PRASHANT RAMAPPA
Professional Data Scientist/ Director-Datascience
Bengaluru,Karnataka
Summary
Experienced Data Science (AI & ML) professional with a proven track record of exceeding company goals by adhering to standardized and well-organized procedures. The ability to work under pressure and adapt to new situations and challenges in order to best enhance the organizational brand. Machine Learning and AI (NLP) are data science strengths, which are supported by an academic postgraduate degree in Data Science and a Doctor of Business Administration(DBA) with NLP (in progress). I have over 18 years of experience in the IT-software industry, with a focus on both technical hands-on and leadership roles. 6+ years of extensive work experience in the machine learning and artificial intelligence fields. Proven experience analyzing, developing, and deploying AI and machine learning solutions for the benefit of organizations.
Overview
18
18
years of professional experience
6
6
years of post-secondary education
2
2
Certificates
3
3
Languages
Work History
Principal Datascience
AT&T Communication Services
Bangalore, Karnataka
05.2018 - Current
- Responsible for developing and delivering NLP/NLU-based models such as Contact Accuracy, which will result in a 10% increase in efficiency. Classification-based models such as Power Prediction to Circuit, Regression-based models such as End to End Order Cycle Prediction helped in increasing customer experience, and Event-based Churn Propensity Modeling helped sales and support teams to give more importance to high-propensity customer in turn retention of around 1% to 2% increased , among others.
- Established a strategic vision and roadmap for data science development, collaborating with business functions to define and propose data science solutions, and leading charge to deliver data science solutions in collaboration with global data science team.
- Performed and Evaluated business objectives, determine stakeholder needs, and identify requirements. To achieve business results, select best-fit methods, define algorithms, validate, and deploy models. Perform necessary data preparation and enhancements to models
- Lead development of advanced analytics solutions supporting Data Engineering and Other Stake holders.
- Actively engage with stakeholders across business to identify applications across enterprise, beyond initial use case, and lead implementation of these applications to capture business value and enhance use case to cover more edge cases.
- Evaluate models and approaches, help identify capability gaps, develop and teach best practices and technology standards, and collaborate with rest of Analytics organization's global data scientists and technical leads.
- Work effectively with cross-functional teams in analysis of highly complex data sets using advanced analytics techniques such as machine learning, advanced statistical analysis, visual analysis, text analysis, mathematical optimization, and simulation. Identify modeling attributes and parameters
- Follow best practices and standard processes for model validation and refinement as per business requirements and owning them in improving model.
- Use statistical concepts like Standard deviation, MSE, MAE,ROC curve, Decile Analysis to evaluate models and predict performance of data science models and other experiments in production
- Leading data scientists across domains to ensure functional excellence in this technical field, and providing mentoring, technical leadership, and training to the data scientist community to accelerate and develop this talent base.
- Liaise with data engineers on building data marts, reports, data warehouse, data pipelines, and data tracking mechanisms.
- Conducted case studies and effectively communicated findings to establish cause and effect relationships from data analysis and separate causation from correlation.
- Educated peers and other leaders in company about importance of data science and analytics.
- Understand underlying data architecture such as schemas and table relationships for data extraction and configuring new reports.
- Ability to work with large volumes of data and will help in tuning RDBMS query, Data modeling, Architecture and solving multiple profile data using bridge table.
Product/Project Manager -Data Analytics
IQVIA
Bangalore, Karnataka
06.2015 - 02.2018
- Product development includes products such as Imputation and Projections, which are based on Naive Bayes and Regression Analysis, respectively.
- Custom imputation of health care market research data to be imputed during missing information.
- projecting geographical location to be covered at national level with the partial collected dataset. Imputation & projection based on the distance calculation, attribute weights and panel to specific location-based approach will lead to proper projection.
- Advanced querying, visualization, and analytics tools were used to analyze and process complex data sets.
- To collect and analyze data from partners and customers, used a variety of professional statistical techniques as well as large databases.
- For reporting/monitoring purposes, we developed complex SQL scripts and ETL process for consumer data source.
- Applied appropriate data science techniques to solve business problems.
- Data visualization graphics are created by transforming data sets into comprehensive visual representations.
Technical Project Manager
Algonomy(Previously Known as Manathan Systems)
BANGALORE, Karnataka
02.2014 - 06.2015
- Lead Projects as a Technical Project Manager and provided solutions to enable “Customer Analytics” and “Merchant Analytics”-Data warehouse and Machine learning -Especially using Clustering algorithm for Test and control group marketing in Customer Analytics produce and implemented for multiple clients.
Leveraged artificial intelligence and machine learning algorithms for standalone products and enhanced existing product offerings. - Leading and managing project teams throughout project lifecycle, providing support and guidance on technical and project-related issues.
- As Data Architect , Logical and physical Data model for Leisure industry (Water World, Resort, and Club) and Loyalty streams for NTUC Club project as a Data Architect (dimensional modeling).
- Guiding teams for assessing client requirements and mapping them to business solutions. Project planning, effort, design, scope, estimation, resource coordination, and delivery, as per specified timeframes. Implementing project plans within pre-set budgets
- Performance tuning for DB2 and Teradata complex SQL queries, creation of a table space and column distribution based on the physical model, physical design considerations (range partition, distribution clause, run stats, Reorg), Materialized view, partitioning, and compression. In-depth knowledge of DB2 Explain to analyze and improve query performance.
- Understanding technical challenges involved and writing Tech spec, covering technical design and all the technical changes required.
- Participated in the design, estimation, and development of an application using SQL.
Associate Technical Architect/Leader
Target Corporation India Pvt Ltd
Bangalore, Karantaka
02.2008 - 02.2014
- Worked as a Datamodeller , modeling logical and physical Data modelling for Project like Food Merchant Analytics [Mart] and Inventory Re-architecture Project [Foundation and Mart] .
- As a subject matter expert (SME) for Inventory Area of Supply Chain Distribution Management (SDM), I assisted in Data modelling design, development, implementation, and problem resolution.
- Develop and implement High Level Design and Low-Level Design Document creation for Foundation and Mart module. Well versed in UNIX shell scripts and Data modelling
- Teradata complex SQL query writing skewed redistributions, join order, optimizer statistics, physical design considerations (PI and USI and NUSI and JI ), Join index, partitioning, compression. In-depth knowledge of Teradata Explain to analyze and improve query performance.
- Performance tuning on DB2 using MDC, distribution, with clause SQL, run stats, reorg etc
- Worked as a domain expert to develop integration patterns and understand Implementation requirements.
- Develop and oversee solution components via the setup of a Data services competency team. Project coordination cross functional teams including outside vendors.
- Convert business requirements to technical solutions.
- Handling huge amount of data using Teradata and DB2 ELT Approach.
- Performance tuning and optimization of Data stage Jobs, Teradata SQL. Support SIT, OAT, and Production teams.
- Coordinate with Business Analysts and Team on the requirements gathering, analysis and development into functional solutions. Perform data profiling about the source system.
Consultant
SYMPHONY TECHNOLOGY GROUP (NOW HARMAN)
Bangalore, KA
04.2007 - 02.2008
- Analyzed external data (IRI - Point of Sales data) to integrate with internal data.
- Designed ETL load strategy
- performed reporting & information delivery layers
- Offshore Project delivery management
Education
Doctor of Business Administration - Artificial Intelligence And Machine Learning -NLP
Swiss School of Business Management
Switzerland 03.2021 - Current
Post Graduation -Business Analytics And BI - Datascience , Machine Learning And AI
Great Lakes Institute of Management
Chennai, TN 04.2017 - 04.2018
Bachelor of Engineering - Mechanical
V.T.U
Belgaum, KA 06.2000 - 06.2004
Skills
SQL
Certification
PMP- License 1702782. (expiried)
Accomplishments
Technical Speaker
Presenter Master class of Demystifying Datascience and Carrier Opportunities at Tech Spark 2019.
Refer Link below video & blog
https://www.youtube.com/watch?v=1vhEO_VkSps
https://yourstory-com.cdn.ampproject.org/c/s/yourstory.com/2019/10/great-learning-data-science-master-class/amp
Additional Information
- Hobbies: playing guitar(beginner) and playing cricket.
- Permanent Address:-Prashanth Nilaya, Sharavathi Nagar, 4th Main, A Block, Shimoga-577201, Karnataka
- Current Address- 220/1, Durgamba Niliya, Nagarbhavi 2nd stage, 13th block, 3rd cross, Near Aryan’s presidency school, Bangalore-72
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote
Every problem is a gift—without problems we would not grow.
Tony Robbins
Timeline
Doctor of Business Administration - Artificial Intelligence And Machine Learning -NLP
Swiss School of Business Management
03.2021 - Current
CSM- License 560796 (expired)
06-2020
PMP- License 1702782. (expiried)
12-2019
Principal Datascience
AT&T Communication Services
05.2018 - Current
Post Graduation -Business Analytics And BI - Datascience , Machine Learning And AI
Great Lakes Institute of Management
04.2017 - 04.2018
Product/Project Manager -Data Analytics
IQVIA
06.2015 - 02.2018
Technical Project Manager
Algonomy(Previously Known as Manathan Systems)
02.2014 - 06.2015
Associate Technical Architect/Leader
Target Corporation India Pvt Ltd
02.2008 - 02.2014
Consultant
SYMPHONY TECHNOLOGY GROUP (NOW HARMAN)
04.2007 - 02.2008
Bachelor of Engineering - Mechanical
V.T.U
06.2000 - 06.2004
Interesting Use case solution
One of the use cases we're currently pursuing is contact accuracy. The use case is to use the customer's log data, and the conversation log contains the text of the conversation that was used to contact the customer Tech support team for clarification or completion.Customers can be contacted in two ways: via phone or email.
1. Call-Did they reach the customer?Did they speak?
2. Email- Was it a success or a failure to send an email?
There were around 70% of the time customer tech support could not reach customer and that creates a wastage of money , time and effort. We have to identify whether an Asset or customer unique id , we had the recent success or failure. If successful, obtain an email address and phone number, and categorize this asset as a good contact, a bad contact, or a neutral contact (where we were unable to categorize).
After gathering more information, we determined that context-based log extraction should be used for the aforementioned use case. For that we have to use NLU. (During the interview, I will explain how we solved the problem).
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