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Data Science with less than a year in Data Analysis & Problem-solving
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
MBA graduate in Business Analytics with an IT background, skilled in data analysis, problem-solving, client communication, and team coordination. Interested in Project Management, Business Development, and Business Analytics roles, with the ability to support project execution, manage stakeholder communication, and contribute to business growth through data-driven insights and strategic thinking.
Ganpat University
MBA · Business Analytics
August 1, 2024 – June 30, 2026
Government Engineering College, Bhavnagar
BE · Information Technology
August 1, 2021 – June 30, 2024
Sir Bhavsinhji Polytechnic Institute
Diploma · Information Technology
August 1, 2018 – June 30, 2021
SAS Global Certified Associate: Programming Fundamentals Using SAS 9.4
SAS Global
June 1, 2026 – Present
SAS Award for Best summer internship during SAS Summer Project
SAS
May 1, 2025 – Present
SAS Award for Best Presentation during SAS Summer Project
SAS
May 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse educational background (IT and Business Analytics) and project experience (ranging from educational management systems to AI recommendation systems and sentiment analysis) suggest adaptability and a broad interest in applying data science across different domains. The awards from SAS for best internship and presentation indicate a proactive and achievement-oriented mindset, which aligns well with a performance-driven culture. The blend of technical and business skills also suggests a candidate who can bridge the gap between technical implementation and business strategy, fostering cross-functional collaboration.
Soft Skills & Operational Fit
The candidate lists strong soft skills including Stakeholder Communication, Problem-solving skills, Presentation Skills, Data-Driven Decision Making, Team Collaboration, and Adaptability and Quick Learning. These are highly valuable for a Data Science role, especially in communicating insights and collaborating on projects. The profile indicates an interest in Project Management, Business Development, and Business Analytics, suggesting a good operational fit for roles requiring both technical and strategic contributions.