app
Browse files- 0_π_CV.py +99 -0
- LICENSE +21 -0
- requirements.txt +74 -0
0_π_CV.py
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from PIL import Image
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import streamlit as st
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#st.header(')
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profile_pic = "assets/ΠΠ΅Π½Ρ.jpg"
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profile_pic = Image.open(profile_pic)
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# --- GENERAL SETTINGS ---
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PAGE_TITLE = "Digital CV | Π©ΡΡΠΊΠΈΠ½ ΠΠ²Π³Π΅Π½ΠΈΠΉ'"
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PAGE_ICON = ":wave:"
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NAME = "Π©ΡΡΠΊΠΈΠ½ ΠΠ²Π³Π΅Π½ΠΈΠΉ"
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DESCRIPTION = """
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Data Scientist ΡΠΎ ΡΡΡΠ°ΡΡΡΡ ΠΊ NLP
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"""
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EMAIL = "shchurkin.evgeniy@gmail.com"
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SOCIAL_MEDIA = {
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"LinkedIn": "https://linkedin.com",
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"GitHub": "https://github.com",
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"Telegram": "https://t.me/Shushch",
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}
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PROJECTS = {
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}
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st.set_page_config(page_title=PAGE_TITLE, page_icon=PAGE_ICON)
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st.sidebar.success("ΠΡΠ±Π΅ΡΠΈΡΠ΅ ΠΏΡΠΎΠ΅ΠΊΡ Π²ΡΡΠ΅")
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col1, col2 = st.columns(2, gap="small")
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with col1:
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st.image(profile_pic, width=230)
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with col2:
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st.title(NAME)
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st.write(DESCRIPTION)
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# st.download_button(
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# label=" π Download Resume",
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# data=PDFbyte,
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# file_name=resume_file.name,
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# mime="application/octet-stream",
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# )
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st.write("π«", EMAIL)
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st.write("β
", SOCIAL_MEDIA["Telegram"])
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st.write('\n')
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st.subheader("ΠΠ°Π²ΡΠΊΠΈ")
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st.write(
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"""
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- βοΈ Π₯ΠΎΡΠΎΡΠ΅Π΅ ΠΈΠ½Π΄ΡΠΊΡΠΈΠ²Π½ΠΎΠ΅ ΠΈ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΡΡΠ»Π΅Π½ΠΈΠ΅
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- βοΈ Π‘ΡΡΠΎΡ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ½ΡΠ΅ Π³ΠΈΠΏΠΎΡΠ΅Π·Ρ ΠΈ Π»ΡΠ±Π»Ρ ΠΈΠ½ΠΆΠΈΠ½ΠΈΡΠΈΡΡ ΡΠΈΡΠΈ
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- βοΈ ΠΠ½ΠΎΠ³ΠΎ Π·Π½Π°Ρ ΠΏΡΠΎ Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΎΡΠΈΠ±ΠΊΠΈ, Π° ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²Π΅Π½Π½ΠΎ ΡΠΌΠ΅Ρ ΠΈΡ
ΠΈΠ·Π±Π΅Π³Π°ΡΡ
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"""
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)#
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# --- SKILLS ---
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st.write('\n')
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st.subheader("Π₯Π°ΡΠ΄ ΡΠΊΠΈΠ»Π»Ρ")
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st.write(
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"""
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- π©βπ» ΠΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅: Python (Scikit-learn, Pandas), SQL, C#, Π‘++
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- π ΠΠΈΠ·ΡΠ°Π»ΠΈΠ·Π°ΡΠΈΡ Π΄Π°Π½Π½ΡΡ
: MS Excel, Seaborn, Matplotlib, Plotly
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- π ML ΠΈ NN ΠΌΠΎΠ΄Π΅Π»ΠΈ: ΠΠΈΠ½Π΅ΠΉΠ½ΡΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈ, ΠΠ΅ΡΠ΅Π²ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΠΉ, Π½Π΅ΠΉΡΠΎΡΠ΅ΡΠΈ
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- π NLP: nltk, pymystem3
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- ποΈ CV: YOLO, Detectron
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"""
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#- ποΈ ΠΠ°Π·Ρ Π΄Π°Π½Π½ΡΡ
: Postgres, MongoDB, MySQL
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) # ΠΠΎΠ±Π°Π²ΠΈΡΡ ΠΏΡΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΡ
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# --- WORK HISTORY ---
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st.write('\n')
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st.subheader("ΠΠΏΡΡ ΡΠ°Π±ΠΎΡΡ")
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st.write("---")
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# --- JOB 1
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st.write('\n')
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st.write("π§", "**Data Scientist | ΠΠ»ΡΠ±ΡΡΡ ΠΡΡΠΊΠ΅ΠΌΠΏ**")
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st.write("05.2023 - 08.2023")
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st.write(
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"""
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- βΊ ΠΠΎΠΏΠ°Π» Π² ΡΠΎΠΏ 10% ΠΏΠΎ Π΄Π°ΡΠ°ΡΠ΅ΡΡ Π’ΠΈΡΠ°Π½ΠΈΠΊ
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- βΊ Π‘Π΄Π΅Π»Π°Π» ΠΎΠΊΠΎΠ»ΠΎ 10 ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ². ΠΠ°ΡΠΈΠ½Π°Ρ ΠΎΡ ΡΡΡΠ½ΠΎΠΉ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ°Π±Π»ΠΈΡΠ½ΡΡ
Π΄Π°Π½Π½ΡΡ
ΠΈ Π·Π°ΠΊΠ°Π½ΡΠΈΠ²Π°Ρ Π½Π΅ΠΉΡΠΎΡΠ΅ΡΡΠΌΠΈ Π΄Π»Ρ NLP ΠΈ CV
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- βΊ
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"""
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)
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# --- JOB 2
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st.write("π§", "**Π‘ΡΠ°ΡΡΠΈΠΉ ΠΌΠ΅Π½Π΅Π΄ΠΆΠ΅Ρ ΠΏΠΎ ΠΏΡΠΎΠ΄Π°ΠΆΠ°ΠΌ | ΠΡΠ΅ΠΠ½ΡΡΡΡΠΌΠ΅Π½ΡΡ.ΡΡ**")
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st.write("10.2022 - 03.2023")
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st.write(
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"""
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- βΊ ΠΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π» Excel Π΄Π»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΡΠΎΠ΄Π°ΠΆ Π³ΠΎΠ΄ ΠΊ Π³ΠΎΠ΄Ρ ΠΈ ΠΏΡΠΎΠ΄Π°ΠΆ ΠΏΠΎ ΠΊΠ°ΡΠ΅Π³ΠΎΡΠΈΡΠΌ
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- βΊ ΠΡΠ³Π°Π½ΠΈΠ·ΠΎΠ²Π°Π» Π±ΡΠ΅ΠΉΠ½-ΡΡΠΎΡΠΌ Π½Π° ΠΏΠΎΠ»ΡΠΎΡΠ½ΠΈ ΡΡΠ°ΡΡΠ½ΠΈΠΊΠΎΠ² Π΄Π»Ρ Π³Π΅Π½Π΅ΡΠ°ΡΠΈΠΈ ΠΈΠ΄Π΅ΠΉ ΠΏΠΎ ΡΠ²Π΅Π»ΠΈΡΠ΅Π½ΠΈΡ KPI ΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π» ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ
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- βΊ ΠΡΠΎΠ²ΡΠ» ΠΎΠΏΡΠΎΡ ΠΏΠΎ ΠΆΠ΅Π»Π°Π΅ΠΌΠΎΠΌΡ Π³ΡΠ°ΡΠΈΠΊΡ ΡΠ°Π±ΠΎΡΡ ΠΌΠ°Π³Π°Π·ΠΈΠ½ΠΎΠ² ΠΈ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°Π» ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ
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"""
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) # ΠΠ°ΠΏΠΈΡΠ°ΡΡ ΠΏΡΠΎ Π°Π½Π°Π»ΠΈΡΠΈΠΊΡ Π²ΠΎ ΠΡΠ΅ΠΠ½ΡΡΡΠΌΠ΅Π½ΡΡ
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# ΠΠ°ΠΏΠΈΡΠ°ΡΡ Π’ΠΎΠ»Π΅ Ρ ΠΏΠΎΠ³ΠΎΠ½ΠΈ Π·Π° ΠΎΡΡΠ΅ΡΠ°ΠΌΠΈ
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# --- Projects & Accomplishments ---
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st.write('\n')
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st.subheader("ΠΡΠΎΠ΅ΠΊΡΡ")
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st.write("---")
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"""
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Π‘Π»Π΅Π²Π° ΠΌΠΎΠΆΠ½ΠΎ ΠΏΠΎΡΠΌΠΎΡΡΠ΅ΡΡ Π½Π΅ΠΊΠΎΡΠΎΡΡΠ΅ ΠΈΠ· ΠΌΠΎΠΈΡ
ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ² ΠΏΠΎ CV ΠΈ NLP
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"""
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LICENSE
ADDED
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MIT License
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Copyright (c) 2023 Shchushch
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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requirements.txt
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altair==5.1.1
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attrs==23.1.0
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blinker==1.6.2
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cachetools==5.3.1
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certifi==2023.7.22
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charset-normalizer==3.2.0
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click==8.1.7
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contourpy==1.1.0
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cycler==0.11.0
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faiss-cpu==1.7.4
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filelock==3.12.3
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fonttools==4.42.1
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fsspec==2023.6.0
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gitdb==4.0.10
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GitPython==3.1.33
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16 |
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huggingface-hub==0.16.4
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idna==3.4
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importlib-metadata==6.8.0
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Jinja2==3.1.2
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joblib==1.3.2
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jsonschema==4.19.0
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jsonschema-specifications==2023.7.1
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kiwisolver==1.4.5
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lightning-utilities==0.9.0
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markdown-it-py==3.0.0
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MarkupSafe==2.1.3
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matplotlib==3.7.2
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mdurl==0.1.2
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mpmath==1.3.0
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networkx==3.1
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nltk==3.8.1
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numpy==1.25.2
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packaging==23.1
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pandas==2.1.0
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Pillow==9.5.0
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36 |
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protobuf==4.24.2
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37 |
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pyarrow==13.0.0
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pydeck==0.8.0
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Pygments==2.16.1
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Pympler==1.0.1
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pymystem3==0.2.0
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pyparsing==3.0.9
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python-dateutil==2.8.2
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pytz==2023.3
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pytz-deprecation-shim==0.1.0.post0
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PyYAML==6.0.1
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referencing==0.30.2
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regex==2023.8.8
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requests==2.31.0
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rich==13.5.2
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rpds-py==0.10.0
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safetensors==0.3.3
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53 |
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six==1.16.0
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54 |
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smmap==5.0.0
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streamlit==1.26.0
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sympy==1.12
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tenacity==8.2.3
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58 |
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tokenizers==0.13.3
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toml==0.10.2
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toolz==0.12.0
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61 |
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torch==2.0.1
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torchmetrics==1.1.1
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torchutils==0.0.4
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64 |
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torchvision==0.15.2
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65 |
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tornado==6.3.3
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66 |
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tqdm==4.66.1
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67 |
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transformers==4.32.1
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68 |
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typing_extensions==4.7.1
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69 |
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tzdata==2023.3
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tzlocal==4.3.1
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71 |
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urllib3==2.0.4
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72 |
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validators==0.21.2
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73 |
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watchdog==3.0.0
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zipp==3.16.2
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