Professional Overview
M.Tech graduate in Artificial Intelligence & Machine Learning with strong skills in Python, machine learning, deep learning, data analytics, and NLP. Passionate about solving real-world problems using AI, eager to learn, adapt quickly, and contribute effectively to remote teams.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- I performed data collection, cleaning, EDA, and statistical analysis.
- I used Python, SQL, Excel, and Power BI/Tableau for visualization.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Collected, cleaned, and prepared datasets for analysis.
- Performed exploratory data analysis (EDA) and statistical analysis.
- Used Python, SQL, and Excel for data analysis tasks.
- Built dashboards and visualizations using Power BI/Tableau.
- Applied analytics to solve business problems and support decisions.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Collected, cleaned, and prepared datasets for analysis.
- Performed exploratory data analysis (EDA) and statistical analysis.
- Used Python, SQL, and Excel for data analysis tasks.
- Built dashboards and visualizations using Power BI/Tableau.
- Applied analytics to solve business problems and support decisions.
Education
Field of Study: Artificial Intelligence and Machine Learning
Field of Study: Computer Science and Engineering
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
