Yash Nitin Nagarkar
@yashnitinnagarkar
Detail-oriented entry-level Data Analyst passionate about actionable insights.
What I'm looking for
I am a detail-oriented and analytical entry-level Data Analyst with a passion for transforming complex data into actionable insights. My experience includes data cleaning, processing, and visualization, underpinned by a solid foundation in Python, SQL, and various data visualization tools. I thrive on identifying trends and optimizing data processes to support informed business decisions.
During my time as a Junior Data Analyst at Fortray Global Services, I collected, cleaned, and analyzed data from diverse sources, developing dashboards and reports that effectively communicated data trends. My projects, such as creating a dynamic sales dashboard using Tableau and an automated employee performance report with MySQL, have honed my skills in data analysis and visualization, achieving significant improvements in performance metrics.
I am committed to continuous learning and professional development, currently pursuing multiple certifications in data analysis tools and techniques. I am eager to leverage my skills in a dynamic organization that values data-driven strategies and solutions.
Experience
Work history, roles, and key accomplishments
Junior Data Analyst (Trainee)
Fortray Global Services
Aug 2024 - Apr 2025 (8 months)
Collected, cleaned, and analyzed data from diverse sources to support business decisions and provide actionable insights. Developed and maintained dashboards, reports, and visualizations using tools like Excel, Power BI, and Tableau. Collaborated with cross-functional teams to understand data requirements and deliver relevant analytical solutions.
Graduate Research
University of Hertfordshire
Jan 2022 - Feb 2023 (1 year 1 month)
Developed and validated predictive models for cyclone formation using historical weather data, enhancing forecasting accuracy by 25% and achieving 80% model accuracy. Utilized R programming for data analysis and visualization, optimizing data-driven insights and model performance. Conducted independent research on legal, ethical, professional, and social challenges related to data use in IT compan
Education
Degrees, certifications, and relevant coursework
University of Hertfordshire
Master of Science, Artificial Intelligence and Robotics
Developed and validated predictive models for cyclone formation, enhancing forecasting accuracy by 25%. Utilized R programming for data analysis and visualization, optimizing data-driven insights and model performance. Conducted independent research on legal, ethical, professional, and social challenges related to data use in IT companies.
G. H. Raisoni College of Engineering (Autonomous)
Bachelor of Engineering, Computer Science
Studied core principles of computer science, including programming languages, data structures, and algorithms. Gained foundational knowledge in software development and system design.
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