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Data Analyst with less than a year in data analysis and visualization.
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Assessing your cultural and operational fit
Priya Jyot is an aspiring Data Analyst with 4 months of internship experience, specializing in data cleaning, preprocessing, transformation, and interactive dashboard creation using Python, SQL, and Power BI. She has a strong foundation in machine learning and natural language processing, demonstrated through projects like a Weather Dashboard and a Comment Sentiment Analyzer. Currently pursuing a B.Tech in Computer Science, Priya is adept at visualizing business metrics and supporting data-driven decision-making.
Shaheed Bhagat Singh State University
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
ZIDIO Development
Data Analyst Intern
June 1, 2024 – September 1, 2024
India
Weather Dashboard
June 1, 2024 – June 30, 2026
Developed an interactive Weather Analytics Dashboard using Power BI and WeatherAPI to monitor real-time weather conditions, AQI levels, and weekly forecasts. Implemented dynamic visualizations and trend analysis for enhanced weather data interpretation.
View ProjectMulti-Agent Market Research
June 1, 2024 – June 30, 2026
MarketMind AI simulates how real marketing intelligence teams collaborate using specialized AI agents powered by Groq (fast cloud LLMs), a modern Streamlit dashboard, and lightweight orchestration inspired by LangChain/CrewAI patterns.
View ProjectComment-Analyzer
June 1, 2024 – June 30, 2026
Developed an NLP-based Comment Sentiment Analysis application using Machine Learning and Natural Language Processing techniques to classify comments into positive, negative, and neutral sentiments. Implemented TF-IDF/CountVectorizer with real-time sentiment prediction support.
View ProjectData Analysis with Python
IBM Skills Network
January 1, 2025 – Present
SQL and Relational Databases 101
IBM Skills Network
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate initiative and a proactive approach to learning new technologies (e.g., Groq LLMs, Streamlit, LangChain/CrewAI patterns). The 'Multi-Agent Market Research' project shows an interest in cutting-edge AI applications, which could be a good fit for an innovative team. However, the experience level is entry-level, and the projects are personal, which might require more mentorship in a professional team setting. The 'Member of Compuwave Society' activity indicates some experience in event organization and management, suggesting teamwork and organizational skills.
Soft Skills & Operational Fit
The candidate's resume mentions 'Problem-Solving, Communication, Collaboration' as soft skills. The project descriptions indicate an ability to work on diverse data-related tasks, suggesting adaptability. The internship experience shows practical application of data analysis skills in a business context.