Data Analyst with 1+ years in Python, SQL & Power BI
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Assessing your cultural and operational fit
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)
August 1, 2023 – June 30, 2025
Lucknow University
Bachelor Of Computer Application (BCA)
August 1, 2020 – June 30, 2023
AL AQSA ENTERPRISES PRIVATE LIMITED
Data Analyst
March 1, 2025 – May 31, 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. Tools: Python, OpenCV, Scikit-learn, MySQL, Matplotlib/Seaborn, Excel, Power BI
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. Tools: Python, OpenAI API, MySQL, Matplotlib
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. Tools: Python, Pandas, NumPy, MySQL, Matplotlib, Seaborn
Google Data Analytics Professional Certificate
June 1, 2026 – Present
SQL for Data Science
Coursera
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 academic projects demonstrate a proactive learning attitude and a diverse set of interests within data analysis and machine learning. The professional experience aligns well with the target role of Data Analyst, showing practical application of skills in a business context. The certifications further indicate a commitment to continuous learning and skill development, which is a positive cultural fit for a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, team collaboration, and communication skills through project descriptions and work experience. The ability to automate reports and present data-driven insights indicates a practical and results-oriented approach. The academic projects show initiative and a willingness to explore advanced topics like computer vision and generative AI.