Srinivasan Chandrasekaran Email and Phone Number
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Srinivasan Chandrasekaran personal email
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I am a seasoned Analytics Leader with more than 17 years of experience in everything related to data. I have successfully lead many projects and developed products worth millions of dollars spanning the following areas- Data modeling, Data warehousing, Data management, Data quality, Analytical algorithms, Supervised and Unsupervised learning techniques, Machine learning, Neural networks, Simulation,Forecasting and much more.I own and lead Advana - a no-code data engineering and data science product. I oversee a team of developers and manage the product lifecycle encompassing - product ideation, product strategy formulation, stipulation of the scope and requirements, product research, technical design, development, integration and testing, deployment, documentation, product maintenance, roadmap prioritization and product training. More info about Advana is at https://advana.kaviglobal.com/I have proven expertise in AWS and Azure Cloud Services. I have lead large teams in delivering solutions using Azure Cognitive Services, Azure Databricks, Azure Machine Learning, Cosmos DB, Virtual Machines, Azure Data Factory, AWS Sagemaker, AWS Glue and Databrew, AWS Comprehend among others.I am proficient in Python, Spark (Scala), SAS and R. Reach out to me for consulting engagements or just to chat.
Kavi Global
View- Website:
- kaviglobal.com
- Employees:
- 35
-
Director - Software And ProductsKavi Global Feb 2012 - PresentGreater Chicago AreaA seasoned Product Manager responsible for Advana - a no-code technology agnostic data engineering and data science product. My responsibilities include - Define Product Vision and lead product development, strategy, and design from concept through customer deployment and from ideation to market launch. - Drive the execution of all product lifecycle processes for products, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch -Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams-Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization -
Operational Risk ManagerStandard Chartered Bank Jun 2010 - Jan 2012Key Responsibilities and Deliverables: - Statistical analysis and data modelling around Operational losses. Establishing a roadmap for OR analytics to progressively develop and embed the measurement capabilities from a point of view of enhancing risk management practices and MIS. - Designing data quality metrics for Operational risk internal loss data, highlighting data anomalies for further investigation and prescribing control limits for losses. - Benchmarking of SCB Operational loss data and Operational Risk Capital with external peers, highlighting marked discrepancies and suggesting ways and means of improvement. - Calculating bank wide Operational Risk capital requirements per BASEL II requirements and conducting stress testing of capital requirements for ICAAP and Capital Deep dive requirements from regulators.Notable credits: - Consistently delivered Operational loss analytics to top management for decision making and improving internal controls for Operational losses which were much appreciated. - Conducted regulatory ICAAP exercises for the bank as a whole and by individual geographies for stress testing Operational loss and capital, presented to regulators and received their approval. - Carried out prudential capital requirement exercise from regulator in Operational risk domain for the first time in the bank satisfying all the regulator’s requirements. -
Data Analytics ConsultantGenpact Jan 2008 - May 2010Key Responsibilities and Deliverables:Analytics and research in the areas of finance, operations, asset management using statistical packages. - Credit risk analytics – High impact analytics on group credit risk data pertaining to customer credit risk benchmarking, delinquency watch, credit exposure risk review, industry credit analysis, probability of default, Loss given default and Exposure at Default. - Reserve calculation of unpaid expenses – Project prescribing the reserves to be allotted for unpaid repair expenses. Using a complex logic to validate the exact repair expenses due for a month and calculation of reserves based on the expenses unpaid. Enterprise SAS applications including SAS OLAP Cube Studio used. - Asset liability matching – Debt allocation decision. Funding the debt incurred to purchase now –retired assets to new assets while keeping the debt-equity mix at optimum levels and decrease the cost of debt to the company. Used Enterprise SAS applications such as Enterprise Guide, SAS Management Console, SAS Information Map Studio and SAS Web Report Studio. - Unbilled repair detection model – Identification of the leakage in charging the expenses to customers which are already paid to the vendors. The model matches the repair estimates which have been accepted to be paid by customers and the actual repair expenses billed to them thereby identification of billing revenue leakages. SAS Macros, SAS Stored Processes and Web Report Studio used.Notable credits: - Received Management award from customer for outstanding project creating business impact of more than USD 500K. - Received Gold award and silver award from company for outstanding performance. -
Solutions ManagerIcici Bank Jun 2007 - Jan 2008Key Responsibilities and Deliverables :- Appraisal of asset based exposure in SME clients in the form of working capital, long term loans and currency swaps, forwards and option derivatives by analysis of financial statements. - Financial statement analysis and research on economy, industry and company for providing credit to companies– both long term and short term as well as derivative exposures. - Prescribe prudential limits for financial / profitability ratios, credit exposure, asset concentration, maturity profile as per standards specified and macro economic situations. - Understand the qualitative and quantitative factors of the prospect SME client and set credit exposure limits for various asset products.Received "Superstar achievement award" for outstanding performance -
Commercial ExecutiveIndian Railways 1998 - 2005Preparing the balance sheets and monthly returns, consolidation of daily revenue and customer interface.Received certificates from divisional heads for meritorious performance three times.
Srinivasan Chandrasekaran Skills
Srinivasan Chandrasekaran Education Details
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Masters In Analytics -
Finance, Capital Markets -
Commerce, Accountancy -
Banking, Accountancy -
Sboa School & Junior College -
Sankara Vidyalaya
Frequently Asked Questions about Srinivasan Chandrasekaran
What company does Srinivasan Chandrasekaran work for?
Srinivasan Chandrasekaran works for Kavi Global
What is Srinivasan Chandrasekaran's role at the current company?
Srinivasan Chandrasekaran's current role is Data Analytics Leader and Product Director | Built Patented Software Products | Data Engineering | Machine Learning | Deep Learning.
What is Srinivasan Chandrasekaran's email address?
Srinivasan Chandrasekaran's email address is sr****@****o.co.in
What is Srinivasan Chandrasekaran's direct phone number?
Srinivasan Chandrasekaran's direct phone number is +184738*****
What schools did Srinivasan Chandrasekaran attend?
Srinivasan Chandrasekaran attended Georgia Institute Of Technology, Institute For Financial Management And Research, University Of Madras, University Of Madras, Sboa School & Junior College, Sankara Vidyalaya.
What skills is Srinivasan Chandrasekaran known for?
Srinivasan Chandrasekaran has skills like Analytics, Business Analysis, Financial Modeling, Credit, Derivatives, Analysis, Risk Management, Banking, Finance, Mis, Sas, Financial Analysis.
Who are Srinivasan Chandrasekaran's colleagues?
Srinivasan Chandrasekaran's colleagues are Kowsalya Pandiyan, Chrysolyte Precious Rani, Rajalakshmi M, Rashmi G, Shanthakumar Gopinath, Pavithra Elango, Venkatarao Ala.
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