Anish Chakravorty
Aspiring Data Analyst
Based in West Bengal, India
About
I am a highly motivated and detail-oriented aspiring data analyst with a strong foundation in data analysis, statistical techniques, and data visualization. Proficient in tools like Excel, Power BI, SQL, and Python, I am passionate about transforming data into actionable insights to support informed decision-making and drive business growth. I am eager to apply my analytical skills and problem-solving abilities to real-world challenges in a dynamic and collaborative environment.
Skills
Projects
Education
2020-2024
Electronics & Instrumentation at KIIT University
My academic journey in Electronics and Instrumentation Engineering equipped me with a comprehensive understanding of designing, developing, and controlling systems for measurement and automation. The four-year program provided a strong foundation in core electrical and electronics engineering principles. This included in-depth studies of circuit analysis, analog and digital electronics, semiconductor devices, and electrical machines. Furthermore, I delved into the fascinating world of instrumentation and measurement. This involved understanding the principles behind various sensors and transducers, along with the techniques for signal conditioning and data acquisition. I learned to operate instruments that measure a wide range of physical quantities, such as temperature, pressure, flow,
Dec 2023 - Apr 2024
PGC Data Science at Internshala Trainings
My journey into Data Science began with Internshala Trainings' PGC Data Science course. This comprehensive program provided a well-structured foundation in the essential tools and techniques used by data scientists today. The curriculum delved into the fundamentals of Python programming, a core language for data manipulation and analysis. I gained proficiency in handling data structures, working with libraries like NumPy and Pandas, and exploring data visualization techniques with libraries like Matplotlib and Seaborn. Statistical concepts formed a crucial pillar of the program. I explored descriptive statistics, inferential statistics, and probability theory, equipping myself to draw meaningful insights from data. Additionally, I learned about hypothesis testing and various statistical