Hello, I'm Durgesh Maurya
I am a BCA student specializing in Data Science, Data Analytics, and Machine Learning. I enjoy transforming raw data into meaningful insights and building intelligent applications that solve real-world problems. My focus is on developing production-ready AI solutions while continuously strengthening my software engineering skills. I believe that consistent learning, practical implementation, and disciplined engineering are the keys to becoming an exceptional Data Scientist.
Engineering Mindset & Strategic Goals
BCA student at Drona College of Education and Technology (Kumaun University, Nainital). Passionate about Data Science, Machine Learning, Data Analytics, and building clean, production-ready AI applications.
Core Mission
To build intelligent AI systems that solve real-world problems through data, machine learning, and scalable software engineering.
Career Goal
My goal is to become a Data Scientist capable of designing end-to-end AI solutions, building scalable machine learning systems, and helping organizations make better decisions through data-driven intelligence.
Learning Philosophy
I believe learning happens by building real-world projects rather than only studying theory. Every project teaches architecture, problem solving, debugging, deployment, and software engineering principles that cannot be learned from books alone.
Core Engineering Pillars
Data Science & Analytics
Extracting actionable intelligence through clean exploratory data analysis, statistical modeling, and data-driven insights.
Machine Learning Engineering
Designing, training, and evaluating robust supervised and unsupervised models with algorithmic rigor.
AI Application Development
Building production-ready AI solutions and serving ML models via clean web APIs and interactive interfaces.
Software Engineering Discipline
Adhering to strict code quality standards, practical implementation, and continuous learning.
Skills & Technologies
Categorized technology stack across Data Analysis, Machine Learning, Deep Learning, Cloud, and Software Engineering workflow.
Programming Languages5 Tech
Data Analysis & Visualization8 Tech
Machine Learning9 Tech
Deep Learning & AI4 Tech
Backend & Deployment4 Tech
Databases3 Tech
Cloud & DevOps7 Tech
Data Science Workflow7 Tech
Machine Learning Case Studies
Explore end-to-end Machine Learning pipelines, predictive analytics models, and interactive data applications built with real-world datasets.
Toxic Comment Detection
NLP-driven classification pipeline for automated online content moderation
Multi-label text classification system built to identify toxic, obscene, threatening, and insulting online comments using natural language processing techniques.
Credit Card Fraud Detection
Anomaly detection system tailored for highly imbalanced financial transactions
Financial anomaly detection model leveraging advanced sampling techniques and probabilistic classifiers to flag fraudulent credit transactions.
Olist Customer Intelligence & Event Gateway
Dual-pipeline machine learning & real-time ops alerting system on 100k+ marketplace orders
Production-grade dual-pipeline machine learning platform predicting pre-dispatch logistics friction and first-order VIP repeat propensity with automated Discord ops alerting.
Education Journey
Foundational computer science degree curriculum combining theoretical principles with modern technology application.
Bachelor of Computer Applications (BCA)
Expected Graduation: 2027
Certifications & Credentials
Industry certifications validating specialization in data science, predictive analytics, and Python workflows.
What is Data Science?
IBM (via Coursera)
Issued: jan 2026 • ID: 7YEQLNCIDTVH
Tools for Data Science
IBM (via Coursera)
Issued: jan 2026 • ID: 4RNFQ2OZGJAK
Data Science Methodology
IBM (via Coursera)
Issued: feb 2026 • ID: S32LUIBCCC2F
Python for Data Science, AI & Development
IBM (via Coursera)
Issued: mar 2026 • ID: UOUPZ6875LP1
Databases and SQL for Data Science with Python
IBM (via Coursera)
Issued: mar 2026 • ID: E575KMT4GE5U
Data Analysis with Python
IBM (via Coursera)
Issued: may 2026 • ID: RXG9OV7F6SF7
Machine Learning with Python
IBM (via Coursera)
Issued: Jul 2026 • ID: 5UTXDGLZ87DJ
Convolve 4.0 - A Pan-IIT AI/ML Hackathon
Consulting & Analytics Club, IIT Guwahati
Issued: Jan 2026 • ID: 581fbad3-1e20-4cc8-9fb2-1f0612e4670a
Professional Resume
Download or preview the official technical resume outlining academic history, machine learning projects, and technical proficiencies.
Durgesh Maurya — Technical Resume
Complete overview engineered for recruiters, technical hiring managers, and internship coordinators. Features detailed breakdowns of ML methodologies, tools, and project outcomes.
Get In Touch
Interested in hiring, internship opportunities, or technical collaboration? Send a direct message.
Let's Connect
I am actively seeking Data Science and Data Analytics internship opportunities to apply my technical skills in real-world environments. Passionate about Machine Learning, AI engineering, and data-driven problem solving, I am always open to collaboration and learning from experienced engineering teams. Feel free to reach out to discuss potential roles, ideas, or technical projects.