Sep 2019 – Jun 2022 · 2 yrs 9 mos · Hyderabad Area, India

• >>Worked on call center capacity planning and workforce scheduling for various Verizon call center departments. Extensively worked on time series models( ARIMA,SARIMA,PROPHET and LSTM), simulation(Erlang-C) and optimization (Linear Programming).
• >> Built automated univariate time series model for efficiently building univariate models with minimal human interaction.
• >>Worked on anomaly detection (Clustering based techniques, Isolation Forest etc.)
• >>Worked on call routing optimization : Predicting the customer service department a call should be transferred from IVR based on IVR related activities and cutomer past informations

Aug 2018 – Aug 2019 · 1 yr

• >>Led a team of data scientists. worked closely with the client in understanding various business problem and providing them the with actionable insights/solution based on state of the art statistical/Machine learning algorithms and tests.
• few of the projects worked on are as follows
• >> Root cause analysis using machine learning and probabilistic algorithms.
• >>Fuel prediction/performance models
• >>Exploratory data analysis and visualizations using python(matplotlib,seaborn,plotly) and R(ggplot)
• Also worked on multiple POC to showcase the organization strength in digital space.
• worked on few interesting machine learning /deep learning pocs like
• >> Sentiment analysis
• >>Recommendation engine
• >>Image quality enhancement

Aug 2017 – Aug 2018 · 1 yr

• Worked for one of the biggest freight hauling railroads of USA. did detailed analysis of the different rail routes and train categories. The analysis include both in-depth data exploration, visualisation and complex machine learning model building.

May 2016 – Jul 2017 · 1 yr 2 mos · Cochin Area, India

• At Visual IQ I have mainly worked on cross channel attribution modeling.Worked for various multinational clients to help them understand the impact of different online and offline marketing channels on the sales using machine learning.helped them with optimize budget allocation for better reachability

Sep 2014 – May 2016 · 1 yr 8 mos · Hyderabad Area, India

• >>Worked for a leading Airlines Company to segment the customers according to the recency,frequency and monetary value.Helped them to target the right sets of customers and reduce their marketing cost.
• >> Worked for a UK based business consulting client to help them in predicting how long a customer is going to stay with their service and the probable reason for churning.
• >>Worked on a Health insurance project for an US client
• .Predicting length of stay of a patient in hospital.
• .US market segmentation which can help the client to come up with new plans for the prospects.
• .Claim Segmentation to understand the deportment of the claims form each region. Segmenting the customer in different health statistic quadrant like high cost-high risk,low coat-low risk etc.
• >>Worked for a leading UK based client in identifying the importance of the different advertising channels for budget allocation.This technique is popularly known as Multi touch Attribution modelling.Statistical technique used -Bayesian Network and Shapley Value Method.

Jun 2013 – Sep 2013 · 3 mos · Kolkata Area, India

• Worked as a data science intern.Worked on sentiment analytics project for a telecom client.
• >> Collecting text data from internet using web scraper
• >>Preprocessing the data
• >>Build machine learning model to predict the sentiment of the user.

May 2010 – Dec 2010 · 7 mos · Chennai

• Worked for one of the biggest insurance company (USAA).
• The work mostly related to analyzing the insurance data by making reports and presentation

Sep 2008 – Apr 2010 · 1 yr 7 mos

• Trouble shooting ,Customer Service,Maintaining Technical Infrastructure of the company.