TypeError: Cannot convert numpy.ndarray to numpy.ndarray

I'm not sure why but after getting a new install of windows and a new pycharm install I am having issues with running some previously functional code. I am now getting the above error with the code below. Is it a setup issue or has something changed that now makes this code not function? Error happens on the last line. The error doesn't make sense to me as there should be no conversion required for ndarray to ndarray.

import numpy as np
import pyodbc
import pandas as pd
import sqlalchemy as SQL
import torch
import datetime

# Setup your SQL connection
server = [hidden for security]
database = [hidden for security]
username = [hidden for security]
password = [hidden for security]
# This is using the pyodbc connection
cnxn = pyodbc.connect(
    'DRIVER={SQL Server};SERVER=' + server + ';DATABASE=' + database + ';UID=' + username + ';PWD=' + password)
cursor = cnxn.cursor()
# This is using the SQLAlchemy connection
engine_str = SQL.URL.create(
    drivername="mssql+pyodbc",
    username=username,
    password=password,
    host=server,
    port=1433,
    database=database,
    query={
        "driver": "ODBC Driver 17 for SQL Server",
        "TrustServerCertificate": "no",
        "Connection Timeout": "30",
        "Encrypt": "yes",
    },
)
engine = SQL.create_engine(engine_str)

storeemployee = []
regionalemployee = []
regionid = []
storeid = []

# get table from dev
with engine.connect() as connection:
    result = connection.execute(SQL.text("SELECT StoreId, R_Num, RegionalMerchandiserEmployeeId, StoreMerchandiserEmployeeId from Staging.StoreMerchandiserInput"))
    for row in result:
        # set your variables = to the results
        storeemployee.append(row.StoreMerchandiserEmployeeId)
        regionalemployee.append(row.RegionalMerchandiserEmployeeId)
        regionid.append(row.R_Num)
        storeid.append(row.StoreId)
storeemployee = np.array(storeemployee)
regionalemployee = np.array(regionalemployee)
regionid = np.array(regionid)
storeid = np.array(storeid)

# StoreMerchandiserEmail
data = {'StoreMerchandiserEmployeeId': storeemployee, 'RegionalMerchandiserEmployeeId': regionalemployee,
        "R_Num": regionid, "StoreId":storeid}
FinalData = pd.DataFrame(data, columns=['StoreMerchandiserEmployeeId', 'RegionalMerchandiserEmployeeId', 'R_Num', 'StoreId'])

Edit - Full Error Messaging:

Traceback (most recent call last):
  File "C:\Users\Carter.Lowe\Documents\Python Files\Data Import 2.py", line 56, in <module>
    FinalData = pd.DataFrame(data, columns=['StoreMerchandiserEmployeeId', 'RegionalMerchandiserEmployeeId', 'R_Num', 'StoreId'])
                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\frame.py", line 778, in __init__
    mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\internals\construction.py", line 443, in dict_to_mgr
    arrays = Series(data, index=columns, dtype=object)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\series.py", line 490, in __init__
    index = ensure_index(index)
            ^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\base.py", line 7647, in ensure_index
    return Index(index_like, copy=copy, tupleize_cols=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\indexes\base.py", line 565, in __new__
    arr = sanitize_array(data, None, dtype=dtype, copy=copy)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\construction.py", line 654, in sanitize_array
    subarr = maybe_convert_platform(data)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\Carter.Lowe\AppData\Local\Programs\Python\Python312\Lib\site-packages\pandas\core\dtypes\cast.py", line 139, in maybe_convert_platform
    arr = lib.maybe_convert_objects(arr)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "lib.pyx", line 2538, in pandas._libs.lib.maybe_convert_objects
TypeError: Cannot convert numpy.ndarray to numpy.ndarray

I just had the same error today and solved it by updating numpy to 2.0.0rc2.