Chandan C.

Chandan C.

Expert developer in Analytics and Python

Bengaluru , India

Experience: 6 Years

Chandan

Bengaluru , India

Expert developer in Analytics and Python

40504.4 USD / Year

  • Notice Period: 30 Days

6 Years

Now you can Instantly Chat with Chandan!

About Me

Currently Research Engineer in Mercedes Benz research and development

• 4 years of experience in Analytics and Python.•Most of my work has been based on Python and R. • Hypothesis testing and Data Cleansing to give m...

Show More

Skills

Portfolio Projects

Solar Energy Production Forecast

Company

Solar Energy Production Forecast

Description

Solar Energy Production Forecast:
o Building Regression and Time Series methods.
o Forecastenergyproductionbybuilding ahybridmodel.[RNNandGBM]
o Forecast the amount of insurance claim received by insurance company.

Show More Show Less

Tools

Git

Block ChainAnalysis

Company

Block ChainAnalysis

Description

  •  Data insights and Data preparation
  • Classifying PO (use full form of PO) whether it will be in market or not.
  • DelayPrediction-PredictingweatheraPOwillbelateorintime.Ifitisdelayed, predicting how many weeks it would be delayed.

Show More Show Less

Tools

Github

Analytics Workbench

Company

Analytics Workbench

Description

  • Workbench as a desktop widget: An interactive and essential tool for data analysts. This is a desktop version which includes regression (10 algorithms), classification (7 algorithms), clustering, time series (7 algorithms), dimensions reduction, association, few solutions like anomaly detection.
  • Workbench as a web based: The desktop UI was migrated to web based along with other features like visualisation, big data, NLP, data base connection.
  • Forecasting number of calls : forecasting the number of calls thats are made in a call centre for credit TL to support Mobiloans.
  • Modularizing Forecasting tool: converting the R forecasting code into python and using oop concepts to modularise the forecasting tool.
  • Forecasting the number of accidents: Forecasting the number of accidents happyening with the data by Vantage agora.
  • Forecasting the number of claims: forecasting the number of insurance claims made for every month.
  • Forecasting the amount of claims: forecasting the amount of claims per month using time series models/ regression models.
  • Classification of customers : forecasting if a customer claims in the next year or not based on given data.
  • Noise analysis: analysis of the noise present in the time series data.

Skills: Python, Machine Learning, Computer Vision, C++

Show More Show Less

Tools

Git