Welcome to my professional space! I am Nischal Mandal, a passionate data scientist and innovative full-stack developer based in Dartford, Kent, UK. With a robust background in electronics and communication engineering and a master’s degree in data science from the University of East London, I have cultivated a diverse skill set that spans machine learning, statistical analysis, big data processing, and web development.
My professional journey includes a rewarding stint as a lecturer at Itahari International College, where I designed and delivered comprehensive coursework on cloud computing and IoT. Following this, I transitioned to a full-stack developer role at Meowork IT Solution, where I contributed to the development of over 20 applications, enhancing technical documentation and optimizing workflows.
I specialize in leveraging advanced data science methodologies to drive data-driven decision-making and deliver actionable insights. My expertise includes machine learning, predictive analytics, spatial data analysis, and deep learning, complemented by my proficiency in programming languages such as Python, R, and C++. My practical experience is further enriched by hands-on projects, including developing emotion recognition systems using bio-sensors, creating IoT-based office assistant robots, and constructing sophisticated sentiment analysis models.
I am deeply committed to innovation and excellence, aiming to collaborate with cross-functional teams to tackle complex challenges and drive business growth. My technical skills are complemented by strong time management and strategic thinking abilities, ensuring that I deliver high-quality, impactful results.
Let’s connect and innovate together!
Modules: C, C++, Microprocessor, Mathematics, Statistics, Electronics and circuit, Digital Signal processing, Wireless communication, Telecommunication, Filter Design, Embedded system, Communication System, Antenna and Propagation, Control System, Power System, Satellite communication
Modules: Quantitative Data Analysis, Advanced Decision: Predictive Analaytic and Machine learning, Spatial Data Analysis, Data Ecology