Sr. Project Manager - Lead Software Engineer and Developer Resume - Hire IT People

SUMMARY

He is a data scientist with 12+ years of Information Management executive experience and software engineering.
He served as a big - data Senior Consultant in Confidential in NYC and then as a chief data scientist.
Currently, he finds solace at solving problems at the crossroads between Blockchain, IoT and Big Data.
After graduating law school in the top 10%, Confidential joined the private sector to develop project management solutions for multiple Fortune 500 clients.
His solutions for software development lifecycle, product development, and big data implementation continue to be used by market leading brands today.
He is an effective communicator with the ability to convert complex client problems into fun solutions. His craft is typically composed of an accumulation of data types, governed by client rules, which require analysis to unlock sound intelligence for decision making; from raw data to predictive action .
He manages teams spread out in various cities/campuses and jointly engaged in common goals. His lean managerial skills allow him to develop enterprise level solutions that maximize the utility of subject matter experts.
For one of his latest client, an oil multinational juggernaut, Confidential 's team created an effective cost savings deliverable. The dashboard, developed using Tableau, visualized financial opportunities for securing offshore oil rigs at discount prices.

PROFESSIONAL EXPERIENCE

Sr. Project Manager - Lead Software Engineer and Developer

Confidential

Responsibilities:

Part of the challenge was training and teaching medical experts to carry out routine queries by using new tools that differed substantially from legacy systems.
At numerous occasions we found challenges with employees that were familiar with old systems and showed reluctance to use the new data tools.
To convince them otherwise, we embarked on an internal training campaign that showed the efficiency of the new system and allowed shy or technically challenged employees to practice in a fail-safe environment with an expert.
Quality assurance and system integrity tests were routinely programmed to guarantee ongoing operations, client sustainability and success.

Confidential

Project Manager

Responsibilities:

Served as Senior Data Engineer in delivering a highly cost effective solution to the Upstream Commercial Drilling division of the world's largest non-NOC Oil & Gas company (Exxon-Mobil). Duties required to manage technology resources in Houston, San Francisco, New York, Tokyo, Hyderabad and individual offshore oil rigs across five continents.
He was the senior architect in an agile environment that fostered daily teamwork and active client participation. He managed day to day interactions at client sites and liaison between various corporate divisions located in multiple countries; serving as a SCRUM master with control of development sprints, burn-down charts and story points.
The team conducted interviews with drilling roughnecks, rig managers and decision making individuals in over 5 continents with a list of over 5,000 key performance indicators. Data relating to each KPI was integrated into a series of complex system environments and work flows that fed information into a visualization toolkit of dashboards. The self-sustained and refreshed systems updated data in real-time and extended access to over 500 case users with numerous control and access points.
The accomplished toolkit diminished subject matter expertise time spent answering routine questions by 30%. However, the much more valuable aspect of the solution was the contracting advantages it provided. By analyzing market specific data in 10 key performance indicators of productivity and rig availability, the Upstream division had a tool that was then used to leverage contract negotiations.

Architect of Data Engineer and Project Manager

Confiderntial

Responsibilities:

The integration permitted real-time tracking of intermodal containers through over 1,000,000 radio-frequency identification devices (RFID's) that had remote live tracking, temperature control, and tampering or disabling fraud detection. Monitoring allowed to track ship operator's performance, identify patterns of delays and combat fraud while intermodal container goods transit to and from ports.

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