Full-Stack Technology Background
I have a wide array of knowledge of many modern technologies used in web application development — from low-level programming to server-side programming (PHP, MySQL, Python, Node.js, PostgreSQL, MongoDB, OrientDB) to client-side programming (ES6, Vue.js) to containerizing application (Docker, LXC) and setting up CI/CD pipelines. With a solid understanding of different software architecture patterns: monolithic, distributed and domain-specific, design patterns and database designing, I could solve the software development and architecture task of any complexity for you.
Data Science Technology Background
I have worked on Apache big data ecosystem: Hadoop, Spark, Hive, Sqoop. I am proficient in R and Python with a specialization in data analysis and machine learning for building predictive models that interpret the data-points to business insights.
- Experience with Big Data Technology:
- Apache Hadoop, HDFS, MapReduce
- Apache Spark
- Apache Hive
- Apache Sqoop
- Python, Scikit-learn, Numpy, Pandas, Scipy, Data
- Visualization – Matplotlib, Seaborn – R, tidyverse, bbplot, high charter
- Web Scraping (Beautiful Soup, Scrapy)
- Architecting Data Pipelines
- Data Analysis –
- Machine Learning –
- Conversion Rate Optimisation (CRO)
- Statistical Modelling
- Graph Theory and Network Analysis
- Text Mining and Sentiment Analysis
I have hands-on skills in digital marketing automation, conversion rate optimization (CRO) [A/B Testing], Web Scraping, API Integration, managing e-commerce feeds for different sales channels. All in all, I could be a one-stop solution for any of your technical needs where you can expect professional communication, project management and supervisory, reasonable deadline and pricing, high-quality delivery with the proper knowledge transfer and I am available most of the time in any timezone to provide any kind of support or answer to any of your queries.