Sumer Pasha

Data Analyst | Machine Learning Engineer | Python Automation Engineer

🌐 Portfolio

Explore my projects and achievements on my

🔭 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

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

Bachelor of Engineering (Mechanical) – R L Jalappa Institute of Technology, Doddaballapur (2016–2020)
PUC (PCMB) – Poorna Prajna P U College, Chickballapur (2014–2016)

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 | GitHub Repo: github.com/1sumer/Agriculture_Pridiction.

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.

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.

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.