Devaraj N Email & Phone Number

Bengaluru, Karnataka, India

Feature Value of a product (Personal Computers and Printers)

Bengaluru Area, India

 Understand business problem, analyze data & provide impactful data-backed solutions using Statistics, ML & DL frameworks

Bangalore Urban, Karnataka, India

 Analytics project in functions of Marketing, Supply-Chain, Order management & End Customer

Bangaon Area, India

• Customer Preference for product renewal: Ordered logistic regression is used to classify the customer preference towards the renewal of Product. POC to provide real time solution for customer care in insurance.

Bangalore

• Return to Market:Built different binary classification models and identified the best model based on accuracy to know the customers who are returning to market in six months. Used machine learning algorithms to.
• Disposal Days – Used machine learning algorithms to classify in how many month the customers are keen to sell it.
• Fleet capacity forecast: the ARIMA /ARIMAX algorithms were deployed to forecast the retiring fleet of globe and mathematical equation is used calculate forecasted fleet.
• Port calls Prediction: Using the existed trade forecasts the mathematical ratios were applied to forecast an port calls for next 50 years.
• Asset Valuation: Built the Regression analysis for forecast of valuation of new ships and used ships.Expertise:
• Extremely comfortable and proficient in undertaking statistical analysis using tools like SQL, R etc.,

Bangalore

• Sales Prediction: Built the Regression analysis for prediction of sales of a non-cooperator stores
• Customer Response Model: Built response models based on campaign data to classify customers based on their preference.
• Customer Segmentation: Implemented cluster analysis to profile the customer base, and to identify niche target segment based on behavioral characteristics for a new product launch of a major stationery company
• Forecasting the sales: Implemented ARIMA procedure to forecast the sales of a products.
• Retail Management Survey: Key responsibilities –o To maintain and calculate the sample size using techniques like random sampling, stratified samplingo To compute the projection factor – universe, sales, and day.