Skills
My technical foundation and current learning journey.
My technical foundation and current learning journey.
This page summarises my core competencies and the tools I wield across data science, analytics, machine learning, business intelligence and the cloud. The cards below showcase the breadth of my expertise – from NLP and deep learning to data analysis, SQL, BI and cloud platforms.
I have hands‑on experience with tasks like sentiment analysis, text classification, named entity recognition and chatbots. On the deep learning side, I work with CNNs, RNNs, autoencoders and reinforcement learning to build intelligent systems.
My machine learning toolkit includes supervised and unsupervised algorithms such as linear and logistic regression, decision trees, random forests, K‑means clustering, PCA and LDA. I model and predict outcomes for varied business problems.
I analyse and manipulate data using Python libraries like NumPy, Pandas and Seaborn. I also have basic proficiency in R and build web scrapers using Selenium, BeautifulSoup and Scrapy. For API‑based data extraction I use JavaScript.
I manage and query relational databases using SQL for data extraction, manipulation and analysis. My experience covers systems such as MySQL and Microsoft SQL Server.
I create interactive dashboards and reports using Amazon QuickSight, Microsoft Power BI and Tableau to communicate insights effectively.
I apply descriptive and inferential statistics, probability theory, advanced Excel and VBA to summarise data. Strong written and verbal communication skills help me convey findings clearly.
I am expanding my capabilities with MLOps on Microsoft Azure, computer vision, front‑end development using HTML, JavaScript, jQuery and Bootstrap, and back‑end development with Python Django.
My toolkit includes frameworks and libraries like SpaCy, TensorFlow, PyTorch, Python, NumPy, SciPy, Matplotlib, Pandas, Scikit‑learn, Selenium, BeautifulSoup, JavaScript, R, Amazon QuickSight, Power BI, Tableau, MySQL and Oracle DB.
I build and manage scalable data pipelines and analytics solutions using AWS services such as S3, Redshift, Glue, Lambda and QuickSight. From ingesting and transforming raw data to deploying forecasting models and dashboards, I leverage cloud‑native tools to deliver end‑to‑end analytics in production.