PLSQL: compressing dataset using partition

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SQL

Oracle

I have an interesting problem that I am struggling with resolving

Multi row dataset that needs to be combined to produce a start and end times.

Below is sample data with expected results. Any help will be greatly appreciated

Raw Data

Plan ID		OTHER_TIME			TEAM_NO	NAME	INSTANT
30686834	4/23/2021 16:00		159		Add		4/20/21 6:49 AM
30686834	4/23/2021 16:00		159		Add		4/20/21 2:03 PM
30686834	4/23/2021 16:00		159		Add		4/20/21 2:03 PM
30686834	4/23/2021 16:00		160		Add		/20/21 5:15 PM
30686834	4/23/2021 16:00		160		Remove	4/21/21 7:33 AM
30686834	4/23/2021 16:00		160		Add		4/21/21 7:34 AM
30686834	4/23/2021 16:00		160		Remove	4/21/21 7:34 AM
30778380	5/15/2022 5:22		16		Add		5/10/22 5:22 AM
30778380	5/15/2022 5:22		16		Add		5/10/22 5:23 AM
30698999	7/30/2021 13:35		41		Add		7/18/21 8:29 AM
30698999	7/30/2021 13:35		41		Add		7/19/21 9:18 AM
30698999	7/30/2021 13:35		41		Remove	7/22/21 8:40 AM
30698999	7/30/2021 13:35		158		Add		6/5/21 11:59 AM
30698999	7/30/2021 13:35		158		Remove	6/5/21 12:28 PM
30698999	7/30/2021 13:35		159		Add		6/11/21 7:31 PM
30698999	7/30/2021 13:35		162		Add		6/5/21 12:54 PM
30698999	7/30/2021 13:35		162		Remove	6/11/21 7:31 PM

Rules:
Add Instant = Start Time
Remove Instant = End Time

Use first "Add" instant as start if multiple Add is listed for a plan id and team number. Ignore the susequent Adds
If no remove is listed for a plan id and team number then use the first Add instant as start time and Other Time as end time
A plan id and team number can have multiple adds and multiple removes

Expected Results:

Plan ID 	TEAM_NO 	START_TIME 				END_TIME
30686834 	159 		4/20/21 6:49 AM 	4/23/21 4:00 PM
30686834	160 		4/20/21 5:15 PM 	4/21/21 7:33 AM
30686834 	160 		4/21/21 7:34 AM 	4/21/21 7:34 AM
30778380 	16 			5/10/22 5:22 AM 	5/15/2022 5:22
30698999 	41 			7/18/21 8:29 AM 	7/22/21 8:40 AM
30698999 	158 		6/5/21 11:59 AM 	6/5/21 12:28 PM
30698999 	159 		6/11/21 7:31 PM 	7/30/2021 13:35
30698999 	162 		6/5/21 12:54 PM 	6/11/21 7:31 PM

What I have tried:

Tried multiple partitioning with Add and Remove but I just can't get the desired results. Also tried lead/lag but given there can be n number of Add and n number of Remove it is not feasible to use these functions