Hi, I am Kush Kulshrestha, the guy behind the blog.
Currently working as a Data Analyst, I am a self taught Data enthusiast with a passion to turn data into better and smarter products, actionable insights and meaningful stories. I analyze data to gain insights into business performance, build visualizations to support decision making, and create ETL processes to automate key business reporting processes.
I have published 3 research papers in International conferences and Journals.
I started my journey in Analytics with one of my project work sponsored by DRDO as an Electrical Engineering student in Panjab University. In the project, I was expected to analyze and visualize the output of a pressure sensor that we indigenously developed in the DRDO lab using Cabon nanotubes. After the project, I started exploring other ways to analyze the data.
Tools I use:
- I use Python and R to implement various Machine learning algorithms and automate reports to capture trends and patterns which are consumed by vertical heads.
- Visualization: Tableau is my preferred tool for data visualization. Sometimes, I also work with Neo4j. I introduced Tableau dashboards in the startup I am currently working in which eventually led to exponential increase in efficiency of Account Management team.
- Advanced proficiency in working with MS Excel and SQL.
- Proficient in Descriptive and Inferential Statistics (Hypothesis testing, t-tests, f-tests, Anova testing, A/B testing, probability distributions)
- Designing Clutter free Visualizations and BI dashboards, KPI dashboards.
- Time series forecasting, Customer churn Analysis, Cohort Analysis, RFM Analysis,
- Statistical Modelling Techniques like Linear Regression, Logistic Regression, Ridge and Lasso Regression, Nearest-neighbour Classifiers, SVM, Decision Trees, K-means clustering, EM Algorithm, Gaussian Mixture models, PCA.
ABOUT THIS BLOG
Vizoftheweek started with my effort to create and share one visualization every week. But soon I started focusing not only on Vizes but also on every other data things.
Now I share everything from tips and tricks that I feel could be used to enhance data storytelling to observations about what makes a great visualization great to statistical analysis and applications of Data Science in various domains. It's about exploring data and sharing insights in an engaging way. I share what I have learned (and am learning) with you.
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- Engineering Mathematics - I, II and III
- Numerical Analysis
- Engineering Physics
- Electrical Machinery - I and II
- Power Electronics - I and II
- Control Engineering
- Digital Signal Processing
- Power Systems - I and II and CAPSA (Computer Aided Power System Analysis)
- Microprocessors and Microcontrollers
- Linear Circuit Analysis
- Communication Engineering
- Energy Management and Auditing
- Wireless Communications.
- Data Visualisation with Tableau Specialization, University of California, Davis
- Creating Dashboards and Storytelling with Tableau
- Excel to MySQL: Analytic Techniques for Business Specialization, Duke University
- Data Visualization and Communication with Tableau
- Managing Big Data with MySQL
- The Analytics Edge, MIT
- Machine Learning, Columbia University
- Statistical Thinking for Data Science and Analytics, Columbia University
- Intro to Machine Learning, Udacity
- Time Series Forecasting, Udacity
- Inferential and Descriptive Statistics, Udacity
- Customer Analytics, University of Pennsylvania
- Data Analysis, Delft University
- Excel for Data Analysis and Visualization, Microsoft
- Introduction to R Programming, Microsoft
- Introduction to Programming with MATLAB, Vanderbilt University