Programming
Core languages used across analysis, systems, and application work.
- Python
- SQL
- Java
- C++
Hello, I'm
Lakshith S Lokesh
Data Science | Machine Learning | Data Analytics
I build data-driven applications, machine learning solutions, analytics systems, and intelligent web experiences that turn complex information into useful products.
How I Work
From data to usable solutions
- 01UnderstandDefine the problem, objectives, and available data.
- 02AnalyzeExplore patterns, relationships, quality issues, and useful signals.
- 03ModelBuild and evaluate machine-learning solutions when they add value.
- 04BuildTurn insights and models into practical applications and interfaces.
- 05DeliverCommunicate results through dashboards, reports, and deployable products.
Data → Insight → Model → Product
About
Who I am & what I build
I got into data because I wanted to understand why things happen, not just that they did. That curiosity led me to build systems that turn data and ideas into solutions people can actually use — from predicting student outcomes to planning trips with AI agents. I'm currently pursuing my MSc in Data Science at Chanakya University while building projects that sit at the intersection of machine learning, analytics, and real products.
Skills
Tools & technologies I work with
A practical stack spanning data science, machine learning, analytics, backend development, and modern web applications.
Data Science & Machine Learning
Practical tooling for exploration, modeling, interpretation, and preprocessing.
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- SHAP
Methods
- Predictive Modeling
- Exploratory Data Analysis
- Data Preprocessing
- Feature Engineering
- Model Evaluation
Data Engineering & Analytics
Databases, distributed processing, and analytical workflows.
- Apache Spark
- PySpark
- PostgreSQL
- SQLite
Methods
- Data Visualization
- Statistical Analysis
Web & Application Development
Frameworks for building modern interfaces, APIs, and data apps.
- Next.js
- React
- TypeScript
- FastAPI
- Flask
- Streamlit
- Tailwind CSS
AI & LLM Tools
Tools for building and experimenting with intelligent application workflows.
- LangChain
- LangGraph
- OpenAI API
- Groq
- Ollama
Tools & Platforms
Development, notebook, hosting, and deployment environments.
- Git
- GitHub
- VS Code
- Jupyter Notebook
- Supabase
- Render
- Vercel
- Streamlit Community Cloud
Selected Work
Featured projects
A selection of data science, machine learning, analytics, and full-stack applications built around practical problems.
Full-Stack AI ApplicationFeatured / Flagship
AI Smart Travel Planner
Full-stack intelligent travel planning platform using a multi-agent LangGraph workflow to generate personalized itineraries. Features user authentication, saved trips, live provider integrations, PDF export, and shareable itinerary links — built end-to-end with Next.js, FastAPI, and PostgreSQL.
- Next.js
- React
- TypeScript
- FastAPI
- Python
- PostgreSQL
- SQLAlchemy
- +4 more
Data Analysis ApplicationFeatured
AutoInsight - Intelligent Dataset Analyzer
Upload a CSV and get an automated end-to-end analysis — including dataset profiling, exploratory data analysis, visualizations, data-quality assessment, machine-learning recommendations, and a downloadable professional PDF report. Designed to analyze a wide range of CSV datasets with minimal configuration.
- Python
- Streamlit
- Pandas
- Plotly
- Scikit-learn
- ReportLab
Analytics Platform
Job Market Analytics Portal
Full-stack analytics platform built around a PostgreSQL job-market database. Enables skill-gap analysis, in-demand skill tracking, job filtering, and market-trend exploration — helping users understand skills and patterns across the job market.
- Python
- Flask
- PostgreSQL
- SQLAlchemy
- Bootstrap
- +1 more
Machine Learning Application
Career Recommendation System
Machine-learning application that maps user skills to suitable career paths using a trained classification model, SHAP-style explainability, and Groq-powered AI guidance to make recommendations easier to understand and act on.
- Python
- Scikit-learn
- Streamlit
- SHAP
- Groq
Analytics Dashboard
Commerce Data Insights Dashboard
Interactive e-commerce analytics dashboard covering sales KPIs, product performance, revenue trends, and demand forecasting. Uses a SQLite backend with dynamic Plotly visualizations to make business data easier to explore and understand.
- Python
- Streamlit
- SQLite
- Pandas
- Plotly
- +1 more
Predictive ML Application
Student Score Predictor
Machine-learning application for predicting student academic performance using regression models, with SHAP explainability features that help show how factors such as study habits, sleep, previous academic performance, and practice patterns influence predictions.
- Python
- Pandas
- Scikit-learn
- Streamlit
- SHAP
Education
Academic foundation
A focused academic path across computer applications, data analytics, and current postgraduate study in data science.
Master of Science (MSc) in Data Science
Chanakya University
Bengaluru
Current
Bachelor of Computer Applications (BCA)
Specialization in Data Analytics
Jain (Deemed-to-be University)
Bengaluru
Completed
Contact
Let's connect
I'm open to opportunities, collaborations, and conversations around data science, machine learning, analytics, and data-driven applications.
Open to full-time roles, internships, and project collaborations in Data Science, Machine Learning, and Data Analytics — available for remote and on-site opportunities.
Bengaluru, India
Data Science | Machine Learning | Data Analytics