https://github.com/1sumer/1sumer
Data Professional | Python | SQL | Statistical Analysis | Data Mining & Manipulation | Predictive Analytics | Python Automation| Machine Learning | Data Visualization (Power BI, Matplotlib, Seaborn).
https://github.com/1sumer/1sumer
data-science dataanalytics dataexplorer pythonautomation
Last synced: 9 months ago
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Data Professional | Python | SQL | Statistical Analysis | Data Mining & Manipulation | Predictive Analytics | Python Automation| Machine Learning | Data Visualization (Power BI, Matplotlib, Seaborn).
- Host: GitHub
- URL: https://github.com/1sumer/1sumer
- Owner: 1sumer
- Created: 2024-04-27T05:59:08.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-01T11:29:24.000Z (9 months ago)
- Last Synced: 2025-04-01T12:29:56.222Z (9 months ago)
- Topics: data-science, dataanalytics, dataexplorer, pythonautomation
- Homepage: https://github.com/1sumer
- Size: 35.2 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sumer Pasha
**Data Analyst | Python Automation Engineer**
[](http://www.linkedin.com/in/sumer-pasha-70884a152)
[](https://github.com/1sumer)
---
## 🌐 Portfolio
Explore my projects and achievements on my [Portfolio Website](https://1sumer.github.io/Portfolio/)
---
## 💫 About Me:
- 🔭 Currently working at **Analogica Software Development Pvt Ltd** as a Data Analyst & Python Automation Engineer.
- 🌱 Currently exploring advanced **automation techniques**.
- 👯 Open to collaborating on **Data Analytics**, **Python Automation**, and **ETL Pipeline Development** projects.
- 💬 Ask me about **SQL**, **Python**, **Data Visualization**, and **Machine Learning**.
- 📫 Reach me at: **sameerpasha658@gmail.com**
---
## 🌐 Socials:
[](https://www.linkedin.com/in/sumer-pasha-70884a152/)
[](https://github.com/1sumer)
[](https://www.facebook.com/sumer.pasha.58)
[](https://www.instagram.com/sameerpasha.78/)
[](https://www.kaggle.com/sumerpasha)
---
## 🛠️ Skills:
- **Languages**: Python, SQL, R
- **Data Analysis**: Exploratory Data Analysis (EDA), Statistical Analysis
- **Visualization Tools**: Power BI, Matplotlib, Seaborn, Matplotlib
- **Automation**: Python Automation, GUI (Tkinter), Email Automation (SMTP), Web Scraping (BeautifulSoup, Selenium)
- **Database Management**: SQL, MySQL, ETL Processes, Data Cleaning, PySpark
- **Machine Learning**: Supervised & Unsupervised Learning, Scikit-Learn
- **Tools**: Git, GitHub
---
## 🎓 Education
- **Bachelor of Engineering (Mechanical)** – R L Jalappa Institute of Technology, Doddaballapur (2016–2020)
- **PUC (PCMB)** – Poorna Prajna P U College, Chickballapur (2014–2016)
---
## 📊 Projects:
### **Crop & Fertilizer Recommendation System**
- **Tools Used**: Python, Tkinter, Pandas, scikit-learn, Numpy, Flask, Render
- Developed a Flask-based web application that predicts the optimal crop to grow based on soil and weather conditions and recommends the right fertilizer for a healthier yield using a Random Forest Classifier.
- Implemented a machine learning model integrated with a Python backend and deployed the solution on Render Cloud.
- Planned future enhancements include integrating a real-time weather API for dynamic predictions, deploying on AWS SageMaker for scalability, and expanding to a mobile app version.
- **Live App**: [agriculture-pridiction.onrender.com](https://agriculture-pridiction.onrender.com/) | GitHub Repo: [github.com/1sumer/Agriculture_Pridiction](https://github.com/1sumer/Agriculture_Pridiction).
### **Invoice Generation and Data Analysis System**
- **Tools Used**: Python, MySQL, Tkinter, Pandas
- Developed a Python-based invoicing system that collects transaction data and stores it in MySQL for analysis.
- Automated invoice generation, improving accuracy and reducing manual errors by 30%.
- Performed customer behavior analysis to derive actionable insights for sales optimization.
### **Global Superstore Sales Profitability Analysis**
- **Tools Used**: SQL, Python, Power BI, Pandas, NumPy
- Analyzed sales and shipping dynamics to improve profitability and operational efficiency.
- Built Power BI dashboards to identify trends, top-performing regions, and customer segments.
### **E-Commerce Data Extraction and Analysis**
- **Tools Used**: Python (BeautifulSoup, Pandas), Power BI
- Scraped product data from e-commerce platforms to identify pricing trends and market positioning.
- Generated reports that informed competitive strategy formulation.
---
## ✍️ Blogs:
- [**The Importance of SQL in Today's World**](https://certisured.com/blogs/the-importance-of-sql-in-today-s-world-a-fundamental-data-manipulation-language)
- [**Python’s OOP Revolution**](https://certisured.com/blogs/python-oop-revolution/)
- [**Exploring the Core Principles of Decision Tree in Machine Learning**](#)
- [**Understanding Regularization: Preventing Overfitting**](#)
---
## 📁 Certifications:
- **Data Analytics with Python & SQL** – Certisured
- **Diploma in Machine Learning & AI** – Certisured
- **Scala Programming for Data Science** – Scala
- **Data Visualization: Empowering Business Insights** – Tata Group
---
❤️ Best Tools:
---
## 🛠️ My Favorite Tools:
[](https://www.python.org/)
[](https://numpy.org/)
[](https://seaborn.pydata.org/)
[](https://scikit-learn.org/stable/)
[](https://www.mysql.com/)
[](https://spark.apache.org/docs/latest/api/python/index.html)
[](https://www.sqlite.org/index.html)
[](https://learn.microsoft.com/en-us/power-bi/)
[](https://github.com/)
[](https://git-scm.com/)
[](https://opencv.org/)
[](https://developer.mozilla.org/en-US/docs/Web/HTML)
[](https://www.scala-lang.org/)
[](https://www.microsoft.com/en-us/microsoft-365/excel)
[](https://www.microsoft.com/en-us/microsoft-365/word)
[](https://www.microsoft.com/en-us/microsoft-365/powerpoint)
---
❤️ Fun Fact: "Data is the new fuel" 🤑 - Clive Humby
⭐️ Don't forget to give a star to my repositories! 💫