diff --git a/Problem1.cs b/Problem1.cs
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--- /dev/null
+++ b/Problem1.cs
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+// Time Complexity : O(1)
+// Space Complexity : O(n)
+// Did this code successfully run on Leetcode : Yes
+// Any problem you faced while coding this : No
+
+
+// Your code here along with comments explaining your approach
+
+// Since the total number of keys can be up to 10^6, I am using an array of arrays of boolean type with the primary array being of size 1000
+// and the secondary array being of size 1000. I am following the double hashing based approach so that we can perform Add, Contains and Remove
+// in O(1) time complexity.
+
+public class MyHashSet
+{
+
+    private bool[][] buckets;
+    private int bucketSize;
+    private int bucketCount;
+
+    public MyHashSet()
+    {
+        bucketSize = 1000;
+        bucketCount = 1000;
+        buckets = new bool[bucketCount][];
+    }
+
+    private int HashFunction1(int key)
+    {
+        return key % bucketCount;
+    }
+
+    private int HashFunction2(int key)
+    {
+        return key / bucketSize;
+    }
+
+    public void Add(int key)
+    {
+        int hash1 = HashFunction1(key);
+
+        if (buckets[hash1] == null)
+        {
+            if (hash1 == 0)
+            {
+                buckets[hash1] = new bool[bucketSize + 1];
+            }
+
+            else
+            {
+                buckets[hash1] = new bool[bucketSize];
+            }
+        }
+
+        int hash2 = HashFunction2(key);
+
+        buckets[hash1][hash2] = true;
+    }
+
+    public void Remove(int key)
+    {
+        int hash1 = HashFunction1(key);
+
+        if (buckets[hash1] != null)
+        {
+            int hash2 = HashFunction2(key);
+
+            buckets[hash1][hash2] = false;
+        }
+    }
+
+    public bool Contains(int key)
+    {
+        int hash1 = HashFunction1(key);
+        int hash2 = HashFunction2(key);
+
+        return buckets[hash1] != null && buckets[hash1][hash2];
+    }
+}
+
+/**
+ * Your MyHashSet object will be instantiated and called as such:
+ * MyHashSet obj = new MyHashSet();
+ * obj.Add(key);
+ * obj.Remove(key);
+ * bool param_3 = obj.Contains(key);
+ */
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diff --git a/Problem2.cs b/Problem2.cs
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--- /dev/null
+++ b/Problem2.cs
@@ -0,0 +1,70 @@
+// Time Complexity : O(n)
+// Space Complexity : O(n)
+// Did this code successfully run on Leetcode : Yes
+// Any problem you faced while coding this : No
+
+
+// Your code here along with comments explaining your approach
+/*
+I have initialized a stack of integer arrays and store each element along with the corresponding minimum element in the stack so far
+for that particular element. Before I push each value and minimum pair, I check if the current value is less than the minimum element so 
+far. If yes, I update the minimum element with the value. Similarly while popping, I check if the popped value is the minimum element, if yes
+I update the minimum value with the minimum value corresponding with the top element or Int32.MaxValue if the stack is empty.
+*/
+
+public class MinStack
+{
+    Stack<int[]> minStack;
+    int minimumSoFar;
+
+    public MinStack()
+    {
+        minStack = new();
+        minimumSoFar = Int32.MaxValue;
+    }
+
+    public void Push(int val)
+    {
+        if (val < minimumSoFar)
+        {
+            minimumSoFar = val;
+        }
+
+        minStack.Push(new int[] { val, minimumSoFar });
+    }
+
+    public void Pop()
+    {
+        if (minimumSoFar == minStack.Pop()[0])
+        {
+            if (minStack.Count != 0)
+            {
+                minimumSoFar = GetMin();
+            }
+
+            else
+            {
+                minimumSoFar = Int32.MaxValue;
+            }
+        }
+    }
+
+    public int Top()
+    {
+        return minStack.Peek()[0];
+    }
+
+    public int GetMin()
+    {
+        return minStack.Peek()[1];
+    }
+}
+
+/**
+ * Your MinStack object will be instantiated and called as such:
+ * MinStack obj = new MinStack();
+ * obj.Push(val);
+ * obj.Pop();
+ * int param_3 = obj.Top();
+ * int param_4 = obj.GetMin();
+ */
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