247 lines
7.3 KiB
Typst
247 lines
7.3 KiB
Typst
#import "preramble.typ": *
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#import "@preview/cetz:0.4.0": canvas, draw
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#import "@preview/cades:0.3.1": qr-code
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#import "@preview/zebra:0.1.0": datamatrix, qrcode
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#import "@preview/grayness:0.5.0": image-grayscale
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#let FeatureColor = rgb("292929")
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#let BackgroundColor = rgb("#fcfcfc")
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#set text(font: { "Helvetica" }, size: 11pt)
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#let titlefont = { "LibreCaslonDisplay" }
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#let section2(body) = {
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v(15pt)
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grid(
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columns: (1fr, auto, 1fr),
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column-gutter: 5pt,
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[#v(5pt) #line(length: 100%)], [#text(font: titlefont, size: 14pt, body)],[#v(5pt) #line(length: 100%)]
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)
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}
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#let blob(inverse: false, body) = {
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set text(size: 10pt)
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if inverse {
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box(stroke: (FeatureColor +1pt), radius: 8pt, outset: (top:4pt, bottom: 4pt))[#h(4pt) #text(body) #h(4pt)]
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} else {
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box(fill: FeatureColor, radius: 8pt, outset: (top:4pt, bottom: 4pt))[#h(4pt) #text(fill: white,body) #h(4pt)]
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}
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}
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#let section3(body) = {
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v(0.8cm)
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text(size:16pt, weight: "extralight",)[#body]
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}
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#show heading: set text(
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size: 18pt,
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weight: "extralight",
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)
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#let progress(Number)= {
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rect(width: 100%, height: 8pt, stroke: FeatureColor, fill: FeatureColor, inset: 0pt)[
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#align(end)[#rect(width: (1%*(100-Number)), height: 8pt, fill: BackgroundColor)]
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]
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}
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// REAL
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#set page(
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paper: "a4",
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margin: (
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top: 0cm,
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bottom: 0cm,
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x: 0cm,
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),
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fill: BackgroundColor
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)
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#grid(
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columns: (1fr, 8cm),
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column-gutter: 10pt,
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inset: (left:0.5cm),
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[
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#v(0.5cm)
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#stack(
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spacing: 8pt,
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[#text(size: 82pt, weight: 500, font: "Libre Caslon Text")[#align(start)[Samantha]]],
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[#text(size: 41pt, weight: 500, font: "Libre Caslon Text")[#align(start)[Vero Friis]]]
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)
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#set text(size: 12pt)
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#section3[Summary]\
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Finance and business student with a genuine interest in how companies
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work and why some don't. I spend time outside of university doing my
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own equity research, building small automation tools, and getting
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unreasonably invested in optimizing things that probably didn't need
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optimizing. I enjoy finding inefficiencies, whether in a balance sheet
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or a workflow, and figuring out a cleaner way through them. Looking for
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an analyst or finance-adjacent role where I can contribute while I study.
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#grid(
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columns: (75pt, 1fr),
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[
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#align(center)[
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#v(20pt)
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#circle(width: 20pt)[
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#place(center + horizon)[
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#image("Assets/candlestick-chart.svg", width: 15pt, height: 15pt)
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]
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#line(angle: 90deg, start: (0pt, 12pt), end: (0pt, 164pt))
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]
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#v(137pt)
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#circle(width: 20pt)[
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#place(center + horizon)[
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#image("Assets/git.svg", width: 15pt, height: 15pt)
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]
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#line(angle: 90deg, start: (0pt, 12pt), end: (0pt, 152pt))
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]
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#v(125pt)
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#circle(width: 20pt)[
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#place(center + horizon)[
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#image("Assets/graduation-cap.svg", width: 15pt, height: 15pt)
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]
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#line(angle: 90deg, start: (0pt, 12pt), end: (0pt, 32pt))
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#line(angle: 90deg, start: (0pt, 1pt), end: (0pt, 53pt))
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#line(angle: 90deg, start: (0pt, 0pt), end: (0pt, 100pt))
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]
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#v(10pt)
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#blob(inverse: true)[2025--Today]
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#v(48pt)
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#blob(inverse: true)[2020--2023]
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]
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],
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[
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#section3[Independent Equity Research]\
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I analyse publicly listed companies using SEC filings, earnings reports,
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and whatever data I can get my hands on. I look at profitability,
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liquidity, and long-term sustainability. When information is sparse
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or inconsistent, I cross-validate across sources until the picture gets
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clearer. There is something satisfying about turning a messy 10-K into
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a clean set of conclusions.
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#section3[Technical Tools & Automation]\
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I build small tools to cut out repetitive work, mostly in Python for
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data processing and validation, and Go for lightweight backend services
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where speed matters. I have a tendency to keep refining things past the
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point of necessity, which means what starts as a quick script usually
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ends up well-documented and slightly over-engineered. Practical, but
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built with care.
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#section3[Education History]\
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#v(0.5cm)
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Bachelor of Economics & Business Administration (HA)\
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Aalborg University, In progress (Expected 2028)
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#v(0.5cm)
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HTX - Technical Upper Secondary Education \
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Viden Gymnasier \
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Study focus: Mathematics A, Biology B \
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Study project: Mathematics & Technology
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]
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)
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],
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[
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#block(width: 100%, height: 100%,inset: 0.5cm)[
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#grid(
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columns: (1fr, 1fr),
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[CV],
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[#align(end)[English]]
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)
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#block(height: 9cm, width: 100%)[
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#let imagshadowsize = 0.25cm
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#place(right + bottom)[#block(fill: FeatureColor, width: 100% - imagshadowsize, height: 100%-imagshadowsize)]
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#place(left + top)[
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#let data = read("Assets/profile.png", encoding: none)
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#image-grayscale(data, width: 100% - imagshadowsize, height: 100%-imagshadowsize)
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]
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]
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#section2[Contact]
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#set align(end)
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#set image(width: 14pt)
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#grid(
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columns: (auto, 1fr),
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row-gutter: 2pt,
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[#align(start)[#v(2pt) #image("Assets/map-pin.svg")]], [#v(5pt) Denmark, Aalborg],
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[#align(start)[#v(2pt) #image("Assets/at-sign.svg")]], [#v(5pt) me@\samantha42.xyz],
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[#align(start)[#v(2pt) #image("Assets/www.svg")]], [#v(5pt) #link("samantha42.xyz")],
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[#align(start)[#v(2pt) #image("Assets/repository.svg")]], [#v(5pt) #link("git.samantha42.xyz")]
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)
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#set align(start)
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#section2[Application Skills]
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#grid(
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columns: (1fr, 1fr),
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row-gutter: 10pt,
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[Excel],
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[#progress(82)],
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[Python],
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[#progress(73)],
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[SQL],
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[#progress(55)],
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[Go],
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[#progress(90)],
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[Git],
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[#progress(40)]
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)
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#section2[Interests]
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#stack(
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spacing: 10pt,
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[#blob[Cinema] #blob(inverse: true)[TV Shows] #blob[Economics] #h(1fr)],
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[#blob(inverse: true)[Gaming] #blob[Board Games] #blob(inverse: true)[Design] #h(1fr)],
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[#blob[Financial Markets] #blob(inverse: true)[Investing] #h(1fr)],
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[#blob(inverse: true)[Programming] #blob[Open Source] #blob(inverse: true)[Tech] #h(1fr)],
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)
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#section2[Languages]
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#grid(
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columns: (1fr, 1fr),
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row-gutter: 10pt,
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[Danish],
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[#progress(95)],
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[English],
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[#progress(80)]
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)
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#v(12pt)
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#grid(
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columns: (1fr, 1fr),
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[#align(start)[
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#block(width: 60pt)[
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#stack(spacing: 5pt)[
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#align(center)[#text(size: 10pt)[Website]]
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][
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#qr-code(error-correction: "H", "samantha42.xyz", color: FeatureColor, width: 60pt)
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]]]],
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[#align(end)[
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#block(width: 60pt)[
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#stack(spacing: 5pt)[
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#align(center)[#text(size: 10pt)[Repository]]
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][
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#qr-code(error-correction: "H", "git.samantha42.xyz", color: FeatureColor, width: 60pt)
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]]]],
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)
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]
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]
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)
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