Aniruddha Ghogare
@aniruddhaghogare
Detail-oriented Data Analyst passionate about AI-powered business optimization.
What I'm looking for
I am a detail-oriented Data Analyst with a strong passion for AI-powered business optimization. My experience includes building interactive dashboards and deriving campaign insights using tools like Power BI, SQL, and Python. I excel at analyzing large datasets to uncover patterns that inform strategic decisions, ensuring that businesses can leverage data for growth.
With a solid academic foundation in Data Science and Mathematics, I have practical exposure to media-focused projects and AI internships. My work has involved creating Power BI dashboards, automating insights, and developing visualizations that enhance decision-making processes. I am committed to continuous learning and applying my skills to drive impactful results in any organization.
Experience
Work history, roles, and key accomplishments
Data Analyst
UptoSkills
Apr 2025 - Present (4 months)
Created Power BI dashboards and analyzed campaign-style datasets for insight generation. Derived KPIs to support decision-making in simulated business environments and focused on improving ROI interpretation using real-world business data.
AI Intern
Edunet Foundation
Feb 2025 - Present (6 months)
Built a machine learning solution for "Prediction of Disease Outbreaks" using Python & EDA. Automated insights and developed visualizations that mimic early detection and alert systems applicable to campaign performance analysis.
Education
Degrees, certifications, and relevant coursework
SIES College of Commerce & Economics (University of Mumbai)
Master of Science, Data Science
2023 -
Grade: CGPA: 7.59 | Marks: 68.43%
Pursued a Master of Science in Data Science, achieving a CGPA of 7.59 (68.43% marks). Focused on advanced data analysis techniques and their application in various domains.
Shri Shiv Chhatrapati College, Junnar (Savitribai Phule Pune University)
Bachelor of Science, Mathematics
2020 - 2023
Grade: CGPA: 8.34 | Marks: 73.05%
Completed a Bachelor of Science in Mathematics, with a CGPA of 8.34 (73.05% marks). Developed a strong foundation in mathematical principles and analytical thinking.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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