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Data Science with less than a year in Machine Learning, Data Visualization & Power BI
Highly motivated and results-driven individual pursuing an M.Sc. in Data Science, with practical experience as a Lead Data Analyst intern and Data Analyst intern. Possessing a strong foundation in Python, Machine Learning, Data Visualization, and Power BI, I am adept at data processing, cleaning, and building predictive models. My project work includes developing a crop yield prediction model with 97% accuracy, a Zomato dashboard using Power BI, and an image recognition system with computer vision, demonstrating a keen interest and capability in leveraging data for insightful solutions.
GSFC University
M.Sc. · Data Science
August 1, 2024 – June 30, 2026
The Maharaja Sayajirao University of Baroda
BSC · STATISTIC - SCIENCE
August 1, 2021 – June 30, 2024
SHREE CHHOTUBHAI A. PATEL LEARNING INSTITUTE, Bharuch
12th · GSEB
June 1, 2021 – May 31, 2021
MADHAV TAPOVAN VIDHYALAY, DHAMDOD
10th · GSEB
June 1, 2019 – May 31, 2019
GUIITAR COUNCIL
Lead Data Analyst
May 1, 2025 – May 31, 2025
India
REWAMP DIGITAL
Data Analyst
December 1, 2024 – January 9, 2025
India
CROP YIELD PREDICTION USING THE MACHINE LEARNING
May 1, 2025 – May 31, 2025
IN THIS PROJECT WE HAVE CREATE THE MODEL TO CAPABLE TO PREDICTION CROP YIELD WHITH MODEL ACCURACY 97% IIN THIS PROJECT WE HAVE LEARN ABOUT HOW TO MODEL TRAIN AND TEST AND IMPROVE KNOWLEDGE ABOUT THE AIML AND MACHINE LEARNING
CREATE ZOMATO DASHBORD USING POWER BI
March 1, 2025 – April 25, 2025
IN THIS PROJECT MAIN OBJECTIVE WAS TO DEVELOP A POWER BI DASHBOARD USING REAL WORLD DATA SET. KEY TASK INCLUDED DATA CLEANING,DATA PROCESSING AND BUILDING INSIGHTFUL VISULIZATIONS USING DAX FORMULAS
IMAGE RECOGNITION USING A COMPUTER VISION
September 1, 2024 – November 1, 2024
IN THIS PROJECT I HAVE LERAN ABOUT WHAT IS IMAGE AND COMPUTER VISION IN THIS PROJECT WE HAVE CREATE MODEL AND TRAIN THE MODEL TO RECOGNITION PERSON USING CV
Python Essentials 1
Unknown
July 30, 2058 – Present
Introduction to Modern AI
Unknown
July 30, 2054 – Present
Applied Accelerated Artificial Intelligence
NPTEL
July 15, 2025 – October 25, 2025
Cultural Fit Analysis
The candidate's academic projects and internships show a breadth of exposure to different data science applications (agriculture, business intelligence, computer vision). The target role is Data Science, which aligns with the candidate's educational background and project focus. However, the experience level is 0, and the internships are short-term, suggesting a very junior profile. The project descriptions are somewhat generic, making it hard to gauge deeper engagement or initiative, which are important for cultural fit in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an interest in practical application of data science concepts. However, the descriptions lack detail regarding problem-solving approaches, challenges faced, and specific contributions, which makes it difficult to assess operational fit and soft skills like critical thinking or collaboration beyond basic participation. The communication clarity in descriptions is also a concern.