Pradeep - Business Analyst 4G LTE

Consulting - Financial (Independant), May 2016., Strategic Asset & Global Fund Management.

* Founder & Director, Sept 2013 till April 2016, Asphere Consultancy, UK & India.
Big Data Solutions Consulting @ clients -- Beyond Analysis, Vertu, Visa Europe in UK.
Product Management - Big Data Analytics & BI @ Reliance Jio, Mumbai.
Big Data Practice Management @ Alpha Data, Dubai, UAE.

* Systems Tech Lead, May 2011 - Aug 2013, Carrier iQ Inc., London, UK.

* Project Integration Lead, Dec 2007 - May 2011, Qualcomm Inc., Farnborough, UK.

* Senior Software Engineer, Aug 2004 - Oct 2007, Sasken (Anite), Fleet, UK.

* Team Lead, Mar 2003 - Aug 2004, Wipro, Bangalore, India.

* GTE, June 2001 - Mar 2003, Siemens - COM, Bangalore, India.

ACHIEVEMENTS
• Rewarded for Leadership & Excellence as Project Lead.
• Strategic Business planning and Management of complex Big Data platforms project.

PROJECT EXPERIENCE

1) Business Consulting – startup, establish & manage Big Data Practice
Description Alpha Data is one of the leading VAR cum System Integrator in the UAE market having partnerships with hardware OEMs, software product companies like HP, Dell, Cisco, Microsoft, Palo Alto, VMware etc. Alpha Data had very recently started to focus on services businesses like MSP, SaaS and Cloud. Alpha Data was planning to enter Big Data solutions market and wanted to assess market conditions, investments needed, customer readiness, ideal technology partnerships, and problem-solution fit.
Role Start-up & establish Big Data, Analytics & BI practice; Consulting/Project Manager
Skills Big Data Analytics, Hi-Res Image Analytics, Geo-spatial Analytics, Web Analytics, Services Marketing, Consulting & Solution Sales, Strategic Partnerships, Business Use cases, SAS, Customer Experience Measurement, Retail Analytics, Healthcare Analytics, Salesforce.
Responsibilities & Accomplishments • Prepare Vision, Mission statement for the proposed practice and ensure it aligns with overall strategic objectives of the company.
• Produce Marketing Requirements Document (MRD), Sales Strategy, Perform Competition analysis, Market Research, Adapt positioning, promotion and pricing.
• Key player in instigating company’s repositioning to move up the business value chain from a box reseller to total solutions provider for enterprise customers.
• Designed the value proposition for different industry verticals like Retail, Financial Services, Banking, Healthcare, Government and produce collateral, business cases.
• Deployed McKinsey approach to deeply understand customer’s challenges whilst articulating the high level problem-solution fit.
• Marketing/Sales Management - Successfully executed Digital Marketing, Go-To-Market plan and generated over 25 potential leads within first four months.
• Strategic Partnerships - Identified, developed and drove 5 new partnerships with measurable results that complemented our business.
• Conceptualize and articulate customized high-level solution for the exact requirement.
• Manage and lead Proof of Concept (PoC) of partner products and integrated solutions to accelerate solution acceptance.
• Kudos for using Agile delivery methods as a best practice.
• Internal Sales - Trained and developed over 20 existing sales personnel for pitching Big Data business cases in their customer accounts.
2) Product Management @ Reliance Jio
Description Reliance Jio is launching its 4G network and associated innovative OTT digital services pan India. The roll out itself is a huge challenge since its green field. On the other hand customer acquisition, providing great quality of service and managing customer experience is pivotal. This was the driving force for the need of different Analytics Engines, Business Intelligence, Big Data Platforms and Integrated Data solutions at Jio.
Role Product Management - Big Data Analytics & BI
Skills BigData Analytics, Mobile App Analytics, Geo-spatial Analytics, Product Management, Data Mining, KPIs, Machine Learning, Tableau, Qlik Sense, Qlik View, Hadoop, HBase, Spark, MapReduce, R, Pig, Hive, Hdfs, Oracle, NoSQL, Splunk, Mobile Apps, LTE, Android Apps, iOS Apps, Customer Experience Measurement CEM, Google Analytics, Ad Campaigns.
Responsibilities & Accomplishments • Business needs analysis and Requirements Management (RFP, FRS).
• Product Feature Roadmap Management.
• Conceptualize solution using all possible data sources - from devices, CPE, machines, mobile applications, web applications, clickstream data, CRM, Billing systems, Network nodes, Social Media data, CEM, Mobile Devices data, GIS data, Signals data.
• Efficiently manage Big Data Solutions Architecture Design and Integration aspects with many other Databases, Enterprise Data warehouse solutions.
• Build the new Analytics Solution engineering team consisting of Data Scientists, Data Analysts, Operations Engineers, Systems Engineers, Database Admins.
• Formulate a strategy to produce adaptable Visual Analytics that can be consumed by stakeholders CxO, Executive team, Marketing team, Customer Relations team, Operations team and Services team.
• Procurement/Vendor Management - Statement of Work, Service Level Agreement negotiations, Master Services Agreements, Price comparisons, Contract preparation and other Contractual Negotiations.
• Project Implementation Management - Project plan, Scope, Schedule, Effort estimates, Milestones, Cost & Quality (planning, tracking and control).
• Design aspects of Data Governance, Data Management, Data Security and Data Accessibility policies/rules.
• Production Scalability planning for Petabytes of data volumes, traffic volumes, Costing and prepare Cost-Benefit analysis.
• Market acumen into using Advanced Analytics for extracting maximum value out of vast amounts of valuable data.

3) Big Data Solutions Consulting
Description The firm uses significant experience in cutting edge technologies to offer Big Data Solutions Consulting and also Telecom Consultancy services for multiple client engagements/projects. The key differentiators of the firm are understanding of business and the ability to work seamlessly across a number of platforms.
Skills BigData Analytics, Data Mining, Inferencing, Machine Learning, Tableau, Hadoop, HBase, MapReduce, R, Pig, Hive, Hdfs, Postgres, SAS, Oracle, Splunk, NoSQL, NewSQL, Python, Salesforce CRM, EPOS, Mobile Applications, SOAP & REST APIs, Cloud, Ad Campaigns
Consulting Services
• Technical & Strategic Consulting - provide an end-to-end Big Data, CRM & BI strategy based on client’s business needs analysis. Assess opportunities, benefits, risks & success factors of potential in-house or Cloud based solution.
• Technology Innovation - solve problems by comprehending and implementing latest advances in multiple technology domains like Digital, Social, Mobile, Analytics & Cloud.
• Execution Excellence - Managing, leading and delivering profitable client engagements throughout full lifecycle of solutions implementation.
• Collaboration - Conducting client workshops, Q&A sessions to gather and document client requirements, Vendor Management.
• Value Add - Identify new opportunities & providing innovative solutions to clients.
• Procurement/Supplier Management - Build & Develop collaborative relationships across client engagements using different Software/Platform vendors.
• Business Performance - Budget planning and Profit maximization.
• Success Factors - Measuring success using agreed Acceptance criteria.
• Sunset reviews of executed projects with clients.
Clients - Projects • Agile data integration between globally wide spread EPOS systems and Salesforce CRM systems. Design and Implement new Digital Analytics to provide an unified view of their valuable customers. Actionable Insights of customer experience was served instantly to client’s Executive management. The innovative, cost effective solution harnesses the power of Salesforce Cloud CRM to combine data between 3 different databases, de-duplicate to produce correct & uniform information across the organization. In turn this data was used by Marketing Department for Ad Campaign Analysis of boutique services. All implemented without need for expensive and maintenance of intensive Data Warehouse solution. Overall this solution provided Real-time Analytics and very quick turn around for the client’s C-suite.
• Revamped the ETL architecture solution when the huge volume of client’s historical data was migrated from SQL server to PostGres database. Data back up in the third party cloud until final solution was tested and approved. Assured business continuity.
• Architected and Implemented Mobile Ad Campaign analytics solution using Splunk big data appliance for an innovative Mobile Handset OEM client in ultra luxury segment. The solution was capable of serialising JSON, crunching 0.5TBs of data everyday apart from Social Media data. The Visual Analytics dashboard was built using Tableau providing a blended view of Availability, Usability of product from customer perspective.

4) Carrier IQ Inc. ********
Description CIQ’s Mobile Service Intelligence Platform (MSIP) is a BigData processing platform [PaaS] that crunches very large volumes of mobile device data and produces actionable Mobile Intelligence that can be consumed by Mobile Operators/Telcos, Mobile Device Manufacturers. IQ Insights suite provides the KPIs, analysis, inferencing, and visualizations.
Role Systems Tech Lead [Big Data Solutions]
Skills BigData Analytics, Data Mining, Inferencing, Machine Learning (Classification, Regression), Mahout, Tableau, Hadoop, HBase, MapReduce, Amazon EMR, Amazon S3, R, Pig, Hive, Hdfs, CIQ’s MSIP platform, Java, GridSQL, Oracle, Python, Postgres
LTE, VoLTE, UMTS, IOS, Android, Mobile Applications, Git, Jira, Jenkins
OS, Tools Linux, Unix, Perforce, Github, Jenkins
Responsibilities & Accomplishments • Working in a fast paced startup environment - Hands-on throughout the full product life cycle of mobile devices data analytics from project mandate, business requirements, technical specifications, SoW, implementation, customer adaptations and until commercialization.
• Created, benchmarked and profiled prototypes to tease out the Analytics data problem.
• Provide the visualizations of top influencers or influencing factors from the mobile devices datasets and where possible include other conclusions/derivatives.
• Ensure that all aspects from Statement of Work are captured into the product design and finally it also meets customer expectations.
• Ensure that analytics data & inferences output is tolerant to faults and consistent even if there are some minor failures in the MSIP platform stages.
• Interfacing with internal & external sponsors impacted by the delivered products.
• Build close relationships with customers to garner feedback during project delivery & use those inputs for development of new analytics offerings.
• Concept validation of new data analytics for LTE & VoLTE, Pilot & trial identification, overall execution, and evaluation of product progress at milestone checkpoints.
• Automate the analysis of vast mobile devices data and provide heuristics & reports. The heuristics were for targeted problem detection and improving efficiency.
• Ensure that analytics implementation does not undermine the scalability & performance of large scale parallel processing grid nodes.
• Automated ETL both for in and out flows into customers Enterprise Datawarehouse
Value Add Innovation • Analyzed properties of a 1TB (1 billion+ vertices) graph using Pig, Hadoop on Amazon Elastic MapReduce, Amazon S3 cloud.
• Designed Data Ingesters to handle a variety of mixed datasets and use it in the flow-processing pipeline. Hands on with Twitter data stream statistics.
• Worked on a mechanism to detect the false conclusions, false predictions produced by the Analytics & Insights.
• Involved in opportunity assessment on new ideas, use cases and concepts.
Duration 2 years 4 months (May 2011 -- August 2013)

5) Qualcomm Inc. ********
Description QCT provides complete chipset solutions and integrated applications for various Tier 1 OEMs & Mobile device manufacturers. The vital modem software needs to be integrated onto a variety of chipset platforms and delivered to cater to wide range of customer requirements & devices. This also involves ensuring that each Project delivery contains committed feature sets, proper functionality, existing/new features are tested and delivered whilst maintaining software quality at very high levels.
Skills ARM architecture, Mobile Handset Chipsets/ Platforms architecture, SoC Integrations
C, C++, JTAG debuggers, Lauterbach Trace32, Quality Testing, Performance Evaluation
Telecom - LTE/ GERAN/ UMTS modem protocols & procedures.
Agile Development & Delivery methods, Scrum Master, Microsoft Project, Gantt Charts
Role(s) Project Integration Lead [Staff Engineer]
OS, Tools Android, Linux, WinMobile, L4/Rex, BMP, Symbian, Perforce, Prism, Klocwork, Lint, SLOC, Memory Budget Analysis, FMEA, Fishbone, Pareto Chart, Maturity Matrix
Project IntegrationLead • Effort estimation and plan Project deliveries.
• Project Dashboard Analytics.
• Efficiently manage project teams spread across 4 different time zones and international locations.
• Risk management in the project and apply appropriate mitigation strategies with possible back-up solutions as well.
• Recognized performer by senior management and go-to-person for new projects and leadership roles.
• Scrum Master/ Scrum Champion in defining and prioritising the tasks/ issues list and getting real-time feedback about progress and making decisions.
• Use brainstorm sessions and focus groups to attack critical issues involving different multi-functional teams.
• Drive peer teams to achieve their targets in order to reach project milestones ahead of program plan.
• Kudos for dynamically applying ‘democratic’ and ‘affiliative’ leadership styles within the project team and external teams.
• Acknowledged for bringing focus and prioritizing on market needs, customer expectations.
• Appreciated for implementing new employee incentives that boosted motivation and performance.
• Single and reliable point of contact in Chipset Product Program review meetings.
• Technical coordination during full life cycle of new feature development & integration like conducting Feature Review Boards, inputs to new Test Requirements etc…
• Conduct and assess Feature Complete readiness reviews and Commercial Sample readiness reviews using variety quality metrics like Functional test reports, Performance test reports, Code Quality metrics, Bug reports, IOT reports etc.
• Competitive analysis of other semiconductor chipset products e.g. power consumption comparisons and concurrency scenario requirements.
• Focused execution and timely delivery to meet demands of dynamic environment.
• Ownership of issues and driving towards closure.
Accolades • Recommended level based assessment and quality KPI metrics driven monitoring of project.
• Proactive preparation in advance for smooth integration of new technologies and new handset OS like Android, WinMobile, Brew
• Ensure that customers are able to launch their mobile products without any delays by closely tracking launch gating quality issues of the mobile chipset product.
• Suggested & implemented several business process improvements, process efficiency ideas and automation.
Duration 3 years 6 months (Dec 2007 -- May 2011)

6) Sasken - Anite Telecoms (UK) [client] ********
Description This project is for system/ protocol/ software design and development of Anite Telecoms LTE (U-SAT) equipment that could be used along with Developers Toolset, Conformance Toolset, Network Simulator software products for mobile handsets.
Role Systems Engineering [Senior Software Engineer]
OS, Tools OnTime RTOS, MKS Source Integrity, CVS, BoundsChecker, FMEA, Maturity Matrix
Skills Embedded programming, Embedded studio debugging tools, TCP/IP (Socket) Programming, C++, STL, UML OOAD, COM, Mobile Applications
Telecom - LTE architecture, layer 2, layer 3 protocol & procedures.
3GPP RAN workgroups meetings for LTE specifications development
Responsibilities & Accomplishments • Systems Engineering Design for the world’s 1st LTE measurement product.
• Embedded protocol development of EUTRAN RLC & interfaces with RRC, MAC.
• Prepare, contribute & maintain Functional specification of LTE RLC.
• OOA Design of RLC layer - its entities, queues, etc. using UML (Rational Rose). Perform analysis of the design using sequence diagrams and use cases.
• Develop prototype models for further analysis before detailed design.
• Research benchmark analysis of the embedded system (processor load, memory consumption) and analyze scope for possible future requirements.
• Cross platform portability study to suit an embedded target.
• Knowledge of various processor architectures, cPCI based target systems.
• Contribute to review of 3GPP functional specifications of LTE MAC, LTE PDCP.
Additional Responsib--ilities • Project effort estimation and release planning.
• Mentoring and ramping up new joinees in the team.
• Configuration Management for the project. Handled CM tools like VSS, WinCVS.
Duration 3 years 3 months (Aug 2004 -- Oct 2007)

PROFESSIONAL TRAININGS & CERTIFICATIONS
• Data Mining, Machine Learning from Stanford University online.
• Agile Development Methodologies and Delivery Techniques.
• Six Sigma Quality Concepts - Wipro.
• Marketing Analytics in Practice - Illinois University online.
• Software Product Management - University of Alberta.
• Operations and Customer Analytics - Wharton online.
• Hadoop Advanced - Cloudera.
• Effective Communication Skills.
• LTE Protocols & Signaling - Award Solutions.