I've been using Python for around five years now. I started learning it recreationally, but it eventually led me down the computer science path and helped bring me to where I am today. As a way of challenging myself further, I also started to learn SQL and PHP, though I've always found SQL the easier of the two. Python is my main language, though, and it's the one I've used most in my previous jobs; I think it's probably the most versatile programming language for data science
I am a dedicated and aspiring PhD student in electrical engineering with a background in power system grid operation and machine learning. I am eager to contribute to the advancement of Al systems with power system that can learn, and problem-solve independently.
EDUCATION
Masters of Applied Statistics and Data Science
Jahangirnagar University · CPGA: 3.79/4.00 · 04/2025
Bachelor of Science in EEE
Bangladesh University of Engineering and Technology · 02/2017
EXPERIENCE
Assistant Engineer at Dhaka Power Distribution Company · 12/2019-Present
Managed operation and maintenance of critical power infrastructure, including 2 AIS 33/11 kV substations, 7 GIS 33/11 kV substations, and one 132/33 kV grid substation.
Diagnosed, troubleshot, and rectified electrical faults to minimize system downtime and maintain service reliability.
Led annual predictive and preventive maintenance programs to enhance asset reliability and reduce failure risk.
Maintained comprehensive maintenance logs and technical reports, ensuring regulatory compliance and adherence to safety standards through regular audits.
Led technical teams to consistently meet monthly network improvement targets.
Managed operation and maintenance of 5+ 11 kV feeders and associated low-voltage distribution networks, ensuring uninterrupted power supply to 20,000+ customers.
Analyzed 60,000+ customer data records to optimize service delivery and customer engagement strategies.
Contributed to service revenue growth by streamlining processes and reducing manual data handling through data-driven analysis.
Assistant Engineer at Coal Power Generation Company Bangladesh · 07/2018-12/2019
Analyzed and verified land documents, ensuring accuracy for over 52,000 stakeholders.
Used Python to build tools that prevented double compensation cases and optimized document search processes.
Enhanced customer relations by coordinating with service firms and resolving issues efficiently.
Certificate in a mathematical Olympiad competition
Junior and Primary Scholarship
Many certificates in Analytical ability competitions
Debating Participation
Writing Competition
Curious by nature with explorative capabilities
Does not give up easily till a problem is solved
Interested in acquiring business knowledge
Blend of creativity and technical skills
Soft skills like communication, lifelong learning, team playing, and ethical hacking skills
Assistant Engineer in Dhaka Power Distribution Company Limited (Dec 19 to Present)
Assistant Engineer in Coal Power Generation Company Limited (July 18 to Dec 19)
Acquire expertise in advanced machine learning techniques such as deep learning, reinforcement learning, and natural language processing.
Focus on a specific industry or domain (e.g., healthcare, finance, or e-commerce) and become a subject matter expert in data science applications within that field.
Contribute to the data science community by publishing research papers, articles, or open-source projects.
Create data-driven products or solutions that provide value to both the organization and its customers.
Improve coding skills in languages like Python, R, and SQL to write efficient and scalable data analysis code.
Advocate for ethical data practices and responsible AI by actively participating in discussions and initiatives related to data ethics.
Become proficient in big data technologies like Hadoop and Spark for handling large-scale data.
Explore international opportunities and collaborations to broaden my experience and perspective.
Consider pursuing advanced degrees, such as a Master's or Ph.D. in a data science-related field, to deepen my knowledge.
Give back to the data science community by volunteering, mentoring, or participating in outreach programs to encourage diversity and inclusivity in the field.