GhostSpot
Geospatial Risk Analysis
Uses spatial and business data to study commercial locations and predict closure-risk probabilities through a machine-learning workflow.
GitHub ↗
I build practical software with Python, APIs, databases, and web technologies, while developing my skills in DSA, data, and core computer science. I enjoy understanding how things work and turning what I learn into real projects.
Nishant@dev:~$
whoami
building · learning · documenting
I’m a Computer Science Engineer specializing in Data Science who enjoys building software, solving problems, and understanding how technology works behind the code. I like moving between different parts of development — from writing algorithms and backend logic to working with APIs, databases, data and automation.
My foundation is built around Python, C++, Data Structures & Algorithms, OOP, DBMS, Operating Systems, Computer Networks and Linux. Alongside these fundamentals, I work with SQL, PostgreSQL, MySQL, Flask, REST APIs, Git and GitHub, with hands-on experience in Pandas, NumPy, Scikit-learn, data analysis and AI-powered applications.
Most of my learning happens by building. Projects like GhostSpot, NOVA, recLog, Habit Flow Engine and Algorithm Analyzer have helped me explore different sides of software — including backend development, APIs, geospatial data, machine learning, automation, algorithms and application development.
log(Nishant) is another part of that process. I use it to document what I learn, break down concepts and share my problem-solving approach through technical writing. I also publish on platforms such as DEV and Medium. Writing helps me understand a topic better because explaining something clearly forces me to understand it properly.
Beyond individual projects, my experience as a Microsoft Learn Student Ambassador has given me opportunities to organize technical events, engage with developer communities and help other students learn and build. Right now, I’m focused on becoming a stronger software engineer while continuing to grow across backend development, data, AI, automation, problem solving and core computer science.
DSA · Core CS · Software Engineering · Python · Backend · Data & AI
Geospatial Risk Analysis
Uses spatial and business data to study commercial locations and predict closure-risk probabilities through a machine-learning workflow.
GitHub ↗AI Assistant
A Python-based assistant exploring speech recognition, AI responses, external APIs and text-to-speech workflows.
GitHub ↗Automated Content Sync
Automates the flow of technical writing between a Dev.to publishing workflow and a personal portfolio using Python and GitHub Actions.
GitHub ↗Productivity Project
A personal software project focused on turning habit-building ideas into a structured, trackable workflow.
GitHub ↗Python / Algorithms
A Python project built around analysing algorithmic behaviour and making problem-solving concepts easier to inspect and understand.
GitHub ↗HTML / CSS / JavaScript
The personal portfolio you're viewing — designed to present my projects, technical skills, writing, certifications and the work behind them.
GitHub ↗A practical walkthrough of semantic HTML, Bootstrap, responsive design, dark/light mode, project cards and deployment.
Read article ↗Learning to recognize the MCM skeleton and reuse the same interval-DP reasoning for related problems.
Read article ↗Breaking an interval problem into left and right partitions, then turning the recurrence into memoized DP.
Read article ↗How the MCM structure changes when the task becomes counting valid boolean evaluations.
Read article ↗
Microsoft
Microsoft Learn
Microsoft
Amazon Web Services
Amazon Web Services