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Data Analyst with 1+ years in Data Analysis & Business Intelligence
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Aspiring Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI, specializing in data cleaning, visualization, and exploratory data analysis. Built projects involving user behavior analysis and ML-based image systems, improving model accuracy and deriving actionable business insights. Strong understanding of data-driven decision-making and eager to contribute in a real-world environment.
Amity University Uttar Pradesh
Master Of Computer Application (MCA) · Computer Application
August 1, 2023 – June 30, 2025
Lucknow University
Bachelor Of Computer Application (BCA) · Computer Application
August 1, 2020 – June 30, 2023
AL AQSA ENTERPRISES PRIVATE LIMITED
Data Analyst
March 1, 2025 – May 1, 2026
New Delhi, Delhi, India
Image Recognition System with Integrated Analytics Pipeline
June 1, 2026 – Present
Built an image classification model using Python on a dataset of 12,000 images, achieving ~80% validation accuracy. Performed data preprocessing, feature extraction, and model training to improve classification performance. Applied data augmentation and hyperparameter tuning to enhance model robustness and generalization. Stored and managed image metadata and results in MySQL for efficient retrieval and analysis. Created visualizations (accuracy trends, confusion matrix) to evaluate model performance and support insights. Built and trained a Computer Vision model (using Python & OpenCV) to classify image datasets with high precision. Designed a relational schema to store real-time model inferences, confidence intervals and metadata. Wrote complex SQL queries, joins, and indexing to analyze model latency and filter low-confidence predictions. Utilized Advanced Excel (VLOOKUP Pivot Tables, Conditional Formatting) to audit data integrity and clean null values. Performed statistical data validation and created ad-hoc error matrices (Confusion Matrix calculations) to test mode reliability. Developed a dynamic Power BI dashboard implementing DAX formulas to calculate Rolling Accuracy and Error Rates. Created interactive charts (KPI cards, trendlines, and matrix views) to present classification performance to non-technical stakeholders.
Image Generation Using OpenAI Techniques
June 1, 2026 – Present
Developed a generative AI solution using OpenAI APIs to create synthetic images from text prompts. Applied prompt engineering techniques to improve output quality, consistency, and relevance. Stored generated outputs and prompt logs in MySQL for tracking and reuse. Built basic visual dashboards (charts/plots) to analyze prompt effectiveness and output patterns.
User Interaction Analysis on Image Recognition
June 1, 2026 – Present
Analyzed user interaction data (~5,000+ records) using Python (Pandas, NumPy) to identify usage patterns and performance bottlenecks. Performed exploratory data analysis (EDA) and built visualizations (user trends, session patterns, error rates). Queried and managed structured data using MySQL (joins, aggregations) for analysis. Generated actionable insights to improve user experience and optimize system efficiency. Created visual reports using Matplotlib/Seaborn for stakeholder understanding.
SQL for Data Science
Coursera
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Crash Course on Python
June 1, 2026 – Present
Python with Machine Learning
Make Career Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a proactive learning approach and interest in diverse data analysis applications, from image recognition to retail sales. The certifications indicate a commitment to continuous learning. The experience in a Data Analyst role aligns well with the target role, suggesting a good cultural fit for a data-centric team.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, and communication as soft skills. Project descriptions indicate an ability to present insights to stakeholders, suggesting good communication. The diverse project portfolio and work experience in a retail setting suggest an ability to adapt to different operational contexts.