Professional Overview
Inquisitive by nature, always eager to explore and learn new things, I intend to use my knowledge of Machine Leaning and Data Science to offer solutions to real world problems.My key technical skills include:- Proficiency in Python- SQL- Prompt Engineering- Exploratory Data Analysis : NumPy, Pandas, SciPy- Data Visualization : Matplotlib, Seaborn- BI Tools - Tableau- Data Modelling : Sklearn, Tensorflow- Frameworks : Streamlit- Machine Learning Algorithms - Linear Regression, Logistic Regression, KNN, SVM, Decision Trees, Random Forest, XGBoost, Naive Bayes.- Deep Learning and Neural Networks- Cloud ComputingSoft Skills:- Excellent communication skills- Time management- Critical thinking- Fast learner
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
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.
