Nikhil K.

Nikhil K.

Python Developer

Bengaluru , India

Experience: 6 Years

Nikhil

Bengaluru , India

Python Developer

12000 USD / Year

  • Immediate: Available

6 Years

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About Me

My Name is Nikhil, I am having total 6 years of experience in software development, testing and data & business analysis. I have worked on multiple domains such as Banking, Insurance, Risk management, Compliance, Fraud. My areas of expertise incl...

Some of the projects to which I was part off includes:-

Developing customised Cash Management system for the corporate banking clients which included SWIFT transaction report as well for re-conciliation purose by the customer.

Automation of KYC operation for a French Multinational Banking client for which I acted as BA and UiPath consultant.

Data Analysis of the business banking transaction data to find the anomolies in the transaction pattern for large corporate clients of a UK based bank which included complete data analysis and visualization using Python and its libraries.

Presently working on a R&D project on "Blockchain" with the development team for a banking solution.

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Portfolio Projects

Description

Developed customised cash management solutions for the corporate banking clients for various colletionn and payment solution. We developed a platform in the Bank's internet banking where customer can perform bulk file upload for payments such as NEFT, RTGS, CHAPS, NACH, IMPS. Based on the status of the transaction, customer used to get various SWIFT report such as MT 900, MT 910, MT 941, MT 942.

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Description

My prime role was to conduct feasibility study to understand the extent of automation possible for KYC operation job. I worked as a senior resource for business analysis and feasibility study andprepared Business requirement document, Functional requirement document.

I developed complete process flow comprising various task and actions in the process. Then along with the team developed BOTS as UiPath developer and automated several components. The BOTS which I developed comprised fetching information of the entity from'World Check' and Lexin Nexis.Also performed testing to check whether the application works as per thr BRD & FRD defined.

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Description

We used to fetch large chunkss of raw data from core banking solutions of the bank. Then on those data we analysed the data to understand the anomalies in the banking domain to determine any kind of iregularity in the transaction so that traces ofMoney Laundering can be identified. We used to analyse data Python progrmming language and its libraries such as NumPy, Pandas, NLP.These analysis was in the form of various charts and graps such as cluster analysis for pattern recognisation.

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