Hi, I am Kabir
Currently studying at
Carnegie Mellon University,
Class of 2025
A curious problem solver who loves turning data into real-world impact. With a background in software engineering, information systems, and DevOps, I've worked across the stack — but lately, my passion has leaned toward data science and building intelligent systems. Whether it's designing a clean data pipeline, training a predictive model, or visualizing insights that help drive decisions, I enjoy combining technical depth with practical problem-solving. Always learning, always building.
Let’s team up and create something meaningful.
02+
Years
Experience
10+
Projects
Completed
About Me
Who am II'm a Data-Driven and Curious Software Engineer
I build smart, efficient systems with a growing focus on data science. From crafting clean code to extracting insights from messy datasets, I love solving real-world problems with tech. Always learning, always building — and always up for a new challenge.
Know MoreTechnologies I've been working with:
Data Science Libraries
- Pandas, Numpy
- Scikit-learn
- Mesa (Agent-Based Modeling)
- Matplotlib, seaborn
Machine Learning
- Regression Analysis
- Time-Series Forecasting
- Model Evaluation & Optimization
- Feature Engineering
Tools & Technologies
- Power BI
- Jupyter Notebook
- MS Office Suite (Word, Excel, PowerPoint)
- Git/Github
- AWS
- Docker
- Blockchain
Programming Languages
- Python
- Java
- C++
- SQL
Qualification
Education & ExperienceEducation
Carnegie Mellon University -
Masters in Information System Management
As a computer science student, I have a strong foundation in Data Structures & Algorithms, Software Design, and Development. My coursework has provided me with a deep understanding of the principles and practices of computer science, and I have honed my programming skills through various projects and assignments.
August 2024 - December 2025Manipal University Jaipur -
B.Tech in Computer and Communication Engineering
I'm a graduate of the ALX software developer training program, where I gained hands-on experience in developing and designing software solutions. This intensive training provided me with a solid foundation in software development, learning the fundamentals and building projects using the MERN stack.
June 2017 - June 2021Professional Experience
Accenture - Custom Software Engineering Associate
• Enhanced cloud-based DevOps workflows for enterprise clients, improving system performance and reliability.
• Built and maintained CI/CD pipelines, reducing infrastructure costs by 10%.
• Cleaned and preprocessed customer engagement data to drive accurate business insights.
• Deployed scalable infrastructure using Terraform and AWS, applying Infrastructure-as-Code principles.
• Researched emerging technologies to boost system efficiency and ensure data integrity.
Accenture - Associate Software Engineer
• Modernized legacy infrastructure using Terraform, AWS, and Docker, reducing deployment time by 30%.
• Built and optimized data pipelines for smooth UI/API integrations.
• Followed Agile DevOps practices to accelerate software delivery and minimize downtime.
• Ensured uninterrupted data availability, reducing outages to under 24 hours.
Celebal Technologies - Data Engineer (Internship)
• Built a demand forecasting model with 86% accuracy using historical sales data.
• Compared multiple ML algorithms to identify the most robust and accurate approach.
• Cleaned datasets, handled missing values, and removed low-impact features to improve model performance.
• Developed a Power BI dashboard that visualized trends and enabled strategic business decisions.
Services
What I doData Science
Machine Learning
Development
Cloud & DevOps Engineer
Projects
My recent work
Demand Forecasting
My research paper in the field of Demand Forecasting, published in IOP Science Journal
View Project
Stock Market Prediction Using LSTM
Built a deep learning model with LSTM to forecast stock prices using historical time-series data.
View Project
Age and Gender Prediction
This is a Keras implementation for estimating the age and gender of a person through a real-time webcam.
View Project