diff --git a/NthHighestSalary.py b/NthHighestSalary.py
new file mode 100644
index 0000000..4ebf315
--- /dev/null
+++ b/NthHighestSalary.py
@@ -0,0 +1,41 @@
+#Method 1
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    unq_sal = sorted(employee['salary'].drop_duplicates(), reverse= True)
+
+    #invalid cases
+    if len(unq_sal) < N or N <= 0:
+        return pd.DataFrame({f'getNthHighestSalary({N})':[None]})
+    else:
+        nth_sal = unq_sal[N-1] # Nth highest will be calculated as N-1 since the Indexing starts at 0. Eg. 2nd hishest will be at Index 1
+    
+    # if invalid case is evaluated later, it causes Runtime Error:
+    # nth_sal will try to access an index that might not exist in unq_sal. 
+    # If N is invalid (e.g., N > len(unq_sal) or N <= 0), then: unq_sal[N-1] throws an IndexError.
+    
+    return pd.DataFrame({f'getNthHighestSalary({N})':[nth_sal]})
+
+   
+# Method 2
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    r_set = set()
+    for i in range(len(employee)):
+        sal = employee['salary'][i]
+        r_set.add(sal)
+
+    # print(r_set)
+    result = []
+    for i in r_set:
+        result.append(i)
+
+    unq_sal = sorted(result, reverse = True)
+
+    #invalid cases
+    if len(unq_sal) < N or N <= 0:
+        return pd.DataFrame({f'getNthHighestSalary({N})':[None]})
+
+    nth_sal = unq_sal[N-1] # Nth highest will be calculated as N-1 since the Indexing starts at 0. Eg. 2nd hishest will be at Index 1
+    return pd.DataFrame({f'getNthHighestSalary({N})':[nth_sal]})
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diff --git a/SecondHighestSalary.py b/SecondHighestSalary.py
new file mode 100644
index 0000000..3f130a9
--- /dev/null
+++ b/SecondHighestSalary.py
@@ -0,0 +1,11 @@
+import pandas as pd
+
+def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
+    unq_sal = sorted(employee['salary'].drop_duplicates(), reverse = True)
+    
+    #invalid cases
+    if len(unq_sal) < 2:
+        return pd.DataFrame({'SecondHighestSalary':[None]})
+
+    second_sal = unq_sal[1] # 2nd highest is at Index 1
+    return pd.DataFrame({'SecondHighestSalary':[second_sal]})
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