Joseph Skiff has over 15 years of experience in sales analysis, operations planning, and financial management. He has a track record of developing processes and reports to improve sales performance, maximize revenue, and streamline operations. Currently he is a Sales Analyst at Metro Media-US where he analyzes sales data, creates forecasts, and reports on KPIs to support executive management decisions.
Tom Barette Resume - Finance ManagementTom Barette
My name is Tom Barette and I am a 10+ corp. financial planning & analysis professional (MBA) in Los Angeles. Seeking opportunities that include modeling, presentations, budgeting and forecasting. My track record includes collaborating with management teams in setting and evaluating KPIs and profitability goals.
Areas of Expertise,
• Financial Planning and Analysis
• M&A Due Diligence Support
• Post Merger Financial Integration
I have over 10 years of experience in forecasting, budgeting, planning & analytical modeling in the Los Angeles area. I offer my solid financial management background in creating and improving value-added processes, building effective relationships with key decision makers and collaborating with management teams in setting / evaluating key performance indicators and profitability goals. barette@pacbell.net; 818-808-5107
Tom Barette Resume - Finance ManagementTom Barette
My name is Tom Barette and I am a 10+ corp. financial planning & analysis professional (MBA) in Los Angeles. Seeking opportunities that include modeling, presentations, budgeting and forecasting. My track record includes collaborating with management teams in setting and evaluating KPIs and profitability goals.
Areas of Expertise,
• Financial Planning and Analysis
• M&A Due Diligence Support
• Post Merger Financial Integration
I have over 10 years of experience in forecasting, budgeting, planning & analytical modeling in the Los Angeles area. I offer my solid financial management background in creating and improving value-added processes, building effective relationships with key decision makers and collaborating with management teams in setting / evaluating key performance indicators and profitability goals. barette@pacbell.net; 818-808-5107
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
1. JOSEPH SKIFF
172 East Clay Avenue, Roselle Park, NJ 07204
Cell. (908) 295-5784 jskiff@verizon.net
http://www.linkedin.com/in/josephskiff
MANAGER / ANALYST – SALES & OPERATIONS PLANNING / SALES SUPPORT
Developing & Implementing Policies and Procedures to Drive the Planning and Support of Sales Activities
Sales Forecasting and Trend Analysis Management Reporting Revenue Assurance
Financial Analysis Budget Management KPI Administration
Sales Pipeline Analysis Sales Compensation Tracking Sales Support
SYNOPSIS OF SIGNIFICANT ACHIEVEMENT
Proactive co-recipient of an International Carrier Services and Sales “Excellence in Teamwork” award recognized for driving a project
to implement a critical rating component to the network traffic routing system, within a 6 month period, which was used worldwide
by 22 business units to drive sales strategies and planning.
Commended for flexible, positive, and enthusiastic performance (Spot Award) during period of productivity challenges created by
temporary and unforeseen absence of key colleagues.
Co-developed procedures to avoid $400K in lost annual revenue as well as processes to streamline the administration of key busin ess
information, to win Division Achievement Award.
Co-recipient of Quarterly MVP Award for economical and efficient handling of sales support responsibilities and fiscal acuity.
PROFESSIONAL EXPERIENCE
Metro Media-US, New York City, NY (January 2015 – Present)
Sales A nalyst
Assigned to compile, analyze and report information pertaining to 5 Sales Teams located in 3 US locations, covering 4 Executive Sales
Directors and 40+ Sales Representatives of a news media company. Provide support and analysis including daily, weekly, monthly,
quarterly and annual sales status and activities reports, and implement sales forecast s and projected trend analysis and SWOT
analysis to CEO, CFO, CIO and US Executive Management; create sales productivity metrics; sole responsibility for all aspects of sales
commissions reporting for all levels of Sales Division from Executive Sales Directors to Sales Representatives; maintain control of CRM
system; enable sales segment strategy to develop short, medium and long term goals; facilitate strategic planning for Executive
Management in developing individual and team budgets, targets and plans; challenge business units on their plan execution
assumptions, benchmarks and KPI; provide ad-hoc analyses for all levels of Management through individual Sales Representative
inquiries.
• Key financial analyst for CEO an Sales Directors - analyzing revenue against targets, and profitability by collecting, monitoring, CRMdata on a
month-over-month basis, across US operations
• Implement, improve and evaluate sales forecast models, sales productivity metrics, and compensation metrics
• Perform monthly and quarterly commissions and sales bonus reporting
• Compare and analyze actualresults with budgets and forecasts, providing trends and monitoring variances of KPI
• Prepare monthly and quarterly bonus accruals for Finance
• Distribute monthly commission reports among teams and Executive Management
• Maintain historical data of measured revenues, and track monthly OPEX (COS) reporting
Metro PCS – NY, LLC, Hawthorne, NY (May 2008 – January 2015)
Sales Support Coordinator, Direct Sales Operations {A pril 2009 – January 2015}
Assigned to compile, analyze and report information pertaining to 16 retail locations and more than 175 sales representatives for phone
and accessory sales (net adds, gross adds and associated projected trend analysis) on a weekly / monthly basis to senior management;
perform run rate analyses for better financial planning and target assessment; create and monitor in-store security budget; track cost
per gross subscriber additions and sales margins; track sales contest activity; and perform sales representative OT assessments, CRM
data maintenance.
• Key financial analyst for Sales Director and SVP - analyzing revenue and profitability by collecting, monitoring, and studying overall handset sales,
accessories sales and rate plan attachment data on a month-over-month basis, and on a store-by-store basis
• Compare and analyze actual results with zero-based budgets and forecasts, providing trends and monitoring variances of direct retail KPI
• Maintain retail store security budget responsibility (2.5 mil)
• Create, and track all direct retail bids/RFP’s and PO’s, and provide all vendor bill payment and support
• Perform monthly, quarterly, annual fixed asset and expense accruals
• Initiate all direct retail utility applications and account setups and make payment approvals, and track billing issues
• Activate, monitor and maintain ID badge system for all direct retail employees
• Perform all credit card purchases and monthly account reconciliations for direct retail operations
2. Metro PCS – NY, LLC, Hawthorne, NY
A ccounting A nalyst , Finance & Control Operations {May 2008 – A pril 2009}
Hired to plan, deploy and maintain systems for the control of sales and marketing, construction management, customer operations,
and network operations in order to maximize revenues, reduce costs, maintain financial controls and optimize shareholder valu e.
• Performed Bid, RFQ and RFP analyses and tracking for over 175 projects
• Rectified utility tracking and payment authorization on over 200 sites
• Resolved over 250 outstanding invoice investigations and authorized receiving on over 2500 line items in 6 months
• Handled direct responsibility for responses to internal and external audits involving all bidding and RFP processes and results
• Created process workflow documentation for all Finance Department processes and functional duties
• Reported fixed asset and expense accruals, set up payment on accounts, tracked and reconciled utility expenses for over 3400 cell sites
• Performed internal store audits, provided feedback and recommendations to increase procedural efficiency
AT&T International Corporation, Morristown, NJ (April 2007 - April 2008)
Finance Consultant, International Billing and Settlements
Assigned to compile and analyze information originating from multiple functional areas including network data, contract information,
billing history, and settlement work teams. Determined accurate carrier account positions to capture financial opportunitie s and
prevent potential negative financial impacts.
• Gathered and analyzed information collected across network, contract, billing and settlement functionalwork teams to determine accurate carrier
account positions in order to capture financialopportunities and prevent potentialfinancialimpacts.
• Exercised proper networkdata and revenue assurance tools to investigate, identify and correct root cause of problems, and to resolve disputes of
settlement positions with adverse carriers.
• Facilitated negotiations between 20 adverse carriers and Finance and Sales teams to set proper account reserves, and coordinated budget
adjustments to balance sheet and G/L due to impacts of opportunities and/or exposures.
T-Systems, N.A., Inc. (T-Deutsche Telekom), Red Bank, NJ (July 2001 – May 2006)
Manager, Sales Reporting Team {January 2003 – May 2006}
Contributed to the development and design of weekly sales reports for executive management team used to evaluate and improve
operating efficiencies and maximize sales revenues for voice, I/P, and broadband service offerings through the use of CRM tools,
relational databases, and legacy reporting systems. Supported sales and operations organization of more than 300 people world wide
through the creation of user guidelines, program documentations, training sessions and user administration of Salesforce.com CRM.
• Enhanced sales management organizationalcontrol through the development of weekly pipeline opportunity status reports and sales funnel analyses
across all voice, broadband and I/P services sold.
• Implemented sales trend analyses and forecast reports to capture information regarding revenue trends, gaps and opportunities.
• Assisted departmental management-level users in navigating business concerns to identify and measure KPI criteria, and resolved user issues.
• Co-managed the maintenance of timely target achievement and compensation calculation components of the base salary, bonus incent ive, and sales
recognition programs for 22 global sales organizations and over 100 carrier relations managers, using metrics consistent with corporate policy and
procedures.
Manager, Sales Applications Support {July 2001 – January 2003}
Spearheaded administrative activities associated with systems access to CRM sales reporting tools for more than 300 worldwide users.
Assisted International Carrier Sales & Services Management team in identifying key performance measurement criteria, resolvin g user
issues, and helping users navigate business concerns.
• Coordinated the rollout of the route pricing software application for 22 worldwide business units within a 6 month period while serving as project co-
leader.
• Improved overallworkflow and productivity efficiencies by enhancing order form automation for wholesale carrier-to-carrier price lists, creating user-
friendly documentation of technical specifications and systems requirements, and participating in training workshops for global users.
• Supported internal negotiation of service contracts and provided Tier I support during pre-startup phase of Customer Care Center by developing
reports to quantify and trackglobal networkoutages.
• Delivered InternationalCarrier Sales & Services specifications in response to RFI/RPP/RFQ requests.
Verizon Wireless, Inc., Bedminster, NJ (December 1999 - July 2001)
Manager, Roamer Database Administration
Oversaw all roaming switch and billing database updates and on-going maintenance. Published bi-weekly industry billing and technical
service update announcements distributed to partner carriers, industry clearinghouses, and network vendors. Supervised daily
activities of five database administrators.
• Slashed lost revenue $400Kannually by synchronizing rating information in switch and billing databases with 300 carrier contracts.
• Teamed with information technology support teamto develop preventative steps to eliminate misdirected or misidentified data t hrough the creation
of a generic front-end application.
• Performed staff evaluations, employee development, and quality assurance evaluations while maintaining performance compensation budgets.
TECHNICAL PROFICIENCIES
MS Office Excel, Word, Access, Outlook, Powerpoint, Oracle Financials, FileMaker Pro 10.2, Alfabet KPI Tool, Crystal Reports X, iXTools
(route pricing and service implementation tool), Infosys, DataFlash, SalesForce.com, ACT, SAGE, Business Objects, SAP , Ad Point
EDUCATION
Rutgers University, Newark, NJ Bachelor of Arts in Economics (minors in Business Administration and Finance)