Time series detrending and deseasoning

I am a statistician and a data scientist. I am good at machine learning and data science. I am a statistician and have a strong background of theoretical statistics and mathematics. I am good at web scraping using python, requests, selenium etc. I am also good at implementing machine learning and deep learning based models. I have experience of implementing multivariate regression ,Factor Analysis, Principle Components analysis, ANOVA , LASSO and Elastic net, classification and regresison trees, Monte Carlo methods etc. in R.

I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/django. My area of expertise is building financial models (Stock Markets) , Image Processing and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I would like to hear from you. Thanks Shivam

Expertise in Python with a substantial background in machine learning I have completed various protects related this field as you can view my profile for completed projects. I can provide you your complete task in decided time frame with quality work. We can discuss further details in the message box Regards

Hey! I have detrended/deseasones Forex Market data Real Estate data as part of my previous projects. Should be an hour-long task. Let's get started!

My thesis consisted of working with tim series data so I have a good knowledge of such data. I will do it quickly with less than average money.

Hi, I have done time series modeling in Matlab for several years. I can help you in your project. Let me know if you are interested.