Delete app.py

app.py

@@ -1,165 +0,0 @@
-from pathlib import Path
-
-import streamlit as st
-from PIL import Image
-
-
-# ---- Path Setting -----
-current_dir = Path(__file__).parent if"__file__" in locals() else Path.cwd()
-css_file = current_dir / "styles"/"main.css"
-resume_file = current_dir / "assets" / "aditya_s_resume.pdf"
-profile_pic = current_dir / "assets" / "profile-pic.png"
-
-# --- general settings
-PAGE_TITLE = "Digital CV | Aditya Yadav"
-PAGE_ICON = ":wave:"
-NAME = "Aditya Yadav"
-DESCRIPTION = """
-Aspiring Machine Learning Engineer with a solid foundation in data science, currently in my 3rd year of BSc in Data Science.
-Skilled in data visualization, preprocessing, and team-based ML projects. 
-"""
-EMAIL = "[email protected]"
-SOCIAL_MEDIA = {
-    "LinkedIn": "https://www.linkedin.com/in/aditya-s-yadav01/",
-    "Github": "https://github.com/adityayadav0111",
-    "Kaggle": "https://www.kaggle.com/adityayadav01",
-    "Twitter(X)": "https://x.com/yadavv_adityaa",
-    "Leetcode": "https://leetcode.com/u/adityayadav011103/"
-}
-
-PROJECTS = {
-    "🏆 Movie Recommendation System - Web app using Pyton ": "https://huggingface.co/spaces/aditya-s-yadav/Movie-Recommender",
-    "🏆 SMS Spam Classifier - NlP Based System to Detect Spam or Ham": "https://github.com/adityayadav0111/sms-email-spam-classifier",
-    "🏆 Spotify Dashboard - Used Power Bi to create interactive dashboard": "https://github.com/adityayadav0111/Dashboards/blob/main/Spotifyy_Dashboard_000.pbix",
-    "🏆 Image To Text Conversion App - Used Flask to create Web App for Text Conversion from Image": "https://github.com/adityayadav0111/Image-to-text-speech-conversion-app",
-}
-
-CERTIFICATIONS = {
-    "🎓 IBM Data Analyst Specialization - Coursera": "https://drive.google.com/file/d/19p7v4aGPzlik-y0nAuc8VbzdTw9wTo3o/view?usp=sharing",
-    "🎓 Python for Data Science - NPTEL": "https://drive.google.com/file/d/1yyC7cu4a63Wambw71a_XtSeUgULcXCM3/view?usp=sharing",
-    "🎓 Data Analytics and Visualization Job Simulation  - Forage": "https://drive.google.com/file/d/1XWh_fz1XaUqhY_KKuo3yvyeb9NKyf3qB/view?usp=sharing"
-}
-
-
-st.set_page_config(page_title=PAGE_TITLE, page_icon=PAGE_ICON)
-
-## -- LOAD CSS, PDF AND PROFILE PIC ----
-with open(css_file) as f:
-    st.markdown("<style>{}</style>".format(f.read()),unsafe_allow_html=True)
-with open(resume_file,"rb") as pdf_file:
-    PDFbyte =pdf_file.read()
-profile_pic = Image.open(profile_pic)
-
-# --- Hero Section ---
-col1, col2  = st.columns(2,gap="small")
-with col1:
-    st.image(profile_pic, width=230)
-
-with col2:
-    st.title(NAME)
-    st.write(DESCRIPTION)
-    st.download_button(
-        label= " 📄 Download Resume",
-        data=PDFbyte,
-        file_name = resume_file.name,
-        mime="application/octet-stream",
-
-
-    )
-    st.write("📫",EMAIL)
-
-# --- SOCIAL LINKS ---
-st.write('\n')
-cols = st.columns(len(SOCIAL_MEDIA))
-for index, (platform, link) in enumerate(SOCIAL_MEDIA.items()):
-    cols[index].write(f"[{platform}]({link})")
-
-## --- Experience and Qualifiaction
-st.write('\n')
-st.subheader("Experience & Qualifications")
-st.write(
-    """
-- ✔️ 0.5 years of experience in data analysis, focusing on generating actionable insights from various datasets
-- ✔️ Proficient in Python and Excel, applied in projects such as spam detection and image-to-text conversion
-- ✔️ Strong understanding of statistical principles and their applications in real-world scenarios
-- ✔️ Excellent team player with a proactive approach, demonstrated during internships and collaborative projects
-- ✔️ Currently pursuing a BSc in Data Science, with coursework in machine learning and financial modeling
-- ✔️ Hands-on experience in developing and deploying applications using Flask and data visualization tools
-"""
-)
-
-# --- SKILLS ---
-st.write('\n')
-st.subheader("Hard Skills")
-st.write(
-    """
-- 👩‍💻 Programming: Python (Scikit-learn, Pandas), SQL, C, Java, NoSQL
-- 📊 Data Visulization: PowerBi, MS Excel, Plotly, Tableau
-- 📚 Core Skills: Supervised Learning, Unsupervied Learning, Data Scraping,NLP
-- 🗄️ Databases: Postgres, MongoDB, MySQL
-"""
-)
-
-
-# --- WORK HISTORY ---
-st.write('\n')
-st.subheader("Work History")
-st.write("---")
-
-# --- JOB 1
-st.write("🚧", "**Data Analyst Intern | Ozibook**")
-st.write("07/2024 - 09/2024")
-st.write(
-    """
-- ► Led a team of 4 in lead generation, identifying and implementing strategies to drive more qualified client leads.
-- ► Collection and screening of data on over 500 potential clients across sectors such as travel, fitness, and corporate
-companies, with a focus on markets in Dubai and major Indian cities.
-- ► Conducted interviews to assess and onboard team members, enhancing team efficiency by selecting candidates aligned
-with project requirements.
-
-"""
-)
-
-# --- JOB 2
-st.write('\n')
-st.write("🚧", "**Data Science Intern | CodSoft**")
-st.write("05/2018 - 06/2022")
-st.write(
-    """
-- ► Developed and implemented machine learning models for fraud detection, sales price prediction, and movie rating
-prediction
-- ► • Utilized Python and relevant libraries for data preprocessing, model training, and evaluation.
-"""
-)
-
-# --- JOB 3
-st.write('\n')
-st.write("🚧", "**Customer Service Associate  | PVR Cinemas**")
-st.write("12/2023 - 02/2024")
-st.write(
-    """
-- ► Processed financial transactions with precision, ensuring compliance with company policies and maintaining accurate
-records for customer accounts.
-- ► Addressed customer inquiries and resolved issues related to ticketing and bookings, ensuring a smooth and enjoyable
-cinema experience for all patrons.
-"""
-)
-
-
-# --- Certifications ---
-st.write('\n')
-st.subheader("📜Certifications")
-st.write("---")
-for certification, link in CERTIFICATIONS.items():
-    st.write(f"[{certification}]({link})")
-
-
-# --- Projects & Accomplishments ---
-st.write('\n')
-st.subheader("Projects & Accomplishments")
-st.write("---")
-for project, link in PROJECTS.items():
-    st.write(f"[{project}]({link})")
-
-
-