Oct 2021 – Jan 2023 · 1 yr 3 mos · Hybrid

Apr 2019 – Aug 2021 · 2 yrs 4 mos · India · Hybrid

• As Part of innovation council ,which is a R & D division ,mandates and currently focusing on Predictive ,prescriptive Analytics & Text Analytics leveraging AI across all domains by understanding different business problems.
• Key Roles & Responsibilities
• Drive Operational Excellence – Ensure execution of critical Predictive & Text Mining projects, including driving innovative implementation and insights derived from data.
• Consultant - Providing thought leadership and best practices related to critical Predictive & Text Mining projects. Identify specific capability, practices, tools, and people that the organization would need to develop.
• Solutioning -
• Understanding different business problems in different business line and solving analytical problems and develop repeatable, dynamic, real-time and scalable models.
• Conceptualize and develop predcitive & Text Mining solutions for the customer in focus. Envisioning opportunistic areas with our client by demonstrating relevant and credible Text Mining solutions and paradigms.
• Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.

Sep 2018 – Apr 2019 · 7 mos · India

• Currently working on Deep learning especially on text using advanced RNN(GRU and LSTMS),NLP (Natural Language Processing) ,NLG (Natural Language Generation) which is a powerful AI technology that can help business in wide range of sectors in
• Automation of content generation &
• Data delivery in the expected format
• Significant Reduction in Human Involvement
• generating product descriptions from inventory data
• creating individual financial portfolio summaries and updates at scale
• business intelligence performance dashboard text explanations
• real estate property descriptions
• personalized customer communications

Feb 2017 – Sep 2018 · 1 yr 7 mos · India

• Worked with team and understanding the problem and business requirements which help the Bank for stabilising and improvement of business.
• Work on different model building to identify risk undertaken by bank investment using machine algorithms. This analysis helps banks to tighten the lending process by identifying risky and default investment.
• Extract the behavioral and application data for the further analysis.
• Visualize the raw data and filtering out the most possible basic information from that.
• Before preparation of model the assumptions are verified which implies to fit a perfect model as per the business requirement.
• Developing the various model with the help of machine learning algorithms like Linear Models, Decision Tree, Random Forest, SVM.
• Validate the developed models by considering the parameters such as significance, fitness, robustness, accuracy etc.
• Again validating the same with real time data and manipulating the raw data to come up with a best model and fit those in developed application or as a factorial input to other application.
• Also visualizing, predicting and representing it to business with every possible worst and best scenarios.

Dec 2014 – Feb 2017 · 2 yrs 2 mos · India

• Problem formulation and design of solution.
• Collaborating with Analytics and IT teams to transforming the data for use in modelling and visualizations.
• Designing visual interface for users to interact with the data i.e. Building visualizations for better understanding and reporting.
• Writing data transformations, data cleansing using PIG operations and Collecting and aggregating large amounts of data using Apache Sqoop and staging data in HDFS for further analysis.
• Involving in producing tables, reports, graphs and listings using various procedures and handling large databases to perform data manipulations.
• Weekly Tracking the data and analysing it using HiveQL, PIG Latin and written Hive and PIG queries for data analysis to meet the business requirements.