Shrish
Data Science with Python Trainer in Pune
- Machine Learning
- Data Science with Python
- Location
- Pune, India
- Trainer Since
- February, 2016
Data Science with Python Trainer in Pune
About Shrish
Shrish is a true Go Getter with 16 years of experience in Digital Transformation deliveries across technologies, including AI/ML Analytic products, Digitization, Web, Mobile & Cloud (Azure/GCP). He has conducted training needs assessments: Identifying employees' skills gaps and training requirements to design and deliver effective training programs. He has also developed training materials such as presentations, manuals, and handouts.
Shrish has conducted 100+ corporate training on Data Science, Statistical Modelling, Advance Data Analytics, and Machine learning. Also, he keeps expertise in conducting training sessions, workshops, and seminars on various topics related to the organization's operations and goals. His expertise includes evaluating training effectiveness, where he measures the effectiveness of training programs using feedback from trainees, assessments, and other metrics.
Shrish has expertise in developing and updating training policies and procedures to ensure the training programs meet organizational and regulatory requirements.
Shrish is a Corporate Trainer For
Machine Learning
Training Since:February, 2016
Data Science with Python
Training Since:June, 2018
Work Experience
Associate Director
Banking, Financial Services and Insurance · December, 2021 - present
Roles & Responsibilities
- Led and transformed AI, Analytics, and Data sciences practice
- Build offerings, platforms, solutions, and capabilities - to create a differentiating position for the company in the market
- Primarily responsible for business growth and establishing the company as a thought leader in AI, Analytics, and Data Sciences
- Contributed as a leader to position Company in Digital transformation services business leveraging future-focused AI, Analytics/Data sciences capabilities
- Build /transform the practice leadership team to be a front-line customer-facing consulting and advisory engine
- Established and nurtured strategic relationships with partners and tool vendors
- Engaged customers as a thought leader by building and leading an elite pool of architects/specialists/data scientists
- Worked with all other practices to drive Analytics and led the transformation of offerings as well as the way we deliver our services
- Managed Presales solutions sales enablement responsibilities for practice
- Build and nurture a talented pool of specialists in practice as a people manager
- Established connections with industry stakeholders and managed analyst relationships
IT Cluster Head - Data & Analytic
Banking, Financial Services and Insurance · January, 2019 - December, 2021
Roles & Responsibilities
- Comprehend Problem Statements and needs
- Articulated Customer pain points with Architects and Design teams to arrive at feasible solutions
- Brainstorm Ideas and devise Product Roadmap based on module components
- Analyzed and tracked Metrics – HEART & AARRR, Acquisition, Retention, Activation, Adoption, Happiness, Engagement, Conversion rate, Churn, and Bounce rate to measure success and KPIs.
- Involved in Customer Segmentation and drafting Value Propositions for each Segment.
- Sketched low-fidelity wireframes and flowcharts for the UX Designers to offer intuitive and Self-explanatory mockup pages
- Ideated with Legal, Compliance, and Content analysis teams to extract consistent headers, and messages, and Help texts
- Delivered live demo to engage Stakeholders from the early stage of development
- Built a modern SME commercial digital bank in HSBC – Kinetic (https://hsbckinetic.co.uk). The first-of-its-kind digital bank built on top of one major cloud provider and utilizing Kubernetes
- Responsible for Data and Digital delivery with a fully supported DevOps pipeline in place
- Developed strategies for effective end to end Analytic solution
- Led and developed a team of data analytics and Analytic COE
- Explain/present/justify results to stakeholders and maintain an analytic model
- Reviewed Data collected, cleaned, transformed, and validated processes for arriving at conclusions
- Presented data in the form of charts, graphs, and tables for immediate reference
- Performed audit on all data for business development resolution
- Applied Analytics on Lending, Overdraft, Credit card Journey, Non-profit Donor History, demographics, psycho graphics, campaign data, donation Non-Profit Donor Analytics
Enterprise Data Architect
Computer and Information Technology (IT) · August, 2014 - January, 2019
Roles & Responsibilities
- Developed, processed, cleansed, and enhanced data collection procedures from multiple data sources
- Conducted & deliver experiments and proof of concepts to validate business ideas and potential value
- Test, troubleshoot, and enhance the developed models in distributed environments
- Designed and implemented scalable predictive models, classifiers leveraging machine learning, data regression
Skills
- R
- Data Science
- NLP
- Python
- Statistical Machine Learning Modelling
- Predictive Mpdelling
- Machine Learning
- Communication Skills
- Team Management
Education
Business Analytics
Advance Business Analytics
2017-2019
Computer Science Engineering
Computer Science Engineering
2001-2005
Projects
Digitizer
July 2021 - currently working
CMO
March 2013 - July 2015
Kinetic
February 2019 - July 2020
CAFE
April 2007 - November 2009
Fluxx
March 2015 - July 2018
Trade Station
July 2009 - November 2011
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