Machine Learning Sap Abap

Sarfaraj Shaikh

937******* *****************@*****.***.

Education

B.Tech in Computer Science Feb. 2021 - Jun 2024

Sanjivani College of Engineering, Kopargaon, Ahmednagar Technical Skills and Interests

Programming Languages: Python, SQL, ABAP,.

SAP ABAP: ALV reports, Interactive reports,Smartforms, BADI, BAPI, Data dictionary-(Tables,Views, Structure, Search, Domains,).

Interests: Traveling, Gaming, Playing Cricket.

Linkedin: https://www.linkedin.com/in/sarfaraj-shaikh-578133229 Projects

Web Application for Demand Forecast in Crop Stock Using Machine Learning, Git.

• The Crop Price Prediction System (CPPS) is an innovative tool designed to assist farmers, dealers, and other agricultural stakeholders in overcoming the challenges posed by the unpredictable nature of agriculture. Factors such as weather, market demand, and geopolitical events cause frequent fluctuations in crop prices. The CPPS leverages advanced data analytics and machine learning techniques to forecast crop prices with high accuracy, enabling stakeholders to make informed decisions. This system aims to improve decision-making processes and mitigate risks in the agriculture sector.

Monthly Budget Tracking System in Python.

• The Monthly Budget Tracking System project in Python enables users to manage their income and expenses efficiently. It tracks income, categorizes expenses, calculates totals, and provides a monthly financial summary. Key libraries used in this project include Pandas for data handling, Matplotlib/Seaborn for visualizing financial trends, and Tkinter to create a user-friendly graphical interface. Data can be saved and loaded using CSV or JSON files, and the Datetime library helps with date-specific budget tracking. IOT Based Alert Messaging System for water tank level and flow detection.

• It is an IoT-based project that involves sensors and an internet-connected device to monitor the water level and flow in a tank. A PHP web page is used to display the data, and notifications are sent to a user’s smartphone or computer when certain conditions are met. This project was implemented on our college campus. Internship

Basic Data Science and SAP ABAP

I completed a 3-month basic data science training, gaining proficiency in various Python libraries, SQL queries, and foundational machine learning concepts. This training equipped me with essential skills in data analysis, modeling, and predictive analytics, enabling me to apply machine learning techniques to solve real-world problems and derive insights from data.

SAP ABAP

I Completed 3 month SAP ABAP training gaining profeciency in various ABAP concepts ALV Reports: Developed ALV reports for data presentation and analysis. Smart Forms: Designed and implemented smart forms for enhanced reporting. BADI (Business Add-Ins): Customized functionalities using BADI for specific business requirements. Data Dictionary: Created and managed database tables, views, and data elements effectively. Interactive Reports: Developed interactive reports for enhanced data handling and user experience. Acheivments

Certificates Python (Infosys springboard), SAP Global Certification Pursuing.

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