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Data Analyst with less than a year in Data Analysis & Visualization
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Assessing your cultural and operational fit
Suhani Prajapati is an enthusiastic Data Analyst with 6 months of professional experience, adept at optimizing SQL queries, performing end-to-end data cleaning, and creating insightful dashboards. Her skills span Python, SQL, Power BI, and Machine Learning basics, enabling her to deliver actionable insights and improve reporting efficiency. She has hands-on project experience in AI-based medical diagnosis and expense tracking, complemented by certifications in Google Analytics and AI fundamentals.
LDRP Institute of Technology and Research
B.E. in Computer Engineering · Computer Engineering
June 1, 2022 – May 1, 2026
Softqube Technologies Private Limited
Data Analyst
December 1, 2025 – March 1, 2026
India
IBM SkillsBuild
AI & Cloud Technology Virtual Intern
September 1, 2025 – October 1, 2025
India
AI-Based Medical Diagnosis Assistant
June 12, 2026 – June 12, 2026
Developed an AI system with symptom-based disease prediction using machine learning, achieving 85%+ confidence scores on test cases for preliminary health assessment. Integrated a medical chatbot (NLP-powered) and image analysis module, reducing user query resolution time and enabling multi-modal diagnosis support.
Expense Tracker – Python CLI App
June 12, 2026 – June 12, 2026
Built a command-line data pipeline using Pandas to ingest, clean, and categorize expense records stored in CSV format with filtering and search functionality. Generated analytical visualizations (bar, pie, trend charts) using Matplotlib, providing clear insights into spending patterns across categories and months.
Google Analytics Certification
Google Skillshop
June 12, 2026 – Present
Python for Data Science
NPTEL
June 12, 2026 – Present
Introduction to Generative AI
AWS Training & Certification
June 12, 2026 – Present
Deloitte Data Analytics Virtual Experience
Forage
June 12, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning new technologies (AI, NLP). The mix of academic, internship, and short-term professional experience, along with multiple certifications, shows a strong drive for continuous learning and skill development. The projects are diverse, ranging from medical diagnosis to expense tracking, indicating adaptability. The target role of Data Analyst aligns well with the candidate's experience and stated skills.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate an ability to work with data, analyze problems, and present findings. The focus on reducing manual effort and improving efficiency suggests a results-oriented approach. However, specific soft skills like teamwork, leadership, or problem-solving under pressure are not explicitly detailed in the provided data.