Passionate and curious about data and research. Obsessive learner.

I'm a software engineer who found his true passion in machine learning & statistical modelling. In my work as an engineer, I've had to use a lot of counter-intuitive analytics's recommendation application. Curious as to why these applications worked the way they do, I started teaching myself how to find pattern & prediction from the data. Almost immediately, I knew this is what I wanted to do with my life! I love the combination of maths, business and IT skills I get to use when writing code. And I love how there's always more to learn!

Skills:
(A) ANALYTICS:
• Different Statistical Modelling & Machine Learning techniques in R.
• Business Discovery & Data Sourcing • Data Preparation & Cleaning
• Hypothesis testing - Parametric & Non-parametric tests (Chi-square, and ANOVA)
• Liner, Logistic & Multinomial Logit Regression
• Classification & Regression Tree • Cluster Analysis
• Principal Components/Factor Analysis • kNN Algorithm
• Forecasting and Time Series
• Social Network Analysis (SNA) & Natural Language Processing (NLP)
• Association Rules/ Affinity Analysis • Artificial Neural Networks
• Parallel processing with R • Data Stories & Visualization
• Languages – R & SAS (proc means, proc freq, proc report, proc univariate and Macros)

(B) BA / TESTING:
• Experience in designing and maintaining automation frameworks for the Web, Mainframe (CICS), SAP, ETL, Unix & SQL
• Experience in Test Case Design & execution, Requirements Traceability Matrix, Bug Reporting
• Thorough knowledge of SDLC, STLC & standard testing processes/ procedures
• Coordination among client and offshore team members effectively.

(C) TECHNICAL SKILLSET:
Operating System: Unix (Solaris, HP-ITA, AIX & RHEL), Raspbian, Minibian & Windows
Language: Python, R, Java, Sql & VBScript
Hadoop eco-system: Map Reduce, Pig, Hive, HBase, Sqoop, Zookeeper & Spark
Testing tools: QTP, Selenium, QC