Oracle Certified Database Administrator, seeking challenging assignments in IT Application Development &
Support / IT Infrastructure Management with a growth oriented organization of repute in Real Estate / IT
industry
Insight is a Risk Measurement and Management Tool. My role and responsibilities are –
• Working with development team to design workflows for feed governance and development using Informatica. It requires testing and verification.
• Working with business for requirement analysis/elicitations.
• Analyzing multiple interfaces and assisting in designing a common data interface to map different source files from Collateral, Trade, Position, Sensitivities systems to Sybase server.
• Working with Exposure Calculation Team to analyze any production issue for any Customer Account.
• Understand the existing and proposed framework. Review gaps, if any and suggest means to fill them.
• Working on Informatica 9.5.1 for the trade feed and checking the difference between UAT and Production.
• Checking the credit risk for the collateral trades and sensitivity for each trade and sending the reports to CRM Team.
• Act as a nodal point between the operations, technology and branch team to understand and transform business objective.
• Provide support to the development team during the User Acceptance Testing (UAT)
Oracle Certified Database Administrator, seeking challenging assignments in IT Application Development &
Support / IT Infrastructure Management with a growth oriented organization of repute in Real Estate / IT
industry
Insight is a Risk Measurement and Management Tool. My role and responsibilities are –
• Working with development team to design workflows for feed governance and development using Informatica. It requires testing and verification.
• Working with business for requirement analysis/elicitations.
• Analyzing multiple interfaces and assisting in designing a common data interface to map different source files from Collateral, Trade, Position, Sensitivities systems to Sybase server.
• Working with Exposure Calculation Team to analyze any production issue for any Customer Account.
• Understand the existing and proposed framework. Review gaps, if any and suggest means to fill them.
• Working on Informatica 9.5.1 for the trade feed and checking the difference between UAT and Production.
• Checking the credit risk for the collateral trades and sensitivity for each trade and sending the reports to CRM Team.
• Act as a nodal point between the operations, technology and branch team to understand and transform business objective.
• Provide support to the development team during the User Acceptance Testing (UAT)
Revolutionizing lending in today's digital worldExperian
Imagine a world where the lending journey is streamlined and aligned with today's innovative technologies. A world where income and asset verification happen real-time. No need to return to your customers and request even more paperwork to support their ability to pay. This presentation dives into how lenders can now bring financial data aggregation into the mainstream. With a simple interface, lenders can verify income and assets in minutes vs. days, leading to reduced processing times, improved revenue streams and higher customer satisfaction.
As per PTU B.Com Entrepreneurship Development Syllabus , Unit No. 2: Identification of Business Opportunities and tests of feasibility Project Management Feasibility and Viability analysis – Technical -Financial – Network – Appraisal and Evaluation – Project Report Preparation, Mobilizing resources for start-up. Basic start-up problems.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
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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.
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.
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.
3. Aspect of Credit report - Benefits
Improve
Onboarding
Efficiency
Additional
Information –
Identity
Verification
Score & Summary Section
• An objective way of knowing client credit worthiness
• Bird’s eye view of current Liabilities at a point in time
Personal Details section
• Additional details like Telephone, other addresses, Identifiers like PAN,
Adhaar, DL, Voter ID
• Skip tracing if required for collections
• Verify his given address with the one ( in addition to Regulator approved
sources )
4. Aspect of Credit report - Benefits
Correct Decision
Making
Account details
• Credit classification Differentiate between Secured & Unsecured loans
• Credit utility matrix- Know the financial discipline with financial behavior over time
• Assess the riskiness - derive the exposure Limits that business plans to undertake and
determine risk exposure
• Optimal Pricing decisions
• Cost of acquisition channels : Online/ Offline/ Retail
• Reseller capacity- industry specific- credit line offerings
• Differential ROI - Risk Appetite derived for High Risk v/s Low risk
• Simultaneous offerings – Tenure – Combo offers : HL + PL
5. Changes in the
Report and
Deepen Wallet
share
Better Customer
Experience
• Frictionless the customer on boarding
• Avoid disputes with prior consents
• Build client loyalties
Enquiry section
• Receive alerts on an ongoing basis with regular report subscription
• New Account Additions /closures can enable change in your client strategy
Aspect of Credit report - Benefits
6. Personal Pitch – Bringing on the Table
Bureau
Business
Dynamics
• Understanding of Bureau
Business/ report Analysis
• Quick Learning- Integration
back ward
• Understanding of practical
(focal) aspects impacting
report creation
Networking
• Ability to establish CXO
connects
• Account Management
Techniques
• Solution /Consultative
selling
• Influencing People
• Powerful Communication
Past
Experience
• Vast B2B hunting –
Farming experience
• Handy Industry exposure-
within BFSI, Consumer
Durables
• Well Versed at B2B2C/
B2B/B2C space
• Collaborative skills
7. • Know the Organization DNA
Culture-Rhythms
• Product overview departmentally
• Connect with Cross Functional
Peers/Internal Stakeholders
• Understanding their role-Alignment-
how we cross paths?
• Organizational structures,
technologies, and processes.
First 30 days
30
Grasp .
• Review the territory
• Know the Streams of business- Know
our Team
• Know Last Year Revenue
• This year’s WIP/Realised
• Client wise- Product /Penetration
• Revenue pipeline 30-180 days
• Introductory meetings at Larger Clients
- 80:20 principle
• Account wise mapping
30- 60 days
60
Execute ..
• Build Team Trust
• Enterprise Strategy
• Hits and Misses
• Active Participation-client calls
• Conclude conferences-Events-
seminar/webinar
• Build sales Funnels
60 - 90 days
90
Process …
Universe : Client-People-Industry-Product-Process
Thanks