I transform raw data into dashboards, predictive models, and actionable business insights. My work combines analytics, machine learning, data visualization, and practical problem-solving.
A BCA graduate building practical, business-focused solutions with data.
I am a BCA graduate passionate about Data Analytics, Data Science, Machine Learning, Artificial Intelligence, and Python development.
I have worked on projects involving supply-chain analytics, customer churn, stock prediction, IoT monitoring, business dashboards, privacy technology, restaurant analytics, and deep learning.
My goal is to help teams make faster and smarter decisions through reliable analysis, clear visualizations, and measurable insights.
A practical stack for data cleaning, analysis, reporting, visualization, application development, and predictive modelling.
Pandas, NumPy, automation, exploratory analysis, data pipelines, and application logic.
Data extraction, joins, aggregations, KPI reporting, and business queries.
Advanced formulas, PivotTables, MIS reporting, data cleaning, and dashboards.
Interactive dashboards, data modelling, DAX measures, and management reporting.
Classification, regression, forecasting, model evaluation, and feature engineering.
Matplotlib, Plotly, storytelling, executive charts, and insight communication.
Interactive analytics applications, filters, KPI cards, and cloud deployment.
LSTM, transfer learning, ResNet-50, model experimentation, and AI prototypes.
Version control, repository management, documentation, and GitHub Pages deployment.
Live applications and repositories that demonstrate analytics, machine learning, dashboards, AI, and software development.
Delivery performance, delay-risk, regional bottleneck, shipping-mode, and logistics-efficiency analysis for global supply-chain operations.
AI-powered privacy and risk-scanning prototype designed to identify potentially sensitive content and support safer digital workflows.
Operational analysis of transfer efficiency, inflow, discharge, backlog accumulation, placement outcomes, and bottleneck periods.
Excel-based business reporting solution for sales, profit, regional performance, KPI tracking, and management decision support.
Historical market analysis and forecasting project using LSTM and machine-learning algorithms on NIFTY data.
Churn analysis focused on customer characteristics, risk patterns, service usage, segmentation, and retention opportunities.
Analysis of customer purchasing behaviour, trends, segments, and product preferences for better commercial decisions.
IoT-based monitoring system for tracking water levels, reducing overflow, and supporting smarter water management.
Deep-learning project using transfer learning and ResNet-50 for efficient image-classification experimentation.
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