Jan 2023 – Dec 2023 · 11 mos · Bengaluru, Karnataka, India · Hybrid

• J.P Morgan & Co.
• ● Write APIs to connect different application for network build complete.
• ● Investigate the network build process for all required steps.
• ● Explore the API and methodology for connecting and writing the API.
• ● Using Flask and Flask REST API to fetch the network event data and processes it to use for updating the SAND data framework.
• ● Develop the data model for SAND data frame used in develop API.
• ● Develop the features for the API to upload data.
• ● Write Unit test for our API and methods used in the process. Done the end-to-end functional test of API.
• ● Code review for optimizing the code and understanding the process.
• ● Using Agile methodology to creating JIRA and complete the tasks for development of project.
• ● Documentation of work and process in confluence.
• ● Using version control Git and deploy API to development, feature branch and production branch.
• ● Troubleshoot and debug resolve.
• ● Used IntelliJ IDE for API development.
• ● Deploy Jupiter Notebook on Kubernetes and write the script for POC.

Mar 2022 – Jan 2023 · 10 mos · Bengaluru, Karnataka, India · Hybrid

• JPMC client location
• ● Write APIs to connect different application for network build complete.
• ● Investigate the network build process for all required steps.
• ● Explore the API and methodology for connecting and writing the API.
• ● Using Flask and Flask REST API to fetch the tenant subnet address and processes it to validate on data frameworks Verum, active directory and host master.
• ● Worked on LDAP query method to connect with Active Directory server and get the required information for tenant subnet using ldap3 python library.
• ● Write Unit test for our API and methods used in the process.
• ● Create Global Load Balance for external use of implemented validation API.
• ● Code review for optimizing the code and understanding the process.
• ● Implement method to access password from NGV and EPV vault for Jules’s credential to run microservice.
• ● Using Agile methodology to creating JIRA and complete the tasks for development of project.
• ● Documentation of work and process in confluence.
• ● Using version control Git and deploy API to development, feature branch and production branch.
• ● Troubleshoot and debug resolve.
• ● Write BDD functional test cases for API.
• ● Test the end-to-end functional test of API.
• ● Used IntelliJ IDE for API development.
• ● Deploy Jupiter Notebook on Kubernetes and write the script for POC.

Dec 2021 – Mar 2022 · 3 mos · Bengaluru, Karnataka, India · Hybrid

• ● Investigate and explore the API and methodology for connecting and writing the API.
• ● Using Flask and Flask REST API to fetch the data and processes it to use for updating the data base.
• ● Used NumPy and Pandas for data mining, filtering, and processing.
• ● Write Unit test for our API and methods used in the process.
• ● Connect to the cloud with PySpark to upload the parse data.
• ● Code review for optimizing the code and understanding the process.
• ● Documentation of work and process in confluence.
• ● Using version control Git and deploy API to development, feature branch and production branch.
• ● Troubleshoot and debug resolve.
• ● Test the end-to-end functional test of API.
• ● Used the vim editor to write the script.

Sep 2021 – Dec 2021 · 3 mos · Bangalore Urban, Karnataka, India · On-site

• ● Worked on to connect azure cloud to collect the SQL data of client and update the SQL query for the client to get the product details.
• ● Use PySpark to connect the database to get data and after processing update the table.
• ● Used Pandas for data cleaning and processing.
• ● Investigate and explore the API and methodology for connecting and writing the API.
• Using Flask and Flask REST API to fetch the data from database and processes to update the client table with required authentication details and SQL query.
• ● Write Unit test for our API and methods used in the process.
• ● Code review for optimizing the code and understanding the process.
• ● Documentation of work and process in confluence.
• ● Using version control Git and deploy API to development, feature branch and production branch.
• ● Troubleshoot and debug resolve.
• ● Test the end-to-end functional test of API.

Jan 2021 – Sep 2021 · 8 mos · Hybrid

• Mercedes Benz Benz Data Processing
• ● Worked on data pipeline to extract the image from the Dat file.
• ● Creating database to save the path and mat file of coordinates information of video.
• ● Using mining and scaling of video and dump in h5 file of frames of images.
• ● Using PySpark with for airflow of data pipeline with SQL query to create and dump the images data.
• ● Create scheduler using Apache airflow for running the data pipeline and confluence update.
• ● Confluence page update using automation script in Python.
• ● Using flask to write API for model training and report generation.
• ● Troubleshoot and debugging the code.

Sep 2018 – Dec 2020 · 2 yrs 3 mos · Hybrid

• Mercedes Benz Image processing (computer vision):
• ● Worked as a Data Scientist with algorithm team to rewrite the Lua code to Python.
• ● Using Pytorch for deep learning model implementation.
• ● Data loading using frames of image, normalized and transform the image data.
• ● Used pandas and NumPy and tensor for data framework, data list.
• ● Used Matplotlib, OpenCV, Seaborn and Bokeh for visualization plot.
• ● Used the Microservice Kubernetes and docker to deploy my project for training and testing on node.
• ● Troubleshoot and debugging the code.
• ● Code review for optimizing the code and understanding the process.
• ● Write the code to load the data from the structured data (image, mat file text file) using Pytorch and various python libraries for creating tensor to upload image data.
• ● Using augmentation and annotation for loaded data (scale, translation, rotation, crop, up sampling etc.) using PyTorch with other image libraries of python.
• ● Using Gaussian algorithm to generate heat map for the image of given coordinates for localization, v-pose and object detection.
• ● Trained the prepared data with loss function cross entropy and SDG using the CNN model.
• ● Calculate the accuracy of classification and generate the result using confusion matrix for distribution of image on the class bases.
• ● Create batches for the training and testing for the image data.
• ● Using CUDA for GPU training and testing the model.
• ● Model predictability for Localization, v-pose and object detection.
• ● Worked data pipeline for storing and extracting images using SQL.
• ● Write Unit Test and BDD test.
• ● Deploy Jupiter Notebook on Kubernetes and write the script for POC.
• ● Create the Video using OpenCV with the trained model to check the accuracy and validation for the model.

Nov 2016 – Sep 2018 · 1 yr 10 mos · Bangaluru · On-site

• ● Parsing the HTML file and Text document and clean the text and upload to MySQL data base using Python script.
• ● Write regular expression to parse the text, table and image from the text and HTML files.
• ● Used Python to generate the automated questions for various competitive exams.
• ● Used script to clean the text file as well as HTML file.
• ● Troubleshoot and debugging the code.
• ● Worked on tagging while parsing the doc for each question.
• ● Used NumPy and Pandas for reading the files.
• ● Worked on Data processing as merging, aggregating, and storing.
• ● Developed Python program to generate automate number series, data interpretation and reasoning question for the competitive mock exams.
• ● I have used various Python libraries like Matplotlib, Chart Director, Panda, NumPy for the development.
• ● I have used the script to clean and arrange the text from development.
• ● Write Unit test for develop program.

Jul 2014 – Oct 2016 · 2 yrs 3 mos · On-site

• Malware Classification:
• ● Investigate and explore the Malware files with their family and work approach to classification for malware.
• ● I have collected malware files from clam AV database using Sandbox and other websites, classified the malware into different malware families using the Bit shred method and Machine Learning algorithms.
• ● Used C, Python, NLTK and Scikit-learn, PE Python library tool for classification.
• ● C programming used for creating n-gram and hash fingerprint for classification.
• ● Used statistics analysis for the malware files.
• ● Exposure to Data Analysis and Data Mining techniques as Feature engineering, regression, classification, clustering, time series analysis etc.
• ● Troubleshoot and debugging.
• DNS Log Analysis:
• ● Crawled the DNS log using port mirror on the firewall from the IISc.
• ● Parse the log file collected in PCAP extension and store the parsed PCAP file in database using Python and Scapy library.
• ● Using parsed database and existing latitude and longitude database with the help of distributed IP find the location of query and response.
• ● Identify the anomalous behavior of the incoming queries and outgoing response or queries on the server using the stored parsed database.
• ● Developed a web application to locate the source and destination IP address using PHP and Python, and MYSQL database.
• ● Troubleshoot and debugging of the code and script.
• Vulnerability Analysis Application:
• ● Developed an application for the vulnerability analysis using the Python with the help of open-source scanner tools as Nmap, HPing, Wireshark.
• ● Collect fingerprint of system by scanning with developed application.
• ● Connect the application with National vulnerability Database (NVD) and map with the fingerprint and give the information of vulnerabilities information, updates, and patch also.

Dec 2012 – Jun 2014 · 1 yr 6 mos · On-site

• Web Scraping and Analysis:
• ● Collect the data from the web site using the Python and the library of python like requests, mechanize, Browser, urllib, urllib2, Beautiful Soup.
• ● Store the data in MySQL database and in csv file.
• ● Analysis the data collected from the website and predict the behavior of the data.
• ● I have used NumPy, Pandas for generating data frame and series for the automation Data Interpretation question.
• ● I have use matplotlib, chart-director for plotting line graph, pie chart, bar graphs etc.
• ● Data modeling, Data wrangling, Data visualization.
• ● Troubleshoot and debugging.
• Vulnerabilities Assessment and Penetration Testing:
• ● Conducted online Vulnerability Assessment and Penetration Testing (VA/PT) test for different organizations who wanted to assess their security threat levels as a part of CERT-In. This VA/PT test results are used to certify an organization for security by CERT-In.
• ● Conducted Drill test for various organizations like Government data centers, Private organizations to test their knowledge on detecting and preventing exploits.
• ● Worked on different open source and free fingerprinting, scanning and exploitation tools as Nessus, Nmap, Qualys, Burp suit etc. to conduct vulnerability assessment and penetration testing.
• ● Implementing new ideas to insert vulnerabilities in API and web services and network system.