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20231119に大阪で行われた関西女性エンジニアコミュニティのキャリアLT会での登壇資料です!
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20231119_キャリアLT.pdf
1.
ジョブチェンジのすゝめ 〜“キャリア迷子”だからこそできる選択〜
2.
川上詩織(KAWAKAMI.Shiori) 名前 うぇるだん NN 大分県♨️ 出身 @sk-we11dan X 自己紹介
3.
今日話すこと これまでの経歴 学生〜1社目〜2社目 キャリア迷子なあれこれ それぞれのキャリアを選んでい く上で考えたことや悩んだこと ジョブ(ロール)チェンジのコツ 新しいチャレンジをするためにやった ことやその時のマインド これから 自身のキャリアについて思うこ ととこれから
4.
経歴 大学時代 沖縄の大学で海洋環境学を専攻 沿岸域の土地開発と生物・環境との関係性を経済学的に評価する研究をした 1社目(生産管理ソフトウェアのメーカー) Javaのバックエンドエンジニアをしつつ、PdMやPM ↓ 機械学習、xR技術をメインとしたR&D組織の立ち上げ + Webメディアの編集・記者 2社目 R&Dマネージャというロールで、委託研究や共同研究のPM チームの立ち上げ期だったので、研究環境やコミュニケーションの整備やPR的なことも いろんなことに興 味 を もちすぎて、 自 分 でもキャリアの 志 向 が よくわかんない😇
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研究でR言語を学んだ 統計学を使ったりするので、 Rを勉強してハマった 働く場所 大阪の会社だったけど、沖縄に も支社(子会社)があって、 そこに所属することもできた オフィス、きれい 単純に他の業界に比べてIT業界 のオフィスって綺麗なことが多 いし、私が決めたとこはとくに ジョブチェンジその1: 専門ではないエンジニアに就職する
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1社目[前半] エンジニアでした 生産(販売・在庫)管理のパッケージ開発にサーバーサイドエンジニアと して関わったり、PdM、PMとして動いたりしていました 技術スタックとしては、 ● 業務レベル :
Java、C++、JS、SQL(黒魔術は使えない) ● 趣味 : Python、TS はまあまあ触れる、GCP
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趣味でPythonを学んだ Javaだけだとつまらなくなっ て、気軽に始められそうな Pythonを勉強し始め、 その中で「機械学習」と出会う 社内勉強会を企画した 機械学習について社内で勉強会 を開いて、業務でも使えないか な?と考えていた チャレンジ、たのしい ユーザーと一緒にPoCをしたり、 新しいサービスを作ったりするこ とがすごく楽しかったし、0から のチーム作りにもワクワクした ジョブチェンジその2: R&Dチームの立ち上げにチャレンジ
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1社目[後半] R&Dをする部署の立ち上げをしました (実際は超やりたいアピールしました)←ここ大事 やってたこと、 ● AI/ML関連の情報収集・発信 ● チームビルディング ●
PoC ● ML Dev環境の整備(GCP)
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物足りない R&Dでわいわいやってるのは楽し いけど、実際サービスとしてロー ンチできるものは少ない あと、自分より詳しい人がいない 外に目を向ける 一方外に目を向けると、その道 で活躍している人や企業がすご く多く見えた 自分自身がそこに飛び込めばい いのでは? 資格取得のため再勉強 ちょうどE資格というディープラ ーニングの資格を取得するため に、この分野について学び直しを したので、より専門性を高めてや っていくのも良さそうに思えた ジョブチェンジその3: 転職、R&Dのマネジメントで専門的を高める
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キャリアを通して 変わらなかった部分 (ジョブチェンジのコツ) 得意不得意を把握する 正直5年後のキャリアパスとか ってわからないけど、好き・ 得意だけでもはっきりしてる とシンプルに考えられて良い 新しいことを学ぶ 意識高い系で常に勉強し てる必要はないと思うけ ど、好きなものにはちゃ んと時間もお金もかける とりあえずやる 能力がないと思っても、とり あえず興味が湧いたら手を挙 げる!意外となんとかなる! ネガティブなことはない 例えば転職って「今の会社が 嫌だ」みたいな気持ちも多少 あると思う。ここは言い換え でポジティブにしていく
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これから。。。
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別に数年後の自分像を具体的に考えた上でとか じゃなくていい。シンプルに、 やりたい! と思うことを明確にしたうえで、 自分と相性のいい場所ややり方を選ぶのが大切
13.
ありがとうございました!
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