 98 𝐋𝐏𝐀 | Average CTC - 27 LPA #Tech #DSA #NonLinearDS #InterviewPreparation #JobSeekers #SoftwareDeveloper