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Machine Learning Big Data

Location:
Irving, TX
Posted:
May 14, 2025

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Resume:

JITHIN RAMPILLA

980-***-****/**************@*****.***

PROFESSIONAL SUMMARY:

•Python Developer with over 9.10 years of progressive experience including Big Data development and Data Analytics (Python Machine Learning)

•Worked on Data migration, Data cleansing, Data validation and other projects involving PySpark, Scala, Hive and Sqoop, Pandas, NumPy.

•Experience in developing projects using SPARK with PYTHON

•In-depth understanding of Spark architecture including Spark Core, Spark SQL.

•Developed Spark programs using Python API’s

•Strong experience in Big Data technologies like Sparksql, PySpark, Hive.

•Experience in data pre-processing, data analysis, machine learning to get insights into structured and unstructured data.

•Experience as a Python Automation Developer with the Cable Industry Developing scripts in Python, Testing voice, video, and data cable services.

•Developing scripts in Python & Selenium for Automation Testing on Tablets, RVP Boards like Skylake, Kabylake, SOC platform

•Experience on PySpark with AWS S3 & EMR

•Excellent Interpersonal and communication skills, efficient time management and organization skills, ability to handle multiple tasks and work well in a team environment.

TECHNICAL SKILLS:

Hadoop Ecosystem

Hadoop, Big Data, HDFS, PySpark, HIVE

Data Analytics

Pandas, NumPy

Machine Learning

Sklearn, seaborn, matplotlib

Languages

Python

Database

MySQL, Oracle,SQLITE,Dynamo DB

Amazon Services

S3,EMR,DynamoDB,CloudWatch,EC2

Lambda,Step,SNS,SQS,VPC,Cloudformation,Redshift,EventBridge,Glue

Palantir Foundry

Contour,Data Lineage,Code Workbook,Ontology,Slate,Object Manager, Function-based Actions, Fusion

Restful API's

Requests,Pycurl,Flask,Postman

Scripting

AutoIT, HTML, CSS, JSON, Shell

Hardware

SOC, KabyLake, Skylake, STB -Setup Box

Operating system

Windows, Linux

Devops Tools

Jenkins,GIT,Bit bucket,Selenium,Splunk,Jira

IDE

Pycharm,IDLE,Eclipse,Jupyter

EDUCATION:

5 years Integrated Bachelor & Master of Technology (Computer Science) 2013 Andhra University

PROFESSIONAL EXPERIENCE:

June 2023 – Dec 2024 Python Developer /Bank of America, Dallas, TX

Receive communication streams from different platforms, skype, microsoft, etc and need to develop the common thread in Python. Responsible for engineering and development in support of the Bank Enterprise Regulatory E-Communications.

•Develop Python code that will translate from files of varying types (e.g., XML, JSON, CSV,EML etc.) into a specific XML format using Aspose,pandas,Pyodbc modules .

•Extracting /Filtering the required data from database using Pandas

•Developed Python programs to parse XML documents and load data to the database.

•Designed and Implemented data pipeline to process semi-structured data by integrating raw data from 100+ data feeds sources using Python.

•Implemented object-oriented design principles to enhance code readability and maintainability.

•Integrated python with web development tools and web services.

•Designed and developed Web services,RESTful API's using requests,pycurl,flask and postman

•Performed unit testing using pytest and code reviews .

•Capture and log any exceptions and abnormalities with automated responses.Document and validate requirements

Environment:Python,MYSQL,GIT,JIRA,Pandas,NumPy,Bitbucket,Postman,Pycurl,Requests, docx, BeautifulSoup,Aspose,Smarsh,Pyodbc.

Dec 2022 – May 2023 Python Developer,IntelCorporation, Dallas, TX

•Automation development using Python and contributing to data analysis using machine learning models. Development of tools and libraries in Python.

•Development of spark jobs using Python and Automated all the possible test cases and automation script development.

•Fluency in Python with working knowledge of ML & Statistical libraries

•Extensively used Pandas,Numpy,Seaborn,Matplotlib for developing various machine learning algorithms.

•Experience in Python Development and Scientific Programming and using NumPy and Pandas in Python for Data Manipulation..

•Triage and debug the failures and root cause analysis.

•Predict the values using different machine learning models.

Environment: Python, HSD, GIT, JIRA, Jenkins, Python 3.6.4, Pandas, NumPy, Sklearn, seaborn, matplotlib.

May 2020 – Jan 2022 Python Developer,Airbus, Bangalore, India

AIRBUS: Skywise is a major Airbus initiative to provide better services to airlines by collecting and analysing data from in-service aircrafts. FHS is a service offered by Airbus to ease maintenance activities (component supply, repair, full airframe maintenance).

•Predicting the workload using machine learning techniques and developed different models for better accuracy of the predicted value.

•Led a cross-functional team of data professionals in developing a machine learning platform that leveraged quantum computing algorithms,resulting in a improvement in model accuracy

•Built ontology-backed time series analysis and monitoring product for using Pyspark and Python, enabling clients to visually analyze the dashboards

•Handled all the client-side validation using JavaScript.Developed UI using tkinter module for KDB tool application.

•Created a Python based GUI application for Freight Tracking and processing.

•Worked on Code repository,code workbook,contour,data lineage for connecting different databases.

•Checked health checks,data quality,data health using data lineage .

•Used Quiver for analyzing data using a wide range of no-code transformations.

•Created widgets,dropdowns in dashboards using slate .

•Used workshop for interactive and high-quality applications and for creating layouts

•Developed multiple dashboards for quicker data processing using Palantir’s Skywise Platform: Data Ingestion, Data Preparation, Data Visualization etc.

•Extensive skills within ETL design,maintaining data pipeline and development using Python, PySpark on Foundry (Palantir).

•Used monocle for data lineage for creating datasets, connecting datasets.

Environment :Palantir Foundry, Code Work book,Ontology,Object Manager, Function- based Actions, Object Views, Fusion.

Nissan

•Developing scripts for Nissan Project in Alexa Developer console using Python.Extracting /Filtering the required data using Pyspark, Pandas.

•Worked on Amazon Alexa developer console and create skills for scenarios.

•Worked with Dynamo DB.Created EC2 instances and other AWS servies.

•Created Lambda for email fire, update data into database.

•Added support for Amazon AWS EMR,S3,Redshift,Glue.Lamda and created VPC for migration project.Created clusters,VPC,EC2 instances.

•Created Dags and worked with amazon managed workflows for apache Airflow.

•Connected Python and Pyspark with AWS using boto and awscli modules.

•Worked with Cloud watch,AWS batch,Step,SNS,SQS to monitor and send notifications for airflow tasks.

Environment:AWS Services, Python 3.6.4, Pandas, NumPy, Sklearn, seaborn, matplotlib, Palantir Foundry, MySQL,Flask,Postman

Dec 2018 – May 2020 Python Developer,CITI, Chennai, India

EAP Analytics: Objective of this project is to provide an execution platform with use interfaces as needed for EAP execution module management and execution based on modules written in python programming language. Scope of this project includes a platform to execute python-based modules and store the module outputs in Optima Retail EAP.

•Developing Spark Jobs using Python. Upload and process data from various structured and unstructured data.Managed large datasets using Panda data frames and MySQL

•Engineered a distributed ETL framework using PySpark and Airflow, processing large amount of data from diverse sources, which improved data processing efficiency

•Developing Airflow Dags for execution of Framework

•Conducted data exploratory analysis, data cleaning and ensure data quality, consistency, integrity using Pandas, NumPy.

•Conducted data exploratory analysis using Spark-SQL with various data sources like JSON, Parquet, CSV, Oracle and Hive.

Environment: Python 2.7.8, Airflow, shell,HDFS,PySpark, Hive,Pandas, NumPy,Linux,Bitbucket

May 2017 -Dec 2018 Python Developer,COMCAST, Chennai, India

Python Development: Developing scripts in Python for Automation Testing tools. Responsible for designing, developing, implementing, and executing tests for Customer Premises Equipment (CPE) video products. Assisting in the identification and providing resolution of problems and defects, identification and reproducing bugs or defects.

•Developing scripts in python and selenium for Comcast Tools.

•Used Pandas, NumPy API for triaging in loading of raw data, export to various formats.

•Development of libraries and tools for Data transformation and aggregation.

•Experience in python, Jupyter, Scientific computing stack (numpy, scipy, pandasand matplotlib).

•Perform troubleshooting, fixed and deployed many Python bug fixes of the two main applications that were a main source of data for both customers and internal customer service team.

•Write Python scripts to parse JSON documents and load the data in database.

• Generating various capacity planning reports (graphical) using Python packages like Numpy, matplotlib.

Environment: Python, Pandas, NumPy,Jenkins,Github,Test Manager, Splunk,Pycharm

Dec 2014 – Apr 2017 Python Developer,Intel Corporation, Bangalore, India

Developing scripts in Python & Selenium for Automation Testing on Tablets, RVP Boards like Sky lake, Kabylake, SOC platform.

•Developing scripts in python for NPK tool.

•R & D for achieving automation expectation on, particular platform.

•Providing solutions for the issues that are faced during execution.

•Developing scripts, libraries in python.

•Developing scripts in python and selenium, beautiful soup, web scrapping for Intel tools.

Environment: Sky Lake, Kabylake, Touch Robo, Touchless Tool Kit, Brain Box, NPK Tool, Python 2.7.7, AutoIT, Batch,Windows 10,Pycharm

Oct 2013 - Apr 2014 Techical Associate, Dell Technologies

Responsible for diagnosing, troubleshooting and repairing computer systems, software systems or applications and providing phone-based technical support for Dell Client products. Assists customers in determining problems, and provides resolutions on technical and service problems. Here we need to analyze and solve software and hardware problems by investigating potential solutions using troubleshooting skills.



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