Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Campus Leadership
Projects
Timeline
Generic

LOKESH BHIMINENI

Greensboro,USA

Summary

Flexible and experienced Software Developer currently seeking to leverage employment that will make the best use of my skills and allow me to develop them further, all the while contributing to the organizational goals. Always set on searching for the next problem to tackle. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills.

Overview

2
2
years of professional experience

Work History

Data Engineer

Dataquad
06.2023 - Current
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
  • Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
  • Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
  • Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
  • Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
  • Developed custom algorithms for advanced analytics, driving actionable insights from large datasets.
  • Collaborated with data scientists to develop machine learning models by providing the necessary data infrastructure and preprocessing tools.
  • Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
  • Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
  • Evaluated various tools, technologies, and best practices for potential adoption in the company''s data engineering processes.
  • Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.
  • Designed compliance frameworks for multi-site data warehousing efforts to verify conformity with state and federal data security guidelines.
  • Generated detailed studies on potential third-party data handling solutions, verifying compliance with internal needs and stakeholder requirements.
  • Managed cloud-based infrastructure to ensure optimal performance, security, and cost-efficiency of the company''s data platform.
  • Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
  • Implemented real-time data processing solutions for timely decision-making and improved customer experience.
  • Conducted extensive troubleshooting to identify root causes of issues and implement effective resolutions in a timely manner.
  • Designed and implemented effective database solutions and models to store and retrieve data.
  • Prepared documentation and analytic reports, delivering summarized results, analysis and conclusions to stakeholders.
  • Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls.
  • Used GDP on validation protocols, test cases and changed control documents.
  • Designed and developed analytical data structures.
  • Designed advanced analytics ranging from descriptive to predictive models to machine learning techniques.
  • Managed identification, protection and use of data assets.
  • Established and secured enterprise-wide data analytics structures.
  • Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
  • Documented and communicated database schemas using accepted notations.
  • Prepared written summaries to accompany results and maintain documentation.
  • Developed and delivered business information solutions.
  • Designed data models for complex analysis needs.
  • Gathered, defined and refined requirements, led project design and oversaw implementation.
  • Planned and installed upgrades of database management system software to enhance database performance.
  • Built databases and table structures for web applications.
  • Communicated new or updated data requirements to global team.
  • Developed, implemented and maintained data analytics protocols, standards, and documentation.

Data Science Intern

North America Volvo Group
05.2022 - 08.2022
  • Developed and coded software programs, algorithms and automated processes to cleanse and evaluate large datasets from multiple disparate sources.
  • Implemented data visualization techniques to effectively communicate insights to stakeholders.
  • Identified, analyzed and interpreted trends in complex data sets using supervised and unsupervised learning techniques.
  • Utilized programming languages such as Python or R extensively throughout the internship – applying relevant libraries and frameworks when appropriate.
  • Responsible for integrating code commits into release branches and maintaining code stability across all versions
  • Identified potential areas for automation in the existing workflow and developed solutions that reduced RND engineer manual work time by 60%
  • Involved in the design and implementation of modules for the Source Code Management System using Python, Perl, Shell Scripting, CGI, PL/SQL, and Perforce to meet specific requirements
  • Created and updated ongoing metrics, reports, analyses, and dashboards
  • This enabled ProdOps to make crucial business choices and cut their man-hours spent retrieving this information by 80%
  • Proposing and implementing changes, scaling the tools to new technical requirements requested by customers (R&D, QA, CAE), debugging, triaging, and supporting any difficulties encountered by customers are all responsibilities
  • Worked on Power-BI dashboard and created several Templates
  • Worked on company data and cleaned the data for analysis purpose.
  • Actively engaged in continuous learning opportunities – attending seminars, workshops, or webinars to acquire new skills and knowledge in the data science field.
  • Presented findings and recommendations to senior leadership, influencing strategic decision-making processes.
  • Used SAS, SPSS and Python to manage and analyze large data sets.
  • Applied appropriate data science techniques to solve business problems.
  • Participated in team brainstorming sessions to identify innovative solutions for complex problems facing the organization.

Education

Master of Science - Computer Science

University of North Carolina At Greensboro
Greensboro, NC
05.2023

Bachelor of Science - Computer Science & Engineering

Sathyabama University
Chennai , India
07.2021

Skills

  • Python
  • C
  • C
  • Java
  • Shell Scripting
  • Perl
  • Linux
  • Windows
  • Perforce
  • Jenkins
  • Oracle 10g
  • MySQL
  • PostgreSQL
  • MongoDB
  • Cassandra
  • Data Modeling

Accomplishments

  • Secured 1st place in University Annual Tech Fest event named Microosm, where I had to fix the bugs to make the code work
  • Scored 99.7 percentile in Computer Programming in AMCAT, an employability assessment test (National Percentile).
  • Got an offer for Engineering Assistant role at Vaidyut in January 2022.

Campus Leadership

  • Finance Head, 2018, Nirvana- Technical Festival of Mahatma Gandhi Institute of Technology
  • Finance Co-Head, 2019, Nirvana- Technical Festival of Mahatma Gandhi Institute of Technology
  • Marketing Head, Street Cause - A social club with an aim in helping the children, poor and needy
  • Class Representative, Aug 2017-June 2020
  • Campus Ambassador, Intern Shala, Mentor mind - JDA Registered Training Partner

Projects

Shorthand Writing system for pen-based Computers, Python, Flask, NumPy, Shark2, 11/2021, Using the Shark2 algorithm, created a program to find the best-fit word from gestures on a virtual keyboard. The algorithm was able to explore 10,000 sokgraphs in 40-50 milliseconds using the pruning approaches supplied. Spectrogram Analysis and Heart Disease Prediction, Python, JavaScript, D3.js, Flask, Google Analytics, TensorFlow, 11/2021, Developed a Convoluted Neural Network Model which helps in identifying heart sounds and thereby detecting what kind of heart disease. Initially the heartbeat sounds are converted into spectrograms and based on the spectrogram images the model is trained and will predict heart diseases based on the heartbeat. Image Super Resolution and Automatic Colorization, Matlab, 05/2019, Designed a Convoluted Neural Network using Encoders and Decoders to saturate resize restore and colorize a image using ImageNet dataset. I have used a Hybrid Convolutional Neural Network to colorize resize and restore images. Multi Script Text Identification, Python, 12/2019, Used Transfer Learning technique by retraining the Inception V3 model trained on ImageNet dataset to identify the language of the text in an image, the dataset from ICDAR2017 Competition was used. Explored and learned about different layers in Inception V3 deep convolutional architecture and their functionalities. There were seven languages in the training dataset, used TensorFlow for retraining and testing the model.

Timeline

Data Engineer

Dataquad
06.2023 - Current

Data Science Intern

North America Volvo Group
05.2022 - 08.2022

Master of Science - Computer Science

University of North Carolina At Greensboro

Bachelor of Science - Computer Science & Engineering

Sathyabama University

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