Problem Solver
Shailesh Nair
Areas Shailesh Nair is Knowledgeable in:
Programming and Mathematics, Fin-tech, Aerospace Safety Data Analysis, Health-Tech, Renewable Energy Domain, Data Management and Analysis.
Techniques Shailesh Nair Uses:
Define or understand the problem statement.
If problem is big divide into different steps.
Analyze the problem and discuss the solution with a team if i have.
If the solution found is not perfect then apply trial and error pattern to define solution.
If problem is big divide into different steps.
Analyze the problem and discuss the solution with a team if i have.
If the solution found is not perfect then apply trial and error pattern to define solution.
Shailesh Nair's Problem Solving Skills:
- ReactJS, Vue3.JS, Redux, Flux, NodeJs, AngularJS
- Flutter
- Objective C, Carbon C, Carbon Framework, Mac, iPhone
- Azure, AWS
- Domain Driven Design
- Sql Server
- Ruby
- C++
- Java
- Rust
- F#
- C#
- Python, Sci-Kit,Pandas, Keras
- OCaml
- Apache Storm
- Apache Spark
- Apache Druid
- Apache Kafka
- Golang
- Oracle
- d3.js, Three.js
- Machine Learning, RNN, CNN, LTSM, ANN
- DataScience, Multivariate Calculus, Stochastic, Binomial Equations, Integral calculus, Differentiation
- R, Julia
- Fintech
Shailesh Nair's Problem Solving Experience:
- I Developed a market place in Renewable Energy domain which can match consumption and production data that comes from different producers and consumers and also do trading by buying and selling energy certificates.
- I recently developed a ETF Analysis application which have used intense ML algos by collecting and storing intraday data from Exchange and predict 2 prices and sentimental indicators for ETF plotted in Dashboard containing different range graphs that can be read by fund managers