diff --git a/src/synnax_shared/data_processing/scaler/PredefinedMinMaxScaler b/src/synnax_shared/data_processing/scaler/PredefinedMinMaxScaler
new file mode 100644
index 0000000..e9cdc92
--- /dev/null
+++ b/src/synnax_shared/data_processing/scaler/PredefinedMinMaxScaler
@@ -0,0 +1,29 @@
+import pandas as pd
+
+class PredefinedMinMaxScaler:
+    '''Scaler that scales data to the user defined range [min_val, max_val]'''
+    def __init__(self, min_val: float, max_val: float) -> None:
+        self.min_val = min_val
+        self.max_val = max_val
+
+    def scale_column(
+        self, column: pd.Series, min_val: float, max_val: float
+    ) -> pd.Series:
+        return (column - min_val) / (max_val - min_val)
+
+    def unscale_column(
+        self, column: pd.Series, min_val: float, max_val: float
+    ) -> pd.Series:
+        return column * (max_val - min_val) + min_val
+
+    def transform(self, data: pd.DataFrame) -> pd.DataFrame:
+        data = data.copy()
+        for column in data.select_dtypes(include=[np.number]):
+            data[column] = self.scale_column(data[column], self.min_val, self.max_val)
+        return data
+
+    def inverse_transform(self, data: pd.DataFrame) -> pd.DataFrame:
+        data = data.copy()
+        for column in data.select_dtypes(include=[np.number]):
+            data[column] = self.unscale_column(data[column], self.min_val, self.max_val)
+        return data
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