Arun Pandey
AI Leader
Bengaluru
Summary
Award Winning Global Artificial Intelligence Leader | Machine Learning | Data Science | Analytics Thought Leader Best Selling Author Top 10 Global Influencer From Ideation to Execution
Overview
24
24
years of professional experience
Work History
AI Engineering Head
Schneider India Pvt Ltd
Bengaluru
11.2022 - Current
- Lead team of world class data scientists, data engineers, and experts in machine learning and AI @Schneider AI HUB
- In very short span of time spearheaded engagements worth 167 M Euros and delivered successfully
- As part of the AI Hub organization was responsible from leading from the front and solving complex business & technical problems by applying best in AI and engineering practices
- Key responsibilities included leading AI, Data Science, engineering teams with end-to-end accountability in DevOps model which includes architecture, solutions, design, development, test, deployment, automated pipelines, automated testing, maintenance in production, metrics measurement, and tracking
- Successfully Lead execution of 6 AI powered applications using agile methodology
- Understood and broke down client problems, bringing understanding of leading technology, analytics methods, tools, and operating model approaches
- Conducted research to provide technical solutions at scale for real-world challenges in various scenarios
- Helped Executive leadership and business stakeholders understand potential and limitations of AI when planning new products
- Worked closely with product counterpart, taking accountability to deliver on product strategy
- Helped team make appropriate trade-offs based on quality, scalability, performance, and cost aligned with team’s tech strategy
- Continuously evaluate relevant technologies, influence architecture and design discussion
CEO and CO-Founder
Yottaasys AI Products Pvt Ltd
Bangalore
03.2018 - 10.2022
- As AI leader lead and mentored Visionx and Voicex, cutting-edge AI products
- Highly skilled tech team consisting of Full stack developers, Data Scientists, Analytics developers, cloud engineers, and Devops members
- Voicex was rival product to Gong and product focused upon combining customer-facing interactions across phone, email, and web conferencing to deliver predictive intelligence and analytic insights that can close more deals
- I lead from front in data scrapping, munging and creation of highly accurate AI models with BI layer on top
- Visionx was AI Facial Recognition solution that worked on You only look once (YOLO) and primarily enabled AI lead secure physical access and remote monitoring of physical assets especially in WFH work scenario
- I lead from front in data scrapping, munging and creation of highly accurate AI models with BI layer on top
- Also lead auto annotation product called Labelo, product can auto detect image and create respective labels
- The accuracy of these auto annotated labels was 98% plus
- As a chief data scientist, I was leading, coordinating and managing (ML) and AI in support of our businesses' top priorities
- I also co-owned product vision and strategy
- Including product roadmap, align the same in line with the overall business strategy in consultation with the management, board members and other key executives
- Managing a range of data-driven functions including overseeing data management, creating data strategy, and improving data quality
- Extracting the most valuable and relevant insights from data, leveraging data analytics and business intelligence Monitor, communicate, and address market trends, opportunities, and competitor strategies
- Leverage technical expertise and experience to provide direction, troubleshoot problems and be a natural authority for the team on any technical or product related matters which leverages data
- Multi-disciplinary coordination including, Planning, and managing the activities of a team of Business analysts providing AI/business intelligence to Customers business segments
- Create the roadmap, best practices in platform architecture, data lake design, reporting and analysis data integrity, test design & approach, analysis, validation to ensure the team provides quality work to our end customers
- Bridging the gap between management and the data science teams, helping them understand what machine learning can achieve and conversely, not accomplish.
CEO and CO-Founder
Yottaasys Consulting pvt ltd
Bangalore
12.2014 - 02.2018
- As an AI leader I was leading, coordinating, and managing data science, machine learning (ML) and AI in support of our businesses' top priorities
- I also co-owned product vision and strategy
- Including product roadmap, align the same in line with the overall business strategy in consultation with the management, board members and other key executives
- Created an AutoML manufacturing focused platform called Nirmaan, Nirmaan can auto predict with accuracy levels same as a Kaggle grandmaster and leveraged CMS, PMS and alert data as inputs
- Nirmaan won top 10 AI innovative product and our startup was also qualified as Emerge 50 Startup
- I lead the creation of the core prediction engine Nirmaan and played instrumental role in designing the ELT/ETL feature for data scrapping and munging
- Create the roadmap, best practices in platform architecture, data lake design, reporting and analysis data integrity, test design & approach, analysis, validation to ensure the team provides quality work to our end customers lake design, reporting and analysis data integrity, test design & approach, analysis, validation to ensure the team provides quality work to our end customers
- Partnered with the functional and Engineering teams to align technology decisions, development standards, and overall strategy
- Managing a range of data-driven functions including overseeing data management, creating data strategy and improving data quality
- Extracting the most valuable and relevant insights from data, leveraging data analytics and business intelligence
- Monitor, communicate, and address market trends, opportunities, and competitor strategies
- Created a team of 25 plus emerging tech team members including AI, BI, cloud, Full stack, Devops in a record timeframe of 6 months
- My responsibilities also included Hiring, leading, and mentoring technical staff.
Analytics Head
COE Capgemini
Bangalore
06.2012 - 12.2014
- Established the Analytics Centre of excellence for Capgemini and ramped up a team of 100 plus team members
- During this tenure i was heading the Analytics Centre of excellence and jointly supporting the AI/ML COE which included collaborating, coordinating, and managing data science, machine learning (ML) and AI in support of our businesses' top priorities
- Defined, architected, develop, and executed a comprehensive strategy & roadmap for data, data analysis and strategic customer insights delivered by Capgemini center of excellence
- Provide a unified approach to analyzing all customers data
- Implemented a data-driven strategy that fosters a data-driven culture through trusted data products and simplified user experiences
- Leverage technical expertise and experience to provide direction, troubleshoot problems and be a natural authority for the team on any technical or project related matters which leverages data.
Principal Consultant Analytics
Oracle
Bangalore
06.2010 - 07.2012
- As a principal consultant was involved across 30 plus Oracle Analytics and AI engagements
- Led the team both on the tech and the business side
- During this tenure I received the highest level of recommendation at Oracle i.e
- Most valuable player award 3 times in a row
- Helped oracle in revenue realization of more than USD 200M
Master Principal Consultant
Trinus
06.2006 - 05.2010
- As a Master principal Analytics Consultant in the US i was involved in:
- Providing leadership and direction to the team of consultants for Analytics roadmap, strategy, tool selection and implementations
- Lead dozen plus ETL/ELT and BI Projects as the senior most Analytics Tech member including Communicating with clients for requirement gathering and C level reporting
- Developing long-term strategic plans that address the client's needs
- Proposing solutions to problems using industry best practices and research findings
- End to End Delivery ownership for very high value initiatives (USD 50M and above)
Principal Consultant Analytics Infogain, •AS a Principal Consultant
05.2004 - 06.2006
- For Analytics i owned end to end delivery responsibility of few very top end fortune 500 client projects
- Worked in partnership with clients and project teams to define project SOW accurately and definitively, oversaw change management and transformation project for clients, dealing with processes, staff and systems change
- Led project teams in timely delivery and execution of client engagements
- Trained and mentored 25+ Analytics Consultants to increase team productivity
- Handled complex Analytics problems and issues by understanding root causes and implementing solutions
- Directed and coordinated work completed by Senior consultants and consultants
- Managed, coordinated, and delivered projects to meet agreed timeframes and budget constraints
Senior Consultant
HCl Technologies
05.2003 - 05.2004
- Worked primarily as a senior consultant on Business Objects and Informatica for various client analytics projects
- Trained and mentored 10+ Consultants to increase team productivity
- Promoted continuous business improvement based on knowledge gained from client implementation, previous experiences, and ideas
- Managed, coordinated, and delivered projects to meet agreed timeframes and budget constraints
- Directed and coordinated work completed by junior consultants and other consultants.
Software Engineer
Analytics Freight Systems
Mumbai
07.1999 - 06.2003
- Started my career as a software engineer and was trained on analytics tools such as business objects, Informatica, OBIEE and Oracle data integrator
- After 6 months training was deployed first into internal analytics project which a SCM based analytics project based on Business objects and Informatica
- After completion of the internal project executed various client analytics projects primarily using business objects, Informatica, OBIEE and MicroStrategy
- Devised test cases to probe enhancements and expansions of functionality
- Drove offshore developer performance through clear communication and prioritization
Education
B.E - Mechanical Engineering
GEC Jabalpur
MBA Dropout - undefined
Skills
Extensive experience in working with and reporting to Executive management, managing multiple portfolios while working with customers and peers at all organizational levelsDeep Understanding & experience in AI and Analytics (Predictive Analytics, Statistical Modelling, Data Science, Data Mining & Machine Learning), Product Solution & Project Management related domain)Deep Expertise & understanding of building Statistics, Data Science and Machine Learning models using Python, R, ScalaHave built several Machine Learning Models (CNN, DNN, KNN, Decision Trees, Random Forests, Segmentation & Ensemble Techniques with Artificial Neural Networks), Linear and Logistic regression, K- Means, Decision Trees, Random Forest, Naïve Bayes, SVM, Market Basket Analysis (Association Rules), Cluster Analysis and Time Series (Holt-Winters and ARIMA)Sales/Visit volume forecasting, churn modelling, attrition modelling, response & propensity modelling, marketing mix modelling, A/B testingInvestment segmentation, customer segmentation, promotion analytics, Ad-block effectiveness, campaign analytics, CLTV, product up-sell and cross-sell modelling, market basket analysis, category/SKU/brand segmentation and product recommendationNLP, Virtual Agent, Conversational AI, NLU, NLG, forecasting, prediction, etcIn-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is a mustKnowledge of vector algebra, statistical and probabilistic modelling is highly desirable
Accomplishments
- All popular Courses (Stanford, Udacity Nanodegree, Udemy, Angrewng) completed
- Togaf 9 Certified Architect
- Oracle certified OBIEE, OBIA, Endeca, Hyperion Architect
- Sun Certified Java Developer
- Introduction to Statistical learning
- Elements of Statistical learning
- PROGRAMMING AND SOFTWARE
- Cloud: AWS, Chef, Terraform, S3, Glue, Sagemaker, IAC, Python
- Teradata SQL, Oracle, Toad, Netezza, Snowflake, Kubeflow
- Informatica, Oracle Data Integrator, Cognos ETL
- Business Objects, MicroStrategy, Power BI
- AWS, Azure, GCP,
- Advanced SQL, Pandas, Business Analytics, Project Management, Marketing Campaign Planning and Designing, Test and Control Studies
Additional Information
- Top 10 Global AI Influencers Winner of AI innovator award for India for Year 2018
- Winner of Emerging CEO award for 2017
- Best-selling Author
- Most valuable player at oracle 3 times in a row
- Set up the Capgemini Center of Excellence for AI, which included ramping up a team of 250+ analytics professionals and 50+ data scientists in just two years
- Created and successfully exited 2 data science startups
- Dozen plus best industry awards
- Patent holder and Researcher
Timeline
AI Engineering Head
Schneider India Pvt Ltd
11.2022 - Current
CEO and CO-Founder
Yottaasys AI Products Pvt Ltd
03.2018 - 10.2022
CEO and CO-Founder
Yottaasys Consulting pvt ltd
12.2014 - 02.2018
Analytics Head
COE Capgemini
06.2012 - 12.2014
Principal Consultant Analytics
Oracle
06.2010 - 07.2012
Master Principal Consultant
Trinus
06.2006 - 05.2010
Principal Consultant Analytics Infogain, •AS a Principal Consultant
05.2004 - 06.2006
Senior Consultant
HCl Technologies
05.2003 - 05.2004
Software Engineer
Analytics Freight Systems
07.1999 - 06.2003
B.E - Mechanical Engineering
GEC Jabalpur