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Data Careers Resources & Job Updates | iamrupnath

Data Careers Resources & Job Updates | iamrupnath

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👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more

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📈 Análisis del canal de Telegram Data Careers Resources & Job Updates | iamrupnath

El canal Data Careers Resources & Job Updates | iamrupnath (@codewithrup) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 20 639 suscriptores, ocupando la posición 6 214 en la categoría Tecnologías y Aplicaciones y el puesto 19 786 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 20 639 suscriptores.

Según los últimos datos del 27 septiembre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -377, y en las últimas 24 horas de -20, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 3.94%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 1.12% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 814 visualizaciones. En el primer día suele acumular 232 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
  • Intereses temáticos: El contenido se centra en temas clave como apply, qualification, bachelor, degree, engineer.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“👉 Connect LinkedIn : https://www.linkedin.com/in/rupnath-shaw Google Search => Techcompreviews IG: @iamrupnath Perfect channel for Data Careers, Job Updates Learn Excel, SQL, Python, Tableau, Power BI, AI tools, AI tips & tricks and many more”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 28 septiembre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

20 639
Suscriptores
-2024 horas
-907 días
-37730 días
Archivo de publicaciones
📌PhonePe Recruitment Job Role: Integration Engineer Qualification: Bachelors / Masters Degree Experience: 0 - 1 years Salary: up to ₹10-16 LPA Job Location: Bengaluru ⭕️Apply link: https://techcompreviews.in/phonepe-hiring-integration-engineer/

API QUICK REFRENCE.pdf12.59 MB

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📍Qualcomm is hiring for Business Intelligence Engineer (BIE) Qualification: Bachelors / Masters Degree Experience: Fresher (0-1 yrs) Salary: up to ₹6.7 LPA Job Location: Hyderabad ✅Apply Now: https://techcompreviews.in/qualcomm-hiring-business-intelligence-engineer/

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30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover:   - Array basics, operations (insertion, deletion, searching)   - String manipulation   - Two-pointer technique, sliding window technique - Practice Problems:   - Two Sum   - Maximum Subarray   - Reverse a String   - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover:   - Singly linked list, doubly linked list, circular linked list   - Common operations (insertion, deletion, reversal) - Practice Problems:   - Reverse a Linked List   - Merge Two Sorted Lists   - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover:   - Stack operations (push, pop, top)   - Queue operations (enqueue, dequeue)   - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems:   - Valid Parentheses   - Implement Stack using Queues   - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover:   - Binary Trees, Binary Search Trees (BST)   - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems:   - Invert Binary Tree   - Validate Binary Search Tree   - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover:   - Binary heap (min-heap, max-heap)   - Heap operations (insert, delete, extract-min/max)   - Applications (heap sort, priority queues) - Practice Problems:   - Kth Largest Element in an Array   - Top K Frequent Elements   - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover:   - Hashing concept, hash functions, collision resolution (chaining, open addressing)   - Applications (caching, counting frequencies) - Practice Problems:   - Two Sum (using hash map)   - Group Anagrams   - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover:   - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort)   - Searching algorithms (binary search, linear search) - Practice Problems:   - Merge Intervals   - Search in Rotated Sorted Array   - Sort Colors   - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover:   - Basic recursion, tail recursion   - Backtracking (N-Queens, Sudoku solver) - Practice Problems:   - Permutations   - Combination Sum   - Subsets   - Word Search Day 21: Divide and Conquer - Topics to Cover:   - Basic concept, merge sort, quick sort, binary search - Practice Problems:   - Median of Two Sorted Arrays   - Pow(x, n)   - Kth Largest Element in an Array (using divide and conquer)   - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover:   - Graph representations (adjacency list, adjacency matrix)   - Traversal algorithms (DFS, BFS)   - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems:   - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover:   - Basic concept, memoization, tabulation   - Common problems (knapsack, longest common subsequence) - Practice Problems:   - Longest Increasing Subsequence   - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover:   - Bit manipulation   - Greedy algorithms   - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems:   - Single Number   - Decode Ways   - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Join for more: https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h ENJOY LEARNING 👍👍

30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews. ### Week 1: Foundations and Basic Data Structures Day 1-3: Arrays and Strings - Topics to Cover: - Array basics, operations (insertion, deletion, searching) - String manipulation - Two-pointer technique, sliding window technique - Practice Problems: - Two Sum - Maximum Subarray - Reverse a String - Longest Substring Without Repeating Characters Day 4-5: Linked Lists - Topics to Cover: - Singly linked list, doubly linked list, circular linked list - Common operations (insertion, deletion, reversal) - Practice Problems: - Reverse a Linked List - Merge Two Sorted Lists - Remove Nth Node From End of List Day 6-7: Stacks and Queues - Topics to Cover: - Stack operations (push, pop, top) - Queue operations (enqueue, dequeue) - Applications (expression evaluation, backtracking, breadth-first search) - Practice Problems: - Valid Parentheses - Implement Stack using Queues - Implement Queue using Stacks ### Week 2: Advanced Data Structures Day 8-10: Trees - Topics to Cover: - Binary Trees, Binary Search Trees (BST) - Tree traversal (preorder, inorder, postorder, level order) - Practice Problems: - Invert Binary Tree - Validate Binary Search Tree - Serialize and Deserialize Binary Tree Day 11-13: Heaps and Priority Queues - Topics to Cover: - Binary heap (min-heap, max-heap) - Heap operations (insert, delete, extract-min/max) - Applications (heap sort, priority queues) - Practice Problems: - Kth Largest Element in an Array - Top K Frequent Elements - Find Median from Data Stream Day 14: Hash Tables - Topics to Cover: - Hashing concept, hash functions, collision resolution (chaining, open addressing) - Applications (caching, counting frequencies) - Practice Problems: - Two Sum (using hash map) - Group Anagrams - Subarray Sum Equals K ### Week 3: Algorithms Day 15-17: Sorting and Searching Algorithms - Topics to Cover: - Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort) - Searching algorithms (binary search, linear search) - Practice Problems: - Merge Intervals - Search in Rotated Sorted Array - Sort Colors - Find Peak Element Day 18-20: Recursion and Backtracking - Topics to Cover: - Basic recursion, tail recursion - Backtracking (N-Queens, Sudoku solver) - Practice Problems: - Permutations - Combination Sum - Subsets - Word Search Day 21: Divide and Conquer - Topics to Cover: - Basic concept, merge sort, quick sort, binary search - Practice Problems: - Median of Two Sorted Arrays - Pow(x, n) - Kth Largest Element in an Array (using divide and conquer) - Maximum Subarray (using divide and conquer) ### Week 4: Graphs and Dynamic Programming Day 22-24: Graphs - Topics to Cover: - Graph representations (adjacency list, adjacency matrix) - Traversal algorithms (DFS, BFS) - Shortest path algorithms (Dijkstra's, Bellman-Ford) - Practice Problems: - Number of Islands Day 25-27: Dynamic Programming - Topics to Cover: - Basic concept, memoization, tabulation - Common problems (knapsack, longest common subsequence) - Practice Problems: - Longest Increasing Subsequence - Maximum Product Subarray Day 28: Advanced Topics and Miscellaneous - Topics to Cover: - Bit manipulation - Greedy algorithms - Miscellaneous problems (trie, segment tree, disjoint set) - Practice Problems: - Single Number - Decode Ways - Minimum Spanning Tree ### Week 5: Review and Mock Interviews Day 29: Review and Weakness Analysis - Activities:   - Review topics you found difficult   - Revisit problems you struggled with Day 30: Mock Interviews and Practice - Activities:   - Conduct mock interviews with a friend or use online platforms   - Focus on communication and explaining your thought process Join for more: https://whatsapp.com/channel/0029VaAVyoAEawe0EEAA4d1h ENJOY LEARNING 👍👍

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