Nagaraju Jakkampudi
Bangalore
Summary
With extensive experience at KPMG India, I excel in machine learning and data visualization. I specialize in leveraging Python and TensorFlow to derive impactful insights that enhance decision-making. As a seasoned data scientist, I have a strong background in designing and implementing data-driven solutions to address various business challenges. My expertise includes predictive modeling, artificial intelligence, machine learning, and big data technologies.
I am adept at mentoring teams and fostering collaboration, consistently achieving high accuracy in predictive models. My strengths lie in analytical thinking, problem-solving, and the ability to translate complex data into actionable strategies. My previous work has led to significant improvements in decision-making processes, and overall business performance.
Overview
10
10
years of professional experience
Work History
Data Scientist
KPMG India Services LLP
Bangalore
06.2022 - Current
- Identified unknown leads data using good leads data and bad leads data from Instagram using machine learning.
- Performed data reformatting tasks and data sorting/filtering tasks for client data.
- Produced visualizations and created dashboards for leads data from Instagram using Data Studio.
- Clustered algorithms and linear regression algorithms to perform changeover analysis.
- Performed visual analytics using TensorFlow, RCNN, CNN, OpenCV, and YOLO to identify root causes for downtime of Instagram.
- Implemented PySpark scripts and developed machine learning applications using Spark SQL in Databricks for data extraction, transformation, and aggregation for business insights, data patterns, and exploratory data analysis.
Data Scientist
Wipro Technologies
Bangalore
07.2021 - 05.2022
- Predicted coronary heart disease using three ML models: Support Vector Machine, K-Nearest Neighbors, and Multi-Layer Perceptron, and achieved an accuracy of 80 percent.
- Performed data analytics to improve surgical workflow and performance for next-generation surgery platforms.
- Provided data insights using data analytics to improve surgical technology, with data and an appreciation for communicating insights through visualization.
- Developed healthcare monitoring visualization dashboards to support infrastructure.
- Constructed a pipeline to automatically annotate surgery videos.
- Fast R-CNN and the SVM algorithm are applied to classify and detect objects in healthcare patient scan images, achieving 95% classification accuracy.
- DBSCAN, a spatial clustering algorithm, is used to cluster changing pixels along video.
- Development and deployment of a web application in AWS that visualizes real-time data of surgery datasets and presents data analytics using various latest AWS services, machine learning algorithms.
- Experience in designing and implementing cloud automation and orchestration frameworks in private/public cloud environments involving AWS APIs, Jenkins CI/CD.
Data Scientist
Wipro Technologies
Bangalore
08.2020 - 06.2021
- Predicted revenue and KPIs, like trip duration, trip distance, customer churn, price prediction, fare prediction, distracted driver behavior, car MPG, car booking, and car demand, were performed using simple linear regression algorithms, random forest, gradient boosting regressor, TensorFlow with Keras, and Python code for the ride-hailing business.
- Performed data analysis for driver document verification, such as PAN CARD, SOCIAL SECURITY CARD, AADHAR CARD, DRIVER LICENSE, and DRIVER ID.
- Produced visualizations for the KPIs prediction project using Tableau.
ML Engineer
Combino Information Technologies
Hyderabad
09.2018 - 06.2019
- Designed AWS application architecture in coordination with the platform team.
- Constructed a pipeline to automatically annotate driver document videos.
- Applied fast R-CNN and SVM algorithms to classify and detect objects in driver images, achieving 95% accuracy.
- Used a DBSCAN spatial clustering algorithm to cluster changing pixels along the video.
- Developed a web application in AWS that visualises real-time data of vehicle and infrastructure assets.
- Designed and implemented a cloud automation and orchestration framework in private and public cloud environments.
- Designed, architected, and applied self-running artificial intelligence (AI) systems to automate predictive models and automated driver document verification systems.
Data Scientist
Lex Nimble Solutions
Hyderabad
04.2018 - 09.2018
- Mentored various data scientists on Python or R programming, advanced statistics, machine learning, and other data analytics, big data, and business intelligence tools.
- Good understanding of unsupervised and supervised machine learning algorithms, NLP, time-series techniques, Tableau, Power BI, Docker, and AWS.
Data Scientist
Cigniti Technologies
Hyderabad
02.2017 - 04.2018
- Predicted coronary heart disease using three ML models: Support Vector Machine, K-Nearest Neighbors, and Multi-Layer Perceptron, and achieved an accuracy of 80 percent.
- Performed data analytics to improve surgical workflow and performance for next-generation surgery platforms.
- Provided data insights using data analytics to improve surgical technology, with data and an appreciation for communicating insights through visualization.
- Developed healthcare monitoring visualization dashboards to support infrastructure.
- Constructed a pipeline to automatically annotate surgery videos.
- Fast R-CNN and the SVM algorithm are applied to classify and detect objects in healthcare patient scan images, achieving 95% classification accuracy.
- DBSCAN a spatial clustering algorithm is used to cluster changing pixels along video
- Development and deployment of a web application in AWS that visualizes real time data of surgery datasets and presents data-analytics using various latest AWS Services, machine learning algorithms
- Experience in designing and implementing Cloud Automation and orchestration framework in private/ public cloud environments involving AWS APIs, Jenkins CICD
Cloud Engineer
Cigniti Technologies
Hyderabad
09.2015 - 01.2017
- Designed, configured, and deployed Azure Automation Scripts for a multitude of applications utilizing the Azure stack (including Compute, Web & Mobile, Blobs, ADF, Resource Groups, HDInsight Clusters, Azure SQL, Cloud Services, and ARM), services, and utilities focusing on automation.
- Built an application environment to operate at high availability in different Azure regions by using CDN, Azure Traffic Manager, App Services-Web Apps, Active Directory, Storage Queues, Cognitive Services, Azure Search, Storage Blobs, Redis Cache, and SQL Database.
- Created Azure Role-based Access Control (RBAC) to segregate duties within our team and grant only the amount of access to users that they need to perform their jobs.
- Proficient in Terraform for infrastructure provisioning and management.
- Created cloud modules for interacting with Azure services, which provide the tools to easily create and orchestrate infrastructure on Azure, and automate cloud-native applications in Azure using Azure microservices, such as Azure Functions and Azure Kubernetes Services.
- Managed Terraform state files and implemented version control strategies to ensure consistency and reliability across environments.
- Created Network Security Groups (NSG) to filter the traffic to and from Azure resources by configuring the inbound and outbound rules, and associating them with subnets and network interfaces.
- Developed and managed Azure infrastructure hosting plans, deployed workloads on Azure Virtual Machines (VMs), and designed VM storage, demonstrating proficiency in implementing images and disks.
- Configured Azure's internal load balancer, load-balanced sets, and Azure Traffic Manager, demonstrating expertise in TCP/IP networking concepts, including DNS and DHCP.
- Involved in serverless services (Azure Functions), where I created and configured HTTP triggers in the Azure Functions with Application Insights for monitoring and performing load testing on the applications using the Azure DevOps Test Plans. I also configured shared dashboards with required metrics and logs.
- Created CI/CD pipelines for Python apps in Azure DevOps by integrating source code from GitHub, VSTS, and artifacts. Created deployment areas such as testing, pre-production, and production environments in the Kubernetes cluster.
Education
Bachelor of Arts - Computers
Acharya Nagarjuna University
Andhra Pradesh, India06-2013
Skills
- Machine learning
- Deep Learning
- Big Data
- Network Protocols
- Cloud Technologies
- Databases and Visualization
- Application Servers
- Web services
- Data analysis
- Statistical modeling
- PySpark
- Feature engineering
- Large dataset manipulation
- Python programming
- Data visualization
- TensorFlow
- SQL databases
- Data mining
Affiliations
- Continuous learning: Taking courses or attending workshops helps to enhance skills and adapt to changes in one’s field
- Career advancement: setting and pursuing career goals, while seeking opportunities for progression and skill development
- Networking: Building relationships with diverse professionals to exchange ideas, and gain new perspectives
Timeline
Data Scientist
KPMG India Services LLP
06.2022 - Current
Data Scientist
Wipro Technologies
07.2021 - 05.2022
Data Scientist
Wipro Technologies
08.2020 - 06.2021
ML Engineer
Combino Information Technologies
09.2018 - 06.2019
Data Scientist
Lex Nimble Solutions
04.2018 - 09.2018
Data Scientist
Cigniti Technologies
02.2017 - 04.2018
Cloud Engineer
Cigniti Technologies
09.2015 - 01.2017
Bachelor of Arts - Computers
Acharya Nagarjuna University
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