Overall 5+ Years experience in IT and Analytics domain. 3.5 Years of hands-on experience in solving business problem using machine learning and statistics algorithms like Linear regression, Logistic Regression, Random Forest, Gradient Boosting, K-means clustering, DBSCAN clustering etc and time series forecasting techniques like Holt Winter, ARIMA/SARIMA.
I am currently learning deep learning and NLP algorithms.
Have successfully completed full-time MBA from NMIMS(Narsee Monjee Institute of Management Studies), 2020 batch.
· Built an application scorecard (probability of default model) using existing bank customer data using Logistic Regression (Binary Classification) as baseline mode with an accuracy of 65% and GINI co-efficient of 40%. Have compared baseline model with other sate of art algorithms like Random Forest and XGBOOST. Wrote an efficient code in python for feature engineering like creating weight of evidence and information value and selected significance predictors for model through this process.
· Performed Cramer's V (CHI-SQUARE) for good ness of fit test for available set of categorical variables.
· Built K-means clustering in Python to segment a dataset of customers into groups based on customer behavior metrics of Credit Card. Objective is to find 3 clusters of income group(Elite, Premium, Basic). It is an adhoc project for one of credit card campaign.
· Wrote complex SQL queries to pull data for ad hoc requests from internal business partners.
· Reviewed SQL code written by junior associates and gave them best practices recommendations.
· Built a time series forecasting model using Holt Winter method and ARIMA/SARIMA with an Mean absolute error of 23. This project is built for one of the GSK Pharma's COPD and Respiratory product's sales value for european market. Which helped GSK to optimize their marketing and medicine representative spend in that region.
· Analyzed GSK's Ellipta product(inhaler) sales comparison using Welch T-test in 2021 to check significant difference happened due to COVID or not.
· Built medium level financial and marketing reports and analytics dashboards using Excel and PowerBI
· Monitoring Cisco switches and routers on daily basis, which implemented on client location
· Managing network health
· Troubleshooting network issues using IPCONFIG, PING, TRACROUTE, IPINTERFACE commands on console
· Giving customer service by visiting client sides
Interacting with clients for new requirements and existing problems
· Engaging and daily brainstorming with line manager, VP/AVP of service delivery team regarding any new infra roll-up or new improvements on data sources
Power BI
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