May 2022 – Mar 2023 · 10 mos · Gurugram, Haryana, India

• Worked with a financial services client to perform an in-depth analysis of the customer service data to identify the bottlenecks in the Work Item(customer query) resolution process and optimize it.
• Identified factors affecting Bounce-Offs in the Work Items' journey.
• Developed complex SQL queries to extract and transform data from various data sources (EDW and Snowflake).
• Worked on visualization for various KPIs of the Customer Service data at both the Queue and Work Item types levels.
• Collaborated with business stakeholders to provide analytical solutions to business problems.

Feb 2022 – May 2022 · 3 mos · Mumbai, Maharashtra, India

• Part of Risk Methodology Team.
• Developing Controls on Various Credit Risk (PD/LGD) Models using Alteryx, SAS, and Python as well as understanding and investigating the drivers in case of a Control Breach
• Contributing to the enhancement of the data environment with a focus on streamlining and automating processes.
• Preparing regular and ad-hoc analyses performed for key stakeholders and Senior Committees

Mar 2021 – Feb 2022 · 11 mos

• * Worked on the Detractor model to predict the Detractors(with low service ratings) to help the Business and the Customer Service teams convert them into satisfied Promoters(with high service ratings) for both Vodafone and Idea brands across PAN-India. Built, trained, and deployed the predictive ML model on AWS Sagemaker.

Apr 2019 – Feb 2021 · 1 yr 10 mos

• Worked on Pre-Paid churn models of Idea brand to predict churn 15 days in advance. Built, trained, and deployed the predictive ML model for the PAN-India base on AWS Sagemaker.
• Utilized unstructured textual data from customer reviews and feedback to anticipate customer sentiments.
• Worked on the Handset Upgrade model of the Vodafone brand to predict which all subscribers using 2G feature phones have a high propensity to upgrade to a 3G/4G smartphone. Converted the existing SAS code for the project into Python and used advanced ML algorithms and techniques to enhance the model performance.
• Implemented time-series SARIMA forecasting algorithm on both Vodafone and Idea brand's Port-out data separately to get the weekly Port-out forecasts for the brands.

Oct 2018 – Apr 2019 · 6 mos · Mumbai, Maharashtra, India

• GOQii is a personalized coaching platform that provides health consultation through an intelligent fitness band that tracks various activities of the customers.
• My primary responsibility was to enable the business users to make data-driven decisions, serve as a backbone for various departments help them with the numbers, and measure the impact of the changes implemented. Involved in writing complex SQL queries, data manipulation, feature engineering, statistical analysis, simulation, data visualization, implementing machine learning algorithms, and predictive modeling in Python.

Mar 2018 – Oct 2018 · 7 mos · Mumbai, Maharashtra, India · On-site

• Translate Deep Learning research to business solutions, while implementing cutting-edge Deep Learning algorithms on the latest Machine Learning platforms.
• Applied Google's Dialogflow NLU platform to create several interactive conversational chatbots as per the client's requirements.

Jan 2016 – May 2017 · 1 yr 4 mos · Western Odisha

• Job Roles & Responsibilities:
• Ensuring Program Deliverables
• Loyalty Specific input customization
• Earnings communication
• Information Management
• Emotional Connect Program
• Sell-out solution implementation
• Program coordination for activating Feeder Markets
• Permanent Merchandising execution
• Helping the branch on Outlet Identification and Enrollment

May 2015 – Dec 2015 · 7 mos · Indore, Madhya Pradesh, India · On-site

• Analyzed the Stock Market data daily.
• Interacted with clients, scrutinized, and resolved their queries related to Stock Market Trading by providing them with suitable solutions to their needs and requirements.

May 2014 – Jul 2014 · 2 mos · Bhubaneswar, Odisha, India

• WORKING CAPITAL MANAGEMENT
• ~ Studied the Annual Report of NALCO thoroughly to determine its performance and working capital over the last 5 years
• ~ Studied the different components of working capital and the various factors affecting it

Jan 2014 – Jan 2014 · 0 mo · Bhubaneswar, Odisha, India

• Increased product off take at FVRL stores.

Jun 2013 – Jul 2013 · 1 mo · Bhubaneswar, Odisha, India

• TRAINING IN MOBILE COMMUNICATION, DATA COMMUNICATION AND DIGITAL TRANSMISSION.