#import "@preview/cetz:0.4.0": canvas, draw #import "@preview/cades:0.3.1": qr-code #import "@preview/zebra:0.1.0": datamatrix, qrcode #import "@preview/grayness:0.5.0": image-grayscale #let FeatureColor = rgb("292929") #let BackgroundColor = rgb("#fcfcfc") #let font = { "Helvetica" } #let titlefont = { "Libre Caslon Text" } #set text(font: font) #let section2(body) = { v(15pt) grid( columns: (1fr, auto, 1fr), column-gutter: 5pt, [#v(5pt) #line(length: 100%)], [#text(size: 16pt, body)],[#v(5pt) #line(length: 100%)] ) } #let blob(inverse: false, body) = { set text(size: 10pt) if inverse { box(stroke: (FeatureColor +1pt), radius: 8pt, outset: (top:4pt, bottom: 4pt))[#h(4pt) #text(body) #h(4pt)] } else { box(fill: FeatureColor, radius: 8pt, outset: (top:4pt, bottom: 4pt))[#h(4pt) #text(fill: white,body) #h(4pt)] } } #let section3(body) = { v(0.8cm) text(size:16pt, weight: "extralight", font: titlefont)[#body] } #show heading: set text( size: 18pt, weight: "extralight", ) #let progress(Number)= { rect(width: 100%, height: 8pt, stroke: FeatureColor, fill: FeatureColor, inset: 0pt)[ #align(end)[#rect(width: (1%*(100-Number)), height: 8pt, fill: BackgroundColor)] ] } // REAL #set page( paper: "a4", margin: ( top: 0cm, bottom: 0cm, x: 0cm, ), fill: BackgroundColor ) #grid( columns: (1fr, 8cm), column-gutter: 10pt, inset: (left:0.5cm), [ #v(0.5cm) #stack( spacing: 8pt, [#text(size: 82pt, weight: 500, font: titlefont)[#align(start)[Samantha]]], [#text(size: 41pt, weight: 500, font: titlefont)[#align(start)[Vero Friis]]] ) #set text(size: 12pt) #section3[Summary]\ Finance and business student with a genuine interest in how companies work and why some don't. I spend time outside of university doing my own equity research, building small automation tools, and getting unreasonably invested in optimizing things that probably didn't need optimizing. I enjoy finding inefficiencies, whether in a balance sheet or a workflow, and figuring out a cleaner way through them. Looking for an analyst or finance-adjacent role where I can contribute while I study. #grid( columns: (75pt, 1fr), [ #align(center)[ #v(20pt) #circle(width: 20pt)[ #place(center + horizon)[ #image("Assets/candlestick-chart.svg", width: 15pt, height: 15pt) ] #line(angle: 90deg, start: (0pt, 12pt), end: (0pt, 164pt)) ] #v(137pt) #circle(width: 20pt)[ #place(center + horizon)[ #image("Assets/git.svg", width: 15pt, height: 15pt) ] #line(angle: 90deg, start: (0pt, 12pt), end: (0pt, 152pt)) ] #v(125pt) #circle(width: 20pt)[ #place(center + horizon)[ #image("Assets/graduation-cap.svg", width: 15pt, height: 15pt) ] #line(angle: 90deg, start: (0pt, 12pt), end: (0pt, 32pt)) #line(angle: 90deg, start: (0pt, 1pt), end: (0pt, 53pt)) #line(angle: 90deg, start: (0pt, 0pt), end: (0pt, 100pt)) ] #v(10pt) #blob(inverse: true)[2025--Today] #v(48pt) #blob(inverse: true)[2020--2023] ] ], [ #section3[Independent Equity Research]\ I analyse publicly listed companies using SEC filings, earnings reports, and whatever data I can get my hands on. I look at profitability, liquidity, and long-term sustainability. When information is sparse or inconsistent, I cross-validate across sources until the picture gets clearer. There is something satisfying about turning a messy 10-K into a clean set of conclusions. #section3[Technical Tools & Automation]\ I build small tools to cut out repetitive work, mostly in Python for data processing and validation, and Go for lightweight backend services where speed matters. I have a tendency to keep refining things past the point of necessity, which means what starts as a quick script usually ends up well-documented and slightly over-engineered. Practical, but built with care. #section3[Education History]\ #v(0.5cm) Bachelor of Economics & Business Administration (HA)\ Aalborg University, In progress (Expected 2028) #v(0.5cm) HTX - Technical Upper Secondary Education \ Viden Gymnasier \ Study focus: Mathematics A, Biology B \ Study project: Mathematics & Technology ] ) ], [ #block(width: 100%, height: 100%,inset: 0.5cm)[ #grid( columns: (1fr, 1fr), [CV], [#align(end)[English]] ) #block(height: 9cm, width: 100%)[ #let imagshadowsize = 0.25cm #place(right + bottom)[#block(fill: FeatureColor, width: 100% - imagshadowsize, height: 100%-imagshadowsize)] #place(left + top)[ #let data = read("Assets/profile.png", encoding: none) #image-grayscale(data, width: 100% - imagshadowsize, height: 100%-imagshadowsize) ] ] #section2[Contact] #set align(end) #set image(width: 14pt) #grid( columns: (auto, 1fr), row-gutter: 2pt, [#align(start)[#v(2pt) #image("Assets/map-pin.svg")]], [#v(5pt) Denmark, Aalborg], [#align(start)[#v(2pt) #image("Assets/at-sign.svg")]], [#v(5pt) me@\samantha42.xyz], [#align(start)[#v(2pt) #image("Assets/www.svg")]], [#v(5pt) #link("samantha42.xyz")], [#align(start)[#v(2pt) #image("Assets/repository.svg")]], [#v(5pt) #link("git.samantha42.xyz")] ) #set align(start) #section2[Application Skills] #grid( columns: (1fr, 1fr), row-gutter: 10pt, [Excel], [#progress(82)], [Python], [#progress(73)], [SQL], [#progress(55)], [Go], [#progress(90)], [Git], [#progress(40)] ) #section2[Interests] #stack( spacing: 10pt, [#blob[Cinema] #blob(inverse: true)[TV Shows] #blob[Economics] #h(1fr)], [#blob(inverse: true)[Gaming] #blob[Board Games] #blob(inverse: true)[Design] #h(1fr)], [#blob[Financial Markets] #blob(inverse: true)[Investing] #h(1fr)], [#blob(inverse: true)[Programming] #blob[Open Source] #blob(inverse: true)[Tech] #h(1fr)], ) #section2[Languages] #grid( columns: (1fr, 1fr), row-gutter: 10pt, [Danish], [#progress(95)], [English], [#progress(80)] ) #v(12pt) #grid( columns: (1fr, 1fr), [#align(start)[ #block(width: 60pt)[ #stack(spacing: 5pt)[ #align(center)[#text(size: 10pt)[Website]] ][ #qr-code(error-correction: "H", "samantha42.xyz", color: FeatureColor, width: 60pt) ]]]], [#align(end)[ #block(width: 60pt)[ #stack(spacing: 5pt)[ #align(center)[#text(size: 10pt)[Repository]] ][ #qr-code(error-correction: "H", "git.samantha42.xyz", color: FeatureColor, width: 60pt) ]]]], ) ] ] )