At my core, I am a Data Analyst, working on descriptive, inferential, predictive and prescriptive analysis of various domain areas i.e. real estate, retailing, banking, insurance, HR, operations, etc. I have extensive experience with statistical analysis, data analysis, machine learning and deep learning.
My framework of choice is R, although I have also worked extensively with Python and other frameworks such as SPSS, Tableau and Advanced Excel.
Having been a consultant and department head in multiple positions across multiple industry sectors, I pride myself on having an objective and pragmatic approach to the the goals, strategies, progression & growth of a development team and the individuals within it.
Having experience of both training and development, I have become meticulous for detail in planning and execution of projects as well as documentation and communication.
A analyst team is an organic structure, often varying in delivery strategy based on many variables such as to plan, design, develop, and launch efficient business, financial, and operations systems in support of core organizational functions and business processes. This includes gathering and analyzing data in support of business cases, proposed projects, and systems requirements. . Due to this I have often had to employ different methodologies from one team to another, and on occasion, multiple methodologies within the same team. As a consequence, I am proficient with machine learning models such as Tensorflow, Keras and PyTorch and Visualization with Shiny, Tableau and PowerBI.
I am familiar with various modules such as:
a). Logistic Regression
b). Linear Regression
c). Decision Tree
d). Random Forest
e). Time-series Analysis
f). Support Vector Machine
g). Sentiment Analysis
h). Image Classification
i). Image Recognition
j). Survival Analytics
k). Meta Analysis
l). Naïve Bayes models
m). K-nearest-neighbors classification
n). Gradient boosting
o). Market Basket Analysis
We will deliver the quality.
Payment after delivery of project.
We believe in long term relationship.