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Data Analyst with less than a year in data cleaning, EDA, visualization, and reporting using Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with strong expertise in data cleaning, exploratory data analysis (EDA), visualization, and reporting using SQL, Python, Power BI, and Excel to identify trends, track KPIs, and improve business performance through data-driven decision-making.
JSS Academy of Technical Education, Noida
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
CBSE
Intermediate
June 1, 2020 – May 31, 2022
CBSE
High School
June 1, 2018 – May 31, 2020
Retail Customer Behavior & Shopping Trends Analysis
June 22, 2026 – Present
Built an end-to-end data analytics pipeline on 50,000+ retail records performing data cleaning, wrangling, and exploratory data analysis (EDA) using Python (Pandas, NumPy). Solved real business problems through advanced SQL queries analyzing customer segmentation, purchase trends, and revenue patterns to generate actionable insights. Designed an interactive Power BI dashboard to track key business metrics including sales trends, revenue, and customer behavior enabling data-driven decision-making.
AI-Based Vegetable Health Monitoring System
June 22, 2026 – Present
Built a UI accepting live or captured images, delivering real-time vegetable freshness analysis. Used YOLOv8 to detect and classify vegetable types, passing detected crops to ResNet50 for freshness prediction. Applied Sigmoid activation to output a freshness score (0-100%), classifying vegetables as fresh or spoiled. Embedded an AI-powered chatbot in the UI allowing users to ask vegetable-related queries in natural language.
Real-Time Web Chat Application
June 22, 2026 – Present
Developed a full-stack real-time chat application using React, Node.js, Express, MongoDB, and WebSockets. Implemented secure authentication with login, signup, logout, and user avatar customization. Built real-time chatrooms with instant message delivery and emoji support for enhanced user experience. Designed a scalable backend architecture with efficient database operations and socket-based communication.
Claude with the Anthropic API
Anthropic
January 1, 2026 – Present
Data Analysis with Python
IBM
January 1, 2026 – Present
AI-based Vegetable Health Monitoring System
IEEE International Conference on Sustainable Engineering and Technology Innovations (ICSETI 2026)
January 1, 2026 – Present
AI-based Vegetable Health Monitoring System
IEEE UP Section
January 1, 2026 – Present
Software Engineering Virtual Experience
JPMorgan Chase & Co.
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from data analytics to AI/ML and full-stack development, indicates a broad interest in technology and a willingness to explore different domains. The 'Retail Customer Behavior & Shopping Trends Analysis' project directly aligns with the Data Analyst target role, showcasing relevant skills and problem-solving approaches. The academic background in Computer Science and Engineering further supports a strong technical foundation. The certifications, including 'Data Analysis with Python' from IBM, reinforce commitment to the data analysis field. The candidate appears to be a proactive learner with a diverse skill set, which could contribute positively to a dynamic team environment.
Soft Skills & Operational Fit
The candidate lists Analytical Thinking, Problem-Solving, Communication, Leadership, and Time Management as soft skills. The project descriptions, particularly the 'Retail Customer Behavior & Shopping Trends Analysis' project, suggest an ability to apply these skills in a practical data analysis context, solving business problems and presenting insights. The 'AI-Based Vegetable Health Monitoring System' also indicates an ability to work on complex, multi-faceted projects.