Mohammad Nadeem

Project 1 : AI Powered Cell/Site Energy Management

Project Scope:

• Shut down radio technologies during low-peak traffic based on AI-ML predictions, without impacting customer experience, in order to save energy spent on radio equipment.
• Business benefits of 440K USD for 1 European telecom customers in Energy Bill savings. At present 10 customers are in line for the implementation of this use case

Technology stack:Python 3 ,sklearn, Pyspark, PostgreSQL, Argoflow

Project 2 : Abstractive Summarization

Project Scope:

• Generated abstractive summary of chat conversations using transfer learning on some state of the arts algorithms.
• which helped managers to efficiently find area of improvement in less time.

Technology stack:Transformers, GCP, Tensor flow, Pytorch

Project 3 : Throughput Degradation and Traffic Balancing

Project Scope:

• Aims to predict whether the Throughput(MBPS) of a particular cell will be degraded in next two hours or not.
• If yes, certain actuation measures are taken in such a way, that those cell’s traffic is moved to other potential cells which can absorb some users from the suspected cell. Ultimately giving those users a smooth throughput experience and hence recovering the throughput of predicted degraded cell.

Technology stack:Python 3 ,sklearn, Pyspark, PostgreSQL, Argoflow

POC: Intent based Operations

Scope:

To build a prediction agent using LLM , which can summarize on the intent of customer and in turn choose on the use case to achieve the same.

Project 1: Bank Campaign Management

Project Scope:

• Campaign Management module of Deutsche Bank is designed to manage all the campaigns running, in order to meet the expected growth of the organization. Prediction of potential customers is to be made, whether a customer with certain details(features) will opt for Term Plan or not.
• Our prediction will help organization to reach out to the potential customers only and which in turn will add to the bank’s business.

Technology Stack: Python 3, Jupyter Notebook, sklearn , Flask

Project 2: Name Entity Recognition

• Automated the process of name and address extraction from email attachments and deployed it on client server.

Technology Stack: Spacy, Bert, CRF, OCR, NLP, Pytorch

Project 1: PAYMENTS(ROYAL BANK OF SCOTLAND)

Project Scope:

• The Payments module of The Royal Bank of Scotland is specifically designed to facilitate and manage the payments of RBS.
• It constitute of 29 tables divided in 3 Categories(CAT1 , CAT2 and CAT3), from which all the payments information(including the day to day payments as well as customer information), are loaded into the Data Warehouse as well as archived into the Data Vault.

Technology Stack: Informatica 9.6.1, Oracle 11g PL/SQL, UNIX, Informatica ILM 6.4 HF2

Project 1: Monkey Species Detection

The objective of this project was to detect the monkey species out of 10 categories by providing an Image.

Environment: Python 3, sklearn , Tensorflow , CNN

Project 2: Blindness Detection

The objective of this project was to detect the level of blindness or no blindness by training the model on different Eye Retina Images and their labels .

Environment: Python 3, sklearn , Tensorflow , CNN