diff --git a/python/dataload.ipynb b/python/dataload.ipynb
index 689b71d..0b7a3a3 100644
--- a/python/dataload.ipynb
+++ b/python/dataload.ipynb
@@ -201,8 +201,7 @@
     "    return f'{normalizar(nome_email)}_{gerar_valor_aleatorio(4)}@{choice(provedores_email)}'\n",
     "\n",
     "def gerar_telefone() -> str:\n",
-    "    return f'{choice(ddds)}9{randint(1000, 9999)}{randint(1000,9999)}'\n",
-    "\n"
+    "    return f'{choice(ddds)}9{randint(1000, 9999)}{randint(1000,9999)}'"
    ]
   },
   {
@@ -385,10 +384,13 @@
     "gestor_ciclo = pd.DataFrame(dados_colaborador).groupby('id_empresa').first().reset_index()\n",
     "\n",
     "for _, gestor in gestor_ciclo.iterrows():\n",
-    "    qtd_ciclos = QTD_CICLOS_FIXOS if gestor['id_empresa'] in [1, 2, 3] else randint(QTD_CICLOS_MIN, QTD_CICLOS_MAX)\n",
+    "    if gestor['id_empresa'] in [1, 2, 3]:\n",
+    "        status_por_ciclo = status_ciclo\n",
+    "    else:\n",
+    "        qtd_ciclos = randint(QTD_CICLOS_MIN, QTD_CICLOS_MAX)\n",
+    "        status_por_ciclo = [choices(status_ciclo, weights=[25, 25, 25, 20, 3, 1, 1], k=1)[0] for _ in range(qtd_ciclos)]\n",
     "\n",
-    "    for _ in range(qtd_ciclos):\n",
-    "        status = choices(status_ciclo, weights=[25, 25, 25, 20, 3, 1, 1], k=1)[0]\n",
+    "    for status in status_por_ciclo:\n",
     "        dados_ciclo.append({\n",
     "            'id_empresa': gestor['id_empresa'],\n",
     "            'id_responsavel': gestor['id_usuario'],\n",