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Redefining Traditional Money Management with a Scalable Wealth Management Platform

Venu G Reddy

A new fintech startup wanted to revolutionize traditional wealth management, taking a hands-on approach in helping entrepreneurs scale their businesses into transformative, category-leading companies. Here is how we designed and built a scalable, easily serviceable wealth investment platform for them.

Suman Kalyan

I'm a hands-on Machine Learning Leader with 20 + years of data science & Analytics consulting experience. I have worked across multiple industry verticals that include Telecom, Industrial Automation, Healthcare, Hitech, and Higher education.

As part of Ness Digital engineering, I’m currently running a Machine Learning practice for providing strategic AI advisory services to multiple industry verticals. I had the opportunity to work on niche areas like AI-driven precision medicine in the area of evidence-based Oncology for a Healthcare device manufacturer, AI-enabled IT Service management implementation for a global Hitech major, and AI platform maturity assessments.

I’m hands-on with many tools & frameworks used in Machine Learning that include but are not limited to Python, Tensorflow/ Keras, Scikit Learn, PyTorch, and Kubernetes. I have experience in Deep Learning modeling approaches based on various architectures including convolutional neural networks ( V-Net, Inception), LSTMs, RNNs, and multi-modal networks, I have applied these approaches to Computer vision, NLP based problem statements like auto segmentation & target volume detection for DICOM CT images, conversion of verbose business rules into executable logic, predicting the success of content based on plot and more.

My areas of interest in AI are Federated Learning, edge computing in Industrial IoT, distributed & decentralized ML architectures, and predictive/ preventive maintenance problems. I have played multiple roles in my AI consulting career including - Data Scientist, Product Manager, AI strategy consultant.

Aswani Karteek Yadavilli

Senior solutions architect with experience in providing and delivering solutions to a wide variety of data analytics problems. Areas of expertise include data engineering, cloud platforms, data architecture and data mining. Core skills includes Informatica, SSIS, Alteryx, Talend, ODI, Azure, Stitch, Fivetran, AWS Glue, AWS Data Pipeline Snowflake, AWS Redshift, Azure Synapse, AWS Athena, Oracle, Microsoft SQL Server, PostgreSQL, MongoDB etc.

Covetrus Cirrus - A Cloud-Based Veterinary Practice Management System

Subhash Thakur

Cirrus' a Cloud-Based SaaS veterinary practice management system (PMS) designed and built to increase productivity, streamline operations and grow revenue for Covetrus, a global leader in animal-health technology serving 100,000 customers worldwide.

Designed as a global platform that is easy to customize and scalable, it was aimed to modernize existing features of their product eVet with many new-age features. Built using emerging technologies (Azure Cloud, Microservices, Event-Based Communication, PrimeNG, Ready API Automation, MicroUI), it has in-built collaborative solutions for tele-consultation.

Nitin Agarwal

Nitin has many years of hands-on execution and leadership experience and is an expert of all-things-Microsoft with strong expertise in Azure platform and transformation best-practices. Currently, he leads the strategy and execution of Motifworks, an Accion group company focused on cloud transformation.

Tom Collins

Tom is a successful executive with demonstrated experience leading successful sales, consulting, product development, account management, and professional services units. He builds strong client relationships, assembles high-performing teams, and delivers results. Tom is a leader who brings a wealth of experience in the technology and innovation space and has worked across the globe. Over 25 years of his career, Tom has founded multiple companies and has run tech services organizations in leading firms such as Siemens, Atos, Accenture, and Globallogic.

Google Cloud Platform

Google cloud platform is a suite of public cloud computing services offered by Google. The platform includes a range of hosted services for compute, storage and application development that run on Google hardware. Google cloud platform services can be accessed by software developers, cloud administrators and other enterprise IT professionals over the public internet or through a dedicated network connection.

Shubham Dayanand Amane

●  5 years​ of experience in data engineering, data analysis, design, development, production support.

●  Designed and implemented multiple data pipelines use cases.

●  Designed real-time batch processing of mission-critical application.

●  Designing on demand cloud based solutions reduces cost.

●  Data and code migration across platforms.

●  Worked on e-commerce scrape data for data analytics and data engineering Build the Web

application using the Django.

●  Expert in Spark, Hive, HDFS, Scoop, Scarpy, Python.

●  Hands-on experience in building batch and streaming for scraping data lake

●  Enthusiastic about learning and researching the latest technologies.

●  Experience in deploying spark application, scrapy application, web application.

●  Experience in dashboard data visualization, Data Lake implementation.

I'm Tech-Enthusiastic.

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