SUMMARY

• PMP Project Manager with 8+ years of focused experience in tactical and strategic delivery within management and technical consulting in the field of IT Infrastructure, Data Network Technology, Customer Support and Delivery, Telecom, and Network Management.
• Experience in data analysis, data visualization using Tableau/Microsoft Power BI, model building with machine learning algorithms for prediction and forecasting using data (historical or timeseries with regression techniques), using statistical/econometric tools like SAS and R, data mining using python, SQL, WEKA, Hadoop, Spark, Hive, Impala etc.
• Proficient in strategic planning, people management, service quality improvement, coordination, and leadership.
• Experienced in financial reporting and budgeting for existing engagements and upcoming proposals.
• Experienced in Leading and Managing of project teams with Agile/SCRUM and Waterfall methodologies.
• Management abilities span areas of change management, organizational, motivational, estimating, strategic thought leadership with a complimenting blend of adept technology skills.
• Proactive team player with the ability to work in a globally dynamic environment. direct interaction with customers, executives, and software architects with clear written and oral presentation of ideas.
• Experienced to handle multiple tasks/sub - projects simultaneously, organizational skills, virtual and cross-functional, globally dispersed teams.
• Experienced with data network technologies, routing, switching, VOIP, UCM Cisco Video Conferencing tools (creating, monitoring, and tweaking video conferences over the cisco tools), CA Tools (Spectrum, e-health, Service Desk), ICRM/ECRM Oracle base customer relationship management applications, M6 Metasolv.
• Adept in maintaining communication with project stakeholders and manage expectations evaluate projects and assess results
• Proficient with Microsoft operating systems and MS Office tools (Excel, Word, PowerPoint, Access, Outlook), MS Project (Project Management)

TECHNICAL SKILLS

Certifications: PMP Certified PMP® #1824099 (PMI Member), CCNA Certified CISCO ID - CSCO11818666

Software: Python, Java, C++, R, Big Data HDFS (Hadoop File System), SPARK (Spark RDD, Spark SQL), Hive, MapReduce, Impala, H-Base, Flume, SQL, SAP, Unix/Windows Shell Scripting

Process: Agile/Scrum, Kanban, Waterfall.

Knowledgebase: Statistical Modeling, Data Mining, Data Science, Data Warehousing, ETL, Quantitative Analysis, Project Management, BI Reporting, Agile Methodology, Unified Modeling Language(UML), Big Data Analytics, Econometrics, Advanced Business statistics, Forecasting, System Analysis and Design, Database Management Systems, SAP.

PROFESSIONAL EXPERIENCE

Confidential, Frisco TX, USA

Data Analyst

Responsibilities:

• Managing services and products, delivered across different phases of the project roadmap on par excellence.
• Support data analysts and product managers by turning business requirements into functional specifications and then executing delivery.
• Working with Product Owners, Domain Architects, Solution Architects, Developers, and Data Scientists to deliver BI and Analytics projects
• Integrate an understanding of data and analytics into the existing and future decision-making processes of the entire organization, specifically in the areas of risk management, performance management, and technology. To drive solutions by recommending and adopting suitable tools and technology
• Operational KPI Data Preparation & Review with Product owner and other stakeholders. Solve analytical problems and effectively communicate methodologies and results using SQL, Hive Query Language HQL
• Regular risk management and business continuity planning. Employing the appropriate tools and methodologies to discover patterns.
• Using Python, UNIX shell scripting and other object-oriented languages to preprocess and manipulate data to be ingested or worked on. Experience with Hadoop 1.0 and 2.0 ecosystem with MapReduce, YARN, SPARK, SQOOP, HIVE, IMPALA, Hbase, FLUME.
• Drawing inferences and conclusions to create dashboards and visualizations of processed data to identify trends and anomalies. Performing data related benchmarking, performance analysis and tuning.
• Understanding of Data warehousing and ETL concepts. Understanding of entity relationship diagrams and DBMS concepts.
• Built relationships to facilitate team interactions and enable the creation, prioritization and maintenance of product backlog and refinement.
• To recognize and adopt best practices in development, testing and documentation to improve the current processes.
• Root Cause Analysis and Retrospectives among the teams to improve the productivity and aid the team to eliminate future impediments.
• Ensure team’s growth & learning index is managed and career expectations are met, and guidance is provided.
• To work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area and help the teams adapt to ad hoc business requirements with no schedule slippage help.

Confidential, Frisco TX, USA

Big Data Engineer

Responsibilities:

• Customer Business data processing, computer programming, management information systems, and problems involved in business information processing systems
• Worked on Big data Hadoop projects with technologies like MapReduce, SPARK for parallel processing data in HDFS. Worked on Hive, Impala, H-base data using HSQL and Impala SQL
• Solving business problems using the scripting language (Python, Java). Implementing solutions using object-oriented programming concepts, file handling, database access, and graphical user interfaces
• Computer networks and data communications including principles of communication and networking protocols, hardware and software, architectures, and management issues
• Comprehensive study of database technology and applications. Data models, query processing (SQL), relational database design, and implementation. Including hierarchical, network, relational, and object-oriented models, data dictionaries, distributed databases, evaluation, and selection of database management systems (DBMS), and data administration.
• Methods of information systems analysis and design, system development life cycle (SDLC) and methodologies associated with the SDLC. Also, feasibility analysis, requirements definition, systems design, data design, coding design, programming, and implementation
• Data Mining for business analytics and Predictive Modeling using various techniques used in data science, including preprocessing of data, classification and regression, and text mining
• Concepts, tools, and technologies associated with the design and implementation of data warehousing (DW) SAP and business intelligence (BI) applications
• Tools and techniques from the fields of machine learning (AI) and statistics used in practical data mining for finding, and describing, structural patterns in data. Including: Knowledge representation and different types of data; Techniques for data pre-processing, cleaning, reduction, transformation, and visualization; Methods for Classification, Clustering, and Association Rules, including Decision Trees, Rules, Naive Bayes, k Nearest Neighbor, Neural Networks, Support Vector Machines (SVM), One R, Regression, A-Priori, K-means, and hierarchical and density-based clustering; Performance evaluation of data mining algorithms using metrics like precision, recall, f-measure, and ROC curves

Confidential, Frisco TX, USA

Data Analyst

Responsibilities:

• End to end Production Operation and Service Delivery, Escalation Management
• Handling outage calls or service impact issue and monitoring & reviewing all sorts of communication that goes out to senior management
• Interacting with the designers, developers & technical architects for different purposes like to find out any strategic solution for operational issues
• Interacted with clients for maintenance purposes like any issue which may require bug fixes etc.
• To recognize and adopt best practices in development, testing and documentation to improve the current processes.
• Root Cause Analysis and Retrospectives among the teams to improve the productivity and aid the team to eliminate future impediments
• Ensure team’s growth & learning index is managed and career expectations are met, and guidance is provided
• Monitor & Troubleshoot any issue during 24*7 batch run or address any concerns raised by the customers
• To help the teams adapt to ad hoc business requirements with no schedule slippage

Confidential

Project Manager

Responsibilities:

• Customer kick off meets along with solution, design & sales team for initiation & planning of a project.
• Sharing reports and updates to customer. Sharing important milestones, dates, schedules, status dates along with expected phase wise delivery timelines.
• Reviews with cross country teams. Delegation of executables to internal teams/vendors across nation. Project Co-ordination with several teams across nation for provisioning, implementation, installation on regular.
• Updating enterprise project management tool for providing updates to PMO, generating project status reports.
• Testing, troubleshooting, and delivering MPLS VPN, ISP, VSAT, local loop, and International local loops lease line circuits on Radio/Copper/Fiber media before handing over link to operation and maintenance. Coordinating modem, router, hardware installations from POP to customer end.
• Customer WAN testing on firewalls and internal LAN (routing and troubleshooting customer multi-site connectivity). Router configuration/installation support with end to end routing for VPN and Internet circuits.
• New fiber site plan creation and network augmentation requests for MPLS/ISP connectivity. IP/Bandwidth (E1) planning and provisioning for MPLS/ISP circuits. Tulip Telecom Ltd, India Designation - Network
• Support Engineer (NOC) Following are responsibilities/learning as Engineer Network Op Center Tulip
• Design, install & configure LAN/WAN as per organizational requirement, governed by communication protocols.
• Configuring routers, switches, firewalls, and other networking devices like UCM, voice gateways and Servers etc.
• Worked on Cisco Voice and Video tools for establishing Voice/Video conferences over MPLS and internet.
• Worked on NMS (Network Management System) software/products by CA i.e. E-health, Spectrum, Service Desk. Generated reports for network uptime/downtime and device availability, reach ability, bandwidth etc., Spectrum monitoring tool, Service Desk (fault ticket server).
• Troubleshoot all networking problems to ensure minimum downtime and maximum availability of network.
• Liaison with data connectivity service providers BSNL, Reliance and Bharti.