Hi There,
I'm ALSANI
i am into
About Me
I am an 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 & 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 passionate about optimizing 𝐦𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬, 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐧𝐧𝐢𝐧𝐠, 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭, 𝐏𝐫𝐨𝐜𝐮𝐫𝐞𝐦𝐞𝐧𝐭, 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧, and 𝐝𝐫𝐢𝐯𝐢𝐧𝐠 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧. With a strong academic foundation from Jashore University of Science & Technology, I bring hands-on expertise in 𝐂𝐀𝐃/𝐂𝐀𝐌, 𝐂𝐍𝐂 𝐦𝐚𝐜𝐡𝐢𝐧𝐢𝐧𝐠, 𝐥𝐞𝐚𝐧 𝐦𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 to deliver impactful solutions. My professional experience spans diverse projects, including developing automated systems, fabricating precision molds, and designing semi-automatic mechanical ventilators. As a Data Analyst at Skills Canvas, I utilized tools like Python and MS Excel to drive data-driven decisions, improving engagement by 15%.
age: 25
phone : +880 1711-206144
email : alsani.ipe18@gmail.com
place : Habiganj-3341, Bangladesh
SolidWorks
AutoCad
Python
Photoshop
Microsoft365
CNC
Education is not the learning of facts, but the training of the mind to think.
Jashore University of Science & Technology, Jashore-7408, Bangladesh
CGPA: 3.29/4.0
Undergraduate Thesis: Improving Die-Casting Part Classification using Transfer Learning with Deep Convolutional Neural Networks.
Brindabon Government College, Habiganj
GPA: 4.25/5.0
Activities and societies: Chemistry Olympiad
November 2023 - May 2024
September 2021 - April 2022
June 2021- June 2023
July 2020- July 2021
November 2020- July 2021
Journal: IEEE ACCESS
Date: September 12, 2024
Abstract: our research introduces RoBERTa-GCN, a cutting-edge model combining RoBERTa with a graph neural network (GCN) to accurately identify fake news in Bangladesh.
Conference: The 4th International Conference on Electrical, Computer and Communication Engineering (ECCE)
Date: 13-15 February, 2025
Location: CUET, Chittagong, Bangladesh
Conference: 27th International Conference on Computer and Information Technology (ICCIT), Cox’s Bazar, Bangladesh.
Date: December 20-23, 2024
Location: Cox’s Bazar, Bangladesh
Conference: The 7th Annual Bangladeshi International Conference on Industrial Engineering and Operations Management, Dhaka, Bangladesh.
Date: December 21-23, 2024
Location: Dhaka, Bangladesh
Journal: Solar Energy Advances
Date: February 13, 2025
Abstract: A novel indirect solar dryer with photovoltaic panels was designed and developed. The performance of the dryer was studied under empty and load conditions. The dryer efficiency ranged from 34.67 to 39.08% for drying of the vegetables. Cost-effective and sustainable solution with a payback period of 0.78 years.
