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Sreejoni Banerjee Data Analyst

About Me

I am a dynamic and detail-oriented Data Analyst with a strong educational background in Statistics, Data Science, and Artificial Intelligence. My recent academic accomplishments include a second Master’s degree in Artificial Intelligence from the University of Surrey, where I achieved a merit score. I have a proven ability to analyze and visualize data using various tools, including Python, R, and Excel.

Throughout my professional journey, I have demonstrated expertise in project management, team training, and delivering exceptional customer service. My previous roles involved developing comprehensive reports, debugging and improving existing projects, and leading independent projects on sentiment analysis and data visualization.

I am proficient in a variety of programming languages and analytical tools, including Python (numpy, pandas, keras, tensorflow, SciKit-Learn, PyTorch, NLTK, spaCy), R (ggplot2, dplyr, tidyr, plotly), R Shiny, SQL, and VBA. I am also skilled in using software and frameworks such as Microsoft Office, HTML, CSS, JavaScript, and Tableau.

My passion lies in using machine learning and artificial intelligence to tackle real-world challenges. I have successfully completed several projects, such as bias detection in image data using hybrid GAN and early forest fire detection using the InceptionV3 model. These projects required a deep understanding of machine learning algorithms and advanced data analysis techniques.

With excellent analytical skills, technological experience, and a commitment to making informed, data-driven decisions, I am eager to contribute to a forward-thinking organization. My goal is to leverage my skills and knowledge to drive impactful results and help businesses succeed in a data-centric world.

Education

  • Master of Science in Artificial Intelligence at University of Surrey

    2023

    Merit – 65.92%
    Relevant Modules: Applied Machine Learning, Advanced Topics in Computer Vision and Deep Learning, Natural Language Processing, AR, VR and The Metaverse, Topics in People-Centred AI

  • Master of Science in Data Science and Spatial Analytics at Symbiosis International University

    2020

    Distinction- 7.69
    Relevant Modules: Cyber Security, Data Mining and Algorithms, Principles and Practices of Data Protection, Image Analytics, Blockchain Technology, Spatial Database Management, Web Analytics, Spatial Big Data and Storage Analytics, Predictive Analytics And Development

  • Bachelor of Science in Statistics at University of Calcutta

    2017

    First Class – 67.75%
    Relevant Modules: Probability Theory, Linear Algebra and Population Statistics, Multivariate Analysis and Large Sample Theory, Time Series Analysis and Sample Survey Methods

Experience

  • Instore Team Member

    • Working part-time to support myself during my studies.
    • Enhance customer experience by multi-tasking roles at the till and on the makeline in a high-pressure environment.
    • Working under pressure in a fast-paced environment whilst remaining professional and delivering excellent customer service.
    • Regularly working additional shifts at short notice to meet the needs of my employer.
    • Coordinate and train new staff, occasionally stepping in to manage the branch in the absence of the manager.

  • Data Analyst

    • Developed and analysed comprehensive reports using R and MS Excel, integrating insights through R Shiny applications and dashboard creation.
    • Debugged and improved existing projects and was part of all phases, starting from data collection and analysis to report generation.
    • Took on a leadership role almost immediately after joining and executed an independent project on Sentiment Analysis alongside ongoing company projects.
    • Demonstrating strong multi-tasking capability by managing the demands of a challenging job alongside studies.

  • Sirpi.io

    • Designed and deployed R Shiny applications and data visualizations, enhancing project deliverables.
    • Synthesized complex data analyses into actional insights using R Markdown and MS Excel.
    • Performed tasks like dashboard creation and data visualization.

  • Data Annotator

    • Data annotation on CVAT tool, working on image classification projects such as number plate detection.