Krishnav Bhudeo Dave
As a Principal Data Scientist and delivery manager Krishnav architects and oversees the delivery of a number of client projects/products. He has more than a decade of experience working onto full stack SDE, Process Automation, Data Science, Business Intelligence, Artificial Intelligence, Machine Learning and MLOps SME using new age cloud platforms like AWS - GCP.
Artificial Computational Intelligence
Click here to download as PDF :
Ashutosh Bijoor
Ashutosh (Ash) has over 21 years of experience in the technology industry, with customers ranging from start-ups to large multinationals in a wide range of industries, including High-tech, Engineering, Software, Insurance, Banking, Chemicals, Pharmaceuticals, Healthcare, Media, and Entertainment. He is experienced in leading and managing cross-functional teams through the entire product development life cycle.
Ash is skilled in Emerging Technologies, Software Architectures, Framework Design, and Agile Process Definition. He has implemented enterprise solutions as well as commercial products in domains ranging from Big Data, Business Intelligence, Graphics and Image Processing, Sound and Video Processing, Advanced Text Search and Analytics. He completed his M. Sc. from IIT, Kanpur.
Reema Poddar
Reema is known as an agent of change in the Digital Business, Product Engineering, and Digital Transformation sectors, having dedicated over 26 years to the software industry. She holds extensive expertise in data analytics, machine learning, artificial intelligence, cloud services, the Internet of Things (IoT), and the Internet of Things (IIoT). She has garnered global experience as an intrapreneur, entrepreneur, board director, and C-level public officer for firms ranging from startups to Fortune 500 corporations.
Additionally, Reema was the Chief Product Officer at Teradata Corporation. Prior to that, she spent 14 years in various executive leadership positions at General Electric. She also has several prestigious business and leadership awards to her name.
Reema possesses a Master's Degree in Computer Science and Physics, specialising in nuclear physics and electronics.
Artificial Intelligence and Machine Learning
With the proliferation of smart devices, we are now able to capture information in real time with more depth and fidelity. Artificial intelligence is imparting a cognitive ability to a machine. Predictive analytics and supporting technologies like machine learning require access to diverse data sets, powerful and scalable compute resources. Modern capabilities including predictive analytics and machine learning, enable organizations to leverage large amounts of data from social media, online journeys, the Internet of Things (IoT) and other sources to enable data driven decisions across an organization.
Engage3 - Retail Analytics and Price Intelligence SaaS Solution
A leading retail competitive intelligence provider that utilizes data science for developing price optimization engines. Accion Labs EDC team is driving business and performance for their Competitive Price Response (CPR) Software-as-a-Service solution. Powered by advanced predictive analytics the custom retail analytics tool analyses competitor price info such as cost & sales price for arriving at an optimized sale price. Business impact includes improving CPG companies’ competitive visibility and maximize their ROI. The database consists of 8 million UPCs and 10 billion price updates per year across over 32,000 retail locations. Implementation of web crawlers to capture the competitor info (Product/Store/Price) per business requirement and loading of business validated crawled data to respective client data warehouse.
On Demand Webinar: Can You Leverage Artificial Intelligence for Medical Diagnostic Imaging
On 6th May, Accion Labs hosted its first and foremost healthcare focused webinar on the topic, "Can You Leverage Artificial Intelligence for Medical Diagnostic Imaging". The webinar was presented by Mikunj Joshi, Director of Healthcare/IoT Center of Excellence and Hemant Rathore, Lead Data Scientist at Accion Labs.
The webinar primarily focused on how to leverage best practices and IT accelerators to:
- Mitigate cost, as it remains the most significant barrier to AI adoption.
- Help create organization direction for the adoption of AI
- Build the necessary IT infrastructure
Our speaker Mikunj Joshi conducted an interactive Q&A with the audience designed to exchange thoughts and ideas.
Ashish Moses
- Extensive experience in Business Intelligence across multiple domains.
- Project/Technical Manager for Database, BI, ETL and application projects.
- Database modeling experience with exposure to Greenfield data modeling projects as well as redesign for transactional database systems.
- End-to-end EDW design and implementation
- Strong background in ETL processes, data migration and data analysis tools.
Capabilities
- ETL
- Business Intelligence
- Datga Modeling
- EDW Architecture
- Requirements Analysis
- Agile Development
- Applicaiton Development Leadership
Naveen Kumar M
6 plus years of experience in Data warehousing and Business Intelligence. Primarly working in ETL: SSIS and MS-SQL.
Sathish Kumar Pandy
Having 14+ years of extensive IT professional experience with expertise in Tableau Desktop and Server, Power BI , Business Intelligence, Database Development and Technical Management.