diff --git a/Problem 1.py b/Problem 1.py
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+++ b/Problem 1.py	
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+# Nth Highest Salary
+
+import pandas as pd
+
+def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
+    df = employee.drop_duplicates().sort_values(by='salary', ascending=False)
+    if N > len(df):
+        return pd.DataFrame({f'getNthHighestSalary({N})': [None]})
+    df = df[N - 1:N]['salary']
+    df = pd.DataFrame(df).rename(columns={'salary': f'getNthHighestSalary({N})'})
+    print(df)
+    return df
+
+data = [[1, 100], [2, 200], [3, 300]]
+employee = pd.DataFrame(data, columns=['Id', 'salary']).astype({'Id':'Int64', 'salary':'Int64'})
+nth_highest_salary(employee, N=2)
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diff --git a/Problem 2.py b/Problem 2.py
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+++ b/Problem 2.py	
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+# Second Highest Salary
+
+import pandas as pd
+
+def second_highest_salary(employee: pd.DataFrame) -> pd.DataFrame:
+    df = employee.sort_values('salary', ascending=False).drop_duplicates()
+    if len(df) < 2:
+        df = pd.DataFrame({'SecondHighestSalary': [None]})
+    else:
+        df = df.head(2).tail(1)['salary']
+        df = pd.DataFrame(df).rename(columns={'salary': 'SecondHighestSalary'})
+    print(df)
+    return df
+
+data = [[1, 100], [2, 200], [3, 300]]
+employee = pd.DataFrame(data, columns=['id', 'salary']).astype({'id':'int64', 'salary':'int64'})
+second_highest_salary(employee)
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