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Important notes: I cannot refer you if the application is already submitted. Please only attach the Job Ids for which the application is not submitted. I won’t offer a direct referral. Instead, I’ll carefully review your LinkedIn profile, evaluate your resume, and potentially schedule a call or meeting. If I determine your qualifications align with the job opening, I’ll proceed with the referral. Additionally, I’m happy to provide guidance on overcoming any obstacles and addressing any shortcomings in your profile.

Please note: I won’t offer a direct referral. Instead, I’ll carefully review your LinkedIn profile, evaluate your resume, and potentially schedule a call or meeting. If I determine your qualifications align with the job opening, I’ll proceed with the referral. Additionally, I’m happy to provide guidance on overcoming any obstacles and addressing any shortcomings in your profile.

Please note: I won’t offer a direct referral. Instead, I’ll carefully review your LinkedIn profile, evaluate your resume, and potentially schedule a call or meeting. If I determine your qualifications align with the job opening, I’ll proceed with the referral. Additionally, I’m happy to provide guidance on overcoming any obstacles and addressing any shortcomings in your profile. And please, don’t pay

A seamless doctor appointment booking app built with React Native for a smooth mobile experience. Patients can easily book appointments, consult doctors via voice calls (WebRTC), receive real-time updates (WebSocket), and manage their health records efficiently. The app ensures a fast and responsive UI with state management using Redux Toolkit and data fetching with React Query. The backend, powered by Spring Boot, handles authentication, scheduling, and secure data management. Tech Stack: Frontend: React Native, Redux Toolkit, React Query, Axios, React Native Navigation Backend: Java, Spring Boot Real-time Communication: WebRTC, WebSocket For Google SignIn, please update your Info.plist file and add the GoogleServices json.

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Want to get on a 1-on1 call with me and have a brief discussion about what I do, how I can help you or talk about anything under the umbrella of career guidance? Book a call with me and I'll see you inside. The only reason to keep a nominal charge is to let me have a chance to speak with people who genuinely want to connect.

Curious about product, fintech, or early career advice? I’d love to share my journey and answer any questions you have regarding - How to scout high-quality product roles Resume and Portfolio best practices Interview preparation for product roles

COHORT 2 : "Anybody Can Do Math – A Primer for Quantitative Finance, Data Science & Machine Learning This Course is designed for individuals looking to break into Quantitative Finance, Data Science, and Machine Learning, regardless of their academic background. If you're from a Non-STEM field and want to build a strong foundation in the essential mathematical concepts used in finance, this session is for you. It is particularly beneficial for professionals and students pursuing CFA, FRM, CQF, and CAIA who wish to strengthen their quantitative skills for trading, risk management, and financial modeling. Whether you're a finance enthusiast, an investment professional, or someone transitioning into quantitative roles, this primer will help you get started with confidence. Course Start Date - 2nd August 2025 Course End date - 28th September 2025 Classes will be conducted on Weekends - Saturday and Sunday Total Hours - 50 hours Accessible via our custom Web + Mobile App with lifetime access to: Recorded lectures Annotated notes Course Syllabus Elementary Mathematics: Topics such as inequalities, polynomials, basic statistics (mean, median, mode, variance, etc.), exponents and logarithms, sequences and series, and an introduction to matrices and determinants. Pre-Calculus: Focuses on set theory, relations and functions, complex numbers, and limits. Calculus: Covers differentiation (including rules and applications), partial differentiation, continuity and differentiability, series expansions (Maclaurin and Taylor series), integration techniques (definite and indefinite integrals), Fourier series, advanced integrals, and differential equations. Linear Algebra: Deals with vector spaces, linear transformations, diagonalization, eigenvalues and eigenvectors, matrix decompositions (such as LU, SVD, and Cholesky), inner products, orthogonalization methods, and other related topics. Statistics and Probability: Includes descriptive statistics (measures of central tendency, dispersion, etc.), probability theory (including conditional probability, Bayes’ theorem, and the law of large numbers), random variables and probability distributions, inferential statistics (estimation, hypothesis testing, ANOVA), regression and correlation, and Bayesian statistics. Course Instructor - Dr. Nisha Godani, Assistant Professor at Medicaps University, Indore. She has done a PhD in Mathematics from Dayalbagh Educational Institute (Deemed University), Agra on the topic "A study of Non-Manifold topologies on Lorentz Manifolds". She has qualified NET and GATE examinations with All India rank 40 and 90 respectively. She has been awarded various awards such as the Best Teacher award, Best Researcher award, Excellent Classroom Teaching Award and Chancellor Award by GLA University, Mathura where she worked as an Assistant Professor for 6.5 years. She has attended various workshops and presented research papers at many conferences. She has organized a one-day workshop on Matlab and R programming and delivered lectures in FDPs. She has published 50 research papers on non-manifold topologies and wormholes in various reputed journals She has more than 8 years of teaching experience. She is guiding one PhD scholar under my supervision. Course Coordinator - Parth Bhanushali Parth Bhanushali holds the Certificate in Quantitative Finance (CQF) and has a strong foundation in both traditional and quantitative finance. A commerce graduate, he has also completed two levels of the CFA program. While initially focused on conventional financial principles, his curiosity about the mathematical and algorithmic aspects of portfolio management and risk mitigation led him to pursue the CQF. Through this program, he developed a deep understanding of mathematical and computational techniques in finance. Since then, Parth has been continuously delving into advanced concepts in risk management, financial engineering, and quantitative modeling, further expanding his expertise in the field of quantitative finance. For any query reach out at Email - Phone Number - 8349489231

Hey there! Feeling overwhelmed by choices and what to do next? I’ve been there, and I'm here to help you navigate your journey. In our 1:1 mentorship sessions, we’ll dive into your goals, explore exciting career paths, and break down competitive exams in a way that makes sense. With real, actionable advice tailored to you, let’s work together to turn your ambitions into achievements. PS: Our connection won’t be limited to this short call. We will ofcourse remain in touch :)

This is the compilation of 500+ ML system design case studies, written and published by 100+ top tech firms, explaining how they solve real world problems in their businesses using state of the art ML models and techniques. Each case studies is tagged with concept and a brief description. Expect similar case studies in your ML interview rounds. I will keep adding more blogs in the same sheet. You will find: ⏵ Practical ML applications across industries ⏵ System design insights for ML & LLM pipelines ⏵ Lessons learned from building production-grade AI

If you're a Business Analyst looking to upskill in the Wealth Management space then check this guide which covers, 🔹 Deep dive into the client lifecycle: onboarding, KYC, suitability, portfolio construction, and reviews 🔹 Detailed explanation of wealth platforms, account types, and advisory models (discretionary, non-discretionary) 🔹 Full walkthroughs on client journeys with tools like journey maps, swimlanes, and personas 🔹 Real-world use cases, user stories, and business rules for everything from rebalancing to reporting 🔹 Critical knowledge on regulations like MiFID II, FATCA, CRS—turned into system requirements 🔹 Breakdown of functional vs non-functional requirements in wealth systems 🔹 Career roadmap, top skills, and certifications to stand out in the domain Whether you're working with a private bank, fintech, or asset manager, this guide will help you: 👉 Speak the language of wealth managers, RMs, and compliance officers 👉 Build smarter, compliant, client-centric systems 👉 Prepare for interviews and real projects with clarity and confidence

Let's have a brief conversation to understand your goals and determine whether coaching together is the right fit. My coaching sessions are working sessions, where we focus on strategy and practical next steps. This intro call helps us determine whether working together would be helpful for you. If we decide to move forward, you can book a working session directly on this page. I'm here to help - look forward to saying hello! Cheers, Sharon

📘Ebook Ka Name:- Power System Engineering ✍️Format : - PDF 🉑Bhasha:- Hindi (With English Text) ➡️Total Number Of Page:-56 PDF Me Topic ✅ Chapter 1 : Introduction to Power System • Power System kya hai? • Power System ke components • Power System ke Mahatva ✅ Chapter 2 : Power Generation • Thermal Power Plant • Hydro Power Plant • Nuclear Power Plant • Renewable Energy Source ✅ Chapter 3 : Power Transmission • Transmission Line • Substation • Transformer • Transmission Line parameters ✅Power Distribution • Distribution Substation • Distribution Line • Distribution Transformer • Distribution System Planing ✅ Chapter 5 : Power System Protection • Introduction to protection • Over Current Protection • Distance Protection • Differential Protection ✅ Chapter 6 :Power System Control • Introduction to Control • Voltage Control • Frequency Control • Power Factor Control ✅ Chapter 7 :Power System Operation • Power System operation ka mahatva • Load Forecasting • Unit Commitment • Economics Dispatch 👨‍🎓Target Audience* ✓Electrical engineering students ✓Professionals in electrical industry Umeed hai is Ebook se ap log kafi kuch sikhenge Is Ebook Ko padhane ke baad aap ka electrical power System ka basic Consept clear ho jayega. Aur aap electrical power System ke bare me kafi kuch sikh payenge. Dhanyawad dosto...👍 *Note Payment Karne ke baad PDF ko save kar lijiye right side me three dots pe tap karke. PDF Download nahi hone pe DM kare .

Proceed with a smile. Money is supposed to be fun and not tricky. If you’re a working professional, freelancer, creator, or someone just beginning to explore personal finance — this call is for you. A thoughtful conversation to help you take your next step with confidence.

Get shortlisted with this IIM template ATS-friendly Resume Template Pack! ✔️ Includes a professional resume, fresher resume, and an editable Word template with expert ATS tips and notes. Perfect for students, job seekers, and professionals applying to Data Analyst, Consulting or any corporate role. This package includes: Editable Resume (Word .docx) – Fully customizable with guidance notes for ATS optimization Professional Resume (PDF) – Experienced professional format ready for submission Fresher Resume (PDF) – Focused on skills, projects, and internships Bonus Guide & README – Instructions, resume tips, and important disclaimers Why choose this template pack? ATS-Friendly Ready-to-use format with pre-written sample content Suitable for both freshers and professionals Professional design that recruiters prefer

Your LinkedIn profile is your digital resume. A powerful LinkedIn profile can land you jobs, internships, freelance gigs, and even brand deals. Now recruiters don’t just check resumes; they search LinkedIn for top talent. A strong personal brand builds credibility, attracts opportunities, and makes you stand out in a sea of applicants. I’ll help you refine your profile, position yourself as an authority, and attract dream opportunities all through a 1:1 personalized call. Ready to unlock your LinkedIn potential? Let’s grow! 🔥

Facing interviews but don’t know what HRs actually ask? 😟 This session is designed to prepare you for the 70 toughest and most commonly asked interview questions – with clear, smart, and practical answers. What you’ll get in this call: ✅ Top 70 HR & Technical interview questions ✅ How to answer “Tell me about yourself” confidently ✅ Perfect response to strengths & weaknesses ✅ How to handle gap year, low CGPA, or failures ✅ Questions asked in Internship, Fresher & Experienced roles ✅ Smart techniques to sound confident under pressure Why this session? 👉 Most rejections happen because candidates don’t know how to answer tricky HR questions. After this session, you’ll be fully prepared to face interviews . Why free? 👉 Because I want every fresher and job seeker to feel confident before stepping into interviews. This is best for: 🎓 Freshers preparing for jobs/internships 💼 Candidates facing HR/Tech interview rounds 🚀 Anyone who wants to boost confidence in interview ✨ Don’t just prepare, crack your next interview with confidence – book this session today!

This is a 20 minute audio reading focused on one specific topic whether it’s love, career, life purpose, or any area you wish to explore deeply. You can ask as many questions as you want within the time limit, and all guidance will be shared live through an audio meet, offering clear, intuitive, and in-depth insights on your chosen topic

🚀 Master C# Collections — 100+ Interview-Ready Q&A Guide (PDF) Are you looking to level up your C# skills, ace technical interviews, or write faster and more efficient code? This “C# Collections — 100+ Questions & Answers” PDF is your ultimate, all-in-one resource to understand every major collection used in .NET—List, Dictionary, LinkedList, HashSet, Concurrent Collections, LINQ, and more. Whether you’re a beginner or an experienced C# developer, this guide gives you clear explanations, practical examples, and real-world scenarios to help you choose the right data structure every time. 🌟 What You’ll Get Inside ✔ 100+ hand-picked interview questions & answers ✔ Real-world examples you can apply immediately ✔ Clear, simple explanations—no fluff, no jargon ✔ Advanced insights on memory, performance, and best practices ✔ Coverage of both standard and concurrent collections ✔ Tips for thread safety, Big-O performance, and architecture decisions This is not just another theory-heavy PDF—it's a practical guide designed for developers who want to write clean, efficient, and production-ready C# code. 🔥 Why This Guide Matters Collections power almost everything inside a C# application. A deep understanding helps you: 💨 Build high-performance applications 🧠 Solve problems using the best data structure 🎯 Stand out in technical interviews 💡 Make better architectural decisions ⚙️ Write safer and more maintainable code If you’ve ever wondered: When should I use a LinkedList instead of a List? How does ConcurrentQueue differ from Queue? Which collection gives the best performance for lookups? How do I make collections thread-safe? …this guide will give you clear, confident answers. 👨‍💻 Who This PDF Is Perfect For ✔ C# developers preparing for technical interviews ✔ .NET engineers wanting to strengthen collection fundamentals ✔ Professionals who want cleaner, faster, more scalable code ✔ Students or career switchers learning advanced C# concepts 💡 Pro Tip Try the examples in your own projects—the fastest way to master collections is through hands-on practice. ☕ Support & Learn If this guide helps you learn faster or improve your coding skills, consider supporting my work by buying the full C# Collections 100+ Q&A PDF. Your support helps me create more practical, developer-focused learning resources ❤️ 🔗 Stay Connected Follow me for more C#, .NET, and clean-code learning resources: LinkedIn: https://www.linkedin.com/in/sandeeppal

💥 110+ Essential SQL Queries — Beginner to Advanced 🚀 ☕ Master SQL through real-world problems — not textbook theory! I’ve created a complete SQL Q&A series with 110 real-world queries that take you from beginner to advanced step by step. No boring drills, no fake “student” databases — just practical, hands-on learning. 💻 What You’ll Get Beautifully designed PDF carousel with visual breakdowns: Beginner (💻) → SELECT, WHERE, ORDER BY — build your foundation Intermediate (⚙️) → JOINS, GROUP BY, HAVING, Subqueries — think like a data analyst Advanced (🧠) → Window Functions, RANK(), PIVOT, CUBE, Analytics — master insights that impress in interviews & dashboards 📊 Real-World Scenarios ✅ Top 3 highest-paid employees per department ✅ Employees earning above department median ✅ Year-over-year salary growth ✅ % contribution of each employee to department total ✅ Employees hired on leap day 😄 💡 Why This Series Matters Write interview-ready queries confidently Understand every SQL keyword deeply Build dashboards and actionable insights from scratch ☕ Support & Learn If this helps you learn faster, land that data job, or finally “get” SQL, buy me a coffee ☕! Your support fuels more practical, real-world learning resources ❤️ LinkedIn: https://www.linkedin.com/in/sandeeppal

MSME Income Assessment Toolkit for Credit Managers Present your business income assessment and PD/CAM notes like a top-class underwriter—every single time! This all-in-one toolkit delivers over 50+ ready-to-use MSME case templates, each pre-filled with realistic income, expenses, and employment details covering every major Indian business segment (retail, service, trade, manufacturing). No more blank sheets or guesswork—get instant access to field-proven formats for tent house, hardware, tuition, food vendor, plumber, shopkeeper, and dozens more. Why is this toolkit a game-changer for credit managers? Every sheet includes EMPLOYMENT details: Staff numbers, wage patterns, and real labor inputs, not just profit figures. Maximum 7 grouped expense heads: Standardized, senior-friendly, and audit-proof. Builds confidence for new and experienced managers: Never fumble in a branch presentation, interview, or credit committee. Streamlines your entire workflow: Editable and WhatsApp-ready Excel sheets—copy, tweak, and present at your branch or in the field. Field-tested, real-life data: Not just theory—practical numbers used by hundreds of successful underwriters. Whether you're a new joiner, a junior officer, or preparing for your first credit/audit meeting—this toolkit gives you the edge to stand out and make faster, sharper, and more professional income assessments. Ready to impress your boss and crack more loans? → Click ‘Get Toolkit’ now and transform your credit underwriting! (Packed with value for every lender, branch, and credit team. Trusted by hundreds—join the smart credit managers building their success the practical way!)

Every serious Data Engineering interview eventually reaches the same point — “Let’s walk through your data model.” And this is where most candidates fail. Not because they don’t know star schemas. Not because they can’t draw a diagram. But because Big companies evaluate your reasoning, not your diagrams. They want to see if you can think through ambiguity, define grain with precision, handle SCD history correctly, model identity resolution across messy systems, and design tables that survive real-world scale, schema drift, late data, and business chaos. After giving countless interviews myself, and sitting on the other side evaluating candidates, I realized something very clear: 👉 Data Modelling is the make-or-break round for any Data Engineer. If you can’t model clearly, you can’t communicate clearly and no top company overlooks that. This guide was built after tons of interviews, researching, and breaking down exactly how Big teams judge modelling maturity. It teaches you the thinking, not the memorization. You’ll learn how to structure your answers the way senior engineers do in design reviews: strong business clarity, precise grain decisions, SCD reasoning under constraints, identity resolution modelling, event schema design, and scale-aware warehousing choices. You’ll also find advanced modelling theory that big companies explicitly test: event modelling, customer 360, temporal correctness, point-in-time joins, data contracts, and constraints in modern warehouses all covered in depth. If you want one resource that actually prepares you for real modelling rounds — the ones that decide whether you move to the onsite loop or get filtered out — this is that resource. This guide is designed to get you ready for FAANG-level data modelling interviews, not just basic BI conversations.