For natural deduction. how do i go about picking how to start off my proof and is there any rules as to how i have to start off my proof. Do i have to individually prove each premise as that's not what the example below does.
${\color{red}{\text{Given $\color{blue}{\lnot A\lor B}$ and $\color{blue}A$, how do we derive $\color{blue}B$?}}\\\text{Here is a proof:}\\\qquad\dfrac{\lower{1.5ex}{\lnot A\lor B}\quad\dfrac{\dfrac{\dfrac{A\quad[\lnot A]^1}{\bot}{\small\lnot E}}{B}{\small\bot E}}{\lnot A\to B}{\small{\to}I^1}\quad\dfrac{[B]^2}{B\to B}{\small{\to}E^2}}{B}{\small\vee E}}\\~\\\therefore \lnot A\vee B, A\vdash B$

I don't know there's a single mechanic procedure for your general proof search question which is the holy grail of automated theorem proving. Natural deduction was originally outlined by Gentzen in 1935 and it's really close to our natural reasoning. But one of its drawback is the non-local nature of its proofs because usually the premise is far away from its conclusion like in your above tree (you don't need to prove any premise but they may not be immediately above your conclusion especially those discharged premises) or in Fitch style nested subproof branches, and you also need to skillfully introduce and discharge temporary premises like $\lnot A, B$ in your example. As a human we generally search proof from conclusion and sometimes deduce from premises and see if somehow they meet in between, and most times it easily works since most problems are man-made and not that hard by design. However, such heuristics is not guaranteed to always work regardless you're using natural deduction, Hilbert system or sequent calculi with cut elimination, thus prompts further research in category theory and type theory. Currently we're mainly analyzing and searching proof on a case by case basis when proving things manually. Maybe the easiest method for your example proof is turn your premise $\lnot A \lor B$ to a Horn clause $A \to B$ per the definition of material conditional logical connective, then together with another premise $A$ you just need one step of inference (modus ponens, $\to E$) to arrive at your desired conclusion $B$.
In automated proof search industry there're many different algos for different decidable problems such as the notorious SAT problem:
And in practice the most popular and efficient proof search inference rule of first order logic is resolution:
For your example problem, if you try to use resolution to prove $(\lnot A \lor B) \land A \to B$, then you only need to prove the unsatisfiability of the CNF formula $(\lnot A \lor B) \land A \land \lnot B$ from truth table of the material conditional connective and clearly the 3 conjunct clauses easily resolved to empty {} and thus proves your original result.