Manas Kumar

Hi, I’m Manas, an 8th-semester Artificial Intelligence and Data Science student with a strong focus on building a career in Data Engineering.

I am passionate about designing and building scalable data pipelines and data-driven systems that transform raw data into reliable and usable datasets for analytics and business decision-making. My core technical skills include Python, SQL, Advanced Excel, and Power BI, and I am actively developing expertise in data pipeline development, ETL processes, and cloud-based data infrastructure.

I enjoy working on end-to-end data workflows, including data extraction, data cleaning, transformation, and visualization. I also practice Data Structures and Algorithms (DSA) to strengthen my problem-solving skills and prepare for technical interviews in data engineering roles.

My goal is to become a specialist data engineer who can build efficient data architectures, automate data workflows, and support large-scale analytics systems. I am continuously learning new tools and technologies in the data ecosystem to improve my ability to work with large and complex datasets.

I am particularly interested in building reliable data pipelines and scalable data platforms that enable organizations to make data-driven decisions efficiently.

Data Science & Analytics Intern at Zidio Development (2025-06 – Present)

Supporting data team in collection, cleaning, and preprocessing of large datasets with focus on Azure Data Factory and SQL optimization

• Supporting Data Team in collection, cleaning, and preprocessing of large Datasets for analysis
• Developed and deployed data pipelines using Azure Data Factory, streamlining ETL processes and improving data flow efficiency across cloud storage and SQL databases
• Assisted in building scalable data models on Azure SQL Database, and performed exploratory data analysis to support predictive modeling initiatives
• Executed complex SQL queries for data extraction, transformation, and aggregation, enhancing reporting capabilities and business insights

Research and Development Intern at Axis India Machine Learning (2024-05 – 2024-07)

Hands-on experience in data analysis, machine learning, deep learning implementation and development environment management

• Gained hands-on experience in data analysis and machine learning to derive actionable insights from large datasets
• Deep Learning & Python: Gained hands-on experience implementing perceptron models and backpropagation from scratch using Python, NumPy, and Pandas
• Linux, Git & Virtual Environments: Proficient in WSL-based Ubuntu, shell commands, Git/GitHub workflows, and Python project structuring with virtual environments

Artificial Intelligence Intern at Teachnook (2023-06 – 2023-08)

Collaborated on real-world AI projects with focus on data processing, visualization, and business analytics

• Collaborated on real-world Artificial Intelligence projects in partnership with ORBO
• Cleaned, processed, and visualized data using SQL, Python (Pandas, NumPy, Matplotlib, Seaborn), and Power BI
• Collaborated with cross-functional teams to implement data-driven strategies and enhance business performance
• Conducted Data Analysis using Python, Excel and Visualization tools to extract meaningful insights from datasets

Bachelor of Technology in Artificial Intelligence and Data Science – Poornima University (2022 – 2026)