Akshay Joshi

• I have worked over whole Data Science Lifecycle right from importing data till interpretation of results.

Projects:

1. Predict whether ad will get a click or not(Marketing Sector)

Its current ongoing project. We are using multiple classification algorithms like Logistic Regression, Random Forest Classifier,etc. Also, we have done feature engineering using variables like ad_resolution, banner_pos, adx_id, os, device_type, etc. We are using AUC and confusion matrix for checking model performance.

2. Forecasting of construction equipment's sales(Construction Sector)

In this project, we received monthly history of sales from customer since Jan-1999. We used various algorithms like ARIMA, ETS, ARIMA_XREG, etc. for forecasting monthly value for next 12 months. Here, we have checked data is stationary or not. Also we checked multiple factors like Seasonality, Trend, Noise. We used accuracy matrix to evaluate model's performance.

3. Forecast of food packets sales(Retail:Food)

In this project, we received daily sales pf packets from a customer since Apr-2014. Also we received their holiday data, daily stocks quantity data, product launch history and also launch data for future. We used Random Forest, Gradient Boosting Machine, ARIMA_XREG, etc. for forecasting. We used accuracy matrix, RMSE to evaluate model's performance.

4. ACID Test(Compared Inhouse ML Product with other platforms)

In this project, we have created libraries and functions in python to run models using API's for different tools like IBM SPSS, FP Platform(Inhouse Product). This gives us flexibility to compare any opensource tool with FP Platform(Inhouse Product).

• Lead the team of 5 people for different projects.
• Worked over analytical reporting in SQL and PLSQL.
• Worked over GDPR regulation application in databases for masking PII and SPII information.
• Worked over developing functionalities in SQL and PLSQL using procedures, Functions.
• Worked over database query tuning and database performance improvement.
• Worked with HR in organizing multiple events for TCSer's and their family members.