They say that curiosity kills the cat, but I would quote that “The cat died nobly trying to figure out”.
An inquisitive graduate with a Master's degree in Computer Science specializing in Data Science from Northern Illinois University.
DATA, SOFTWARE ENGINEER with 4+ years of experience in developing Database end of financial institutions. A Machine Learning enthusiast proficient in Python, Java and SQL seeking a full-time opportunity to expand knowledge in the field of Data Science.
TECHNICAL SKILLS:
• Languages: Python, Java, SQL, PL/SQL
• Databases: Oracle 11g, SQL Server, MySQL, DB2, PostgreSQL
• Machine Learning: Classification, Clustering, Regression, Feature Engineering, Deep Learning (Neural Networks in Computer Vision)
• Additional skills: Data Warehouse & Data Mining, Data Analytics, ETL, ICR, Data Structure, REST, SOAP, Agile Scrum framework
• Tools/IDE: Google Colab, Anaconda, Jupyter Notebook, Git, Brainware, Lead tool, Jira, Visual Studio Team Services, IBM Rational Software Architecture, IBM Data Studio, Microsoft Visual Studio, Eclipse
• Experienced with NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn, Keras, TensorFlow
• Previously used SSIS, Java, J2EE, .Net, Shell scripting, C, C++, HTML5, CSS3, JavaScript, jQuery
As a data idealist looking forward to turning the information to insights and to work pragmatically in an organization where I can enhance my skills to meet the company's goal and objective with full integrity and zest.
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Experience
Risk Intern- Credit One Bank, Las Vegas, NV Jan 2020– May 2020
• Data validation and governance across Data Source, Staging, Lake processing, Data Lake to Spine decision platform using SSIS and Stored procedures
using T-SQL. Researching on Anomaly detection of fraudulent data for healthier data and more accurate target audience of the campaign by
understanding the anomalies.
Graduate Teaching Assistant- Northern Illinois University, Dekalb, IL Aug 2019- Dec 2019
• Graduate Teaching Assistant for Database Concepts for undergraduates in the Computer Science department.
IT Support Analyst- Northern Illinois University, Dekalb, IL Jan 2019– Jul 2019
• A successful development of the inventory management system and its maintenance using ASP.NET and SQL Server.
Application Development Analyst - Accenture Solutions Private Ltd, India May 2015- May 2017
Project Name: Confidential, Client: Leading Australian Bank, Company hosting music content creators
• Developed the web UI and API services using ASP .NET. Responsible for unit and functional testing for a company hosting music content creators.
• Responsible for developing automation scripts using PL/SQL which automates the generation of reports for banking information in real-time without
any hassle for a nationalized bank from Australia.
• Accomplished automation of the generation of SSIS packages and handling BI requests on the Tactical Development Platform (TDP) environment,
resolving problem records, and decommissioning of reports.
Software Engineer - Brillio Technologies Private Ltd, India Jun 2014- Apr 2015
Project Name: Confidential, Client: Leading US Bank
• Developed UI for Android Application to digitize images of documents using a web API and wrenching data through Lead tool, for a US Financial
institution.
• Integrated the mobile app with ICR tool for the data to flow seamlessly and convert the images to an editable format.
• Developed remitting application code using C#, responsible for Data Cleansing and performing testing using the NUnit testing framework for the
developed application.
• Developed application scripts for Optical Character Recognition using Visual Basic, for image analyses and extraction of data through Brainware, an
OCR Tool in a structured manner.
• Responsible for analyses of Service Level Agreement (SLA), defect fixing and training the application to enable the easy digitization of paper files.
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Projects
• Detection of blindness severity in Diabetic Retinopathy Dec 2019
Built deep learning models to classify the images on the severity of Diabetic Retinopathy of patient’s eye.
• Predicting the Appearance of Cited Article on Social Media Site Dec 2019
Predicted the appearance of scholarly articles on social media using supervised machine learning classification algorithms on altmetrics dataset.
• Employee Payroll /Timesheet System using Spring Boot Nov 2018
Implemented web application using MVC with JSTL views along with bootstrap and MySQL Data Source.
• GUI using JFrame To Demonstrate Different Soring Algorithms Nov 2018
GUI Application to demonstrate the graphical representation of sorting algorithms.
• Application to Parse US Census Data to Database Dec 2018
C++ application to parse US Census data to PostgreSQL database from Bound and RTC file.