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Open to Work

Vanlalawmpuia

Building modern, scalable digital experiences.

I analyze complex datasets and build machine learning solutions that turn data into meaningful insights. Experienced with Python, SQL, and modern ML tools, I help businesses make data-driven decisions and solve real-world problems with AI.

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PythonMachine LearningSQLData AnalysisPandasScikit-learn
Selected Work

Projects that
make an impact

Machine LearningData Science

House Market Analysis – Property Price Prediction System

A machine learning system that predicts residential property prices using historical real estate data. The project involved data cleaning, preprocessing, exploratory data analysis (EDA), feature engineering, and training regression models to improve prediction accuracy. The final model was deployed using Flask with a web interface for real-time property price prediction.

Tech Stack

PythonPandasNumPyScikit-learnMatplotlibFlaskHTMLCSSJavaScript
View ProjectGitHubProduction
Data AnalyticsDashboard

Spice Garden Smart Restaurant System

A data-driven restaurant management and analytics platform designed to track customer orders, analyze sales patterns, and generate operational insights. Developed interactive dashboards and visualizations to help administrators monitor performance metrics and support data-driven decision making.

Tech Stack

HTML5CSS3JavaScriptBootstrapChart.js
View ProjectGitHubProduction
Real-timeBackend

Real-time Chat Platform

High-performance team communication platform with end-to-end encryption, file sharing, audio/video calls, and real-time collaboration features — built to scale to millions of concurrent connections.

Tech Stack

ReactSocket.ioExpressMongoDBWebRTC
View ProjectGitHubProduction
E-commerceFull Stack

E-commerce Platform

Fully-featured e-commerce solution with advanced inventory management, real-time sales analytics, multi-vendor support, and seamless Stripe payment integration for global transactions.

Tech Stack

Next.jsStripePrismaPostgreSQLVercel
View ProjectGitHubProduction
About Me — Process Breakdown

How I approach
every project

I’m a data science enthusiast with a strong interest in analyzing complex datasets and transforming them into meaningful insights. My work focuses on data analysis, exploratory data analysis (EDA), machine learning, and predictive modeling using tools such as Python, SQL, Pandas, NumPy, and Scikit-learn.

Through academic projects, I have built data-driven applications such as a property price prediction system and an analytics dashboard for business insights. I enjoy working on real-world problems, applying machine learning techniques, and developing solutions that support data-driven decision-making.

  • Problem Understanding

    Understanding the business problem, defining objectives, and identifying the right data sources. This stage focuses on translating real-world problems into data-driven questions.

  • Data Preparation & Exploration

    Cleaning, preprocessing, and analyzing datasets using techniques like exploratory data analysis (EDA), feature engineering, and statistical analysis to uncover patterns and insights.

  • Model Building & Evaluation

    Training machine learning models using appropriate algorithms and evaluating performance using metrics such as accuracy, precision, recall, and cross-validation.

  • Deployment & Insights

    Deploying models or presenting results through dashboards and applications, enabling data-driven decision making and real-world impact.

Technologies & Tools

PythonSQLPandasNumPyScikit-learnMatplotlibMachine LearningData AnalysisExploratory Data Analysis (EDA)Feature EngineeringStatistical AnalysisHypothesis TestingA/B TestingTableauPower BIDashboard DevelopmentMySQLMongoDBSQLiteFlaskREST APIsGenerative AIRetrieval-Augmented Generation (RAG)Gemini APIJupyter NotebookGitGitHubFlutterAndroid Studio
Open for Business

Let's build
something great

Wondering what great collaboration looks like? Reach out and let's discover how we can work together.

pachuauopa100@gmail.com
GitHubLinkedIn+91 8787589890