Dhaka, Bangladesh
Professional Profile & Core Competencies: I am a highly analytical MSc Data Science and Analytics student at the University of Hertfordshire with a strong technical foundation in Electrical and Electronics Engineering (BSc). My background in engineering has equipped me with advanced mathematical modeling skills and a systematic approach to complex problem-solving. I am proficient in Python (Pandas, Scikit-learn) and SQL, and I possess a deep understanding of signal processing and system architecture. My core strengths include technical precision, adaptability, and the ability to derive data-driven insights from complex physical or digital systems. Placement Objectives & Career Vision: I am currently seeking a Sandwich Placement for the 2026/27 academic year to bridge the gap between engineering principles and data intelligence. I am particularly interested in roles that involve predictive maintenance, sensor data analysis, or industrial automation. My long-term goal is to become a Lead Data Scientist in the engineering or tech sector, focusing on how machine learning can optimize physical infrastructure and energy efficiency. Professional Action Plan: To ensure I am industry-ready, my current self-improvement plan includes: Technical Upskilling: Achieving certification in Cloud Computing (AWS/Azure) to learn how to deploy large-scale data models. Practical Application: Developing a portfolio of projects on GitHub that combine engineering logic with data science, such as time-series forecasting for energy consumption. Professional Networking: Actively engaging with IEEE and Data Science professional groups to stay informed on the latest trends in Industrial AI and IoT.
Finalist, VLSITHON 2.0 (2024) national level VLSI design competition organized by Ulkasemi
Actively organized and participated in many events
General Member: International Human Rights Crime Prevention Foundation
Application of the Advanced Electrical Machine For a Renewable Energy