PRANAV KUMAR MAHESH
Kelowna,Canada
Summary
Dependable Data Scientist with track record of success, bringing a meticulous attention to detail and a proactive approach to problem solving. Passionate about leveraging Machine Learning tools to revolutionize the gaming industry. Known for conscientiousness, hard work and adeptness at multitasking in fast-paced environments. Eager to contribute expertise and drive innovation in game development through advanced data analytics and AI techniques.
Overview
3
3
years of professional experience
Work History
Data Engineering Specialist
Baker Hughes
Bangalore, India
03.2021 - 07.2023
- Optimized data loading from the Commercial Data Lake to business servers, accelerating SIP calculations by 60% through ETL process automation.
- Enhanced sales and booked orders reports scripts, boosting productivity while ensuring heightened data accuracy.
- Collaborated closely with Platform teams to facilitate the seamless migration and refinement of scripts and reports within the Day Sales Orders application, resulting in notable performance gains and improved data quality.
- Spearheaded initiatives to improve data quality and meet SLAs as part of the Data Engineering Ideas and Best Practices project.
- Assumed ownership of the Finance and Commercial Data Lake, while overseeing the DevOps team and maintaining data integrity and job functionality.
Intern / Trainee
GE Healthcare
Bangalore, India
01.2020 - 01.2021
- Built a user-centric Training Portal Application on the Salesforce platform, employing full-stack development techniques to streamline the training program application process.
- Improved user productivity by enabling smooth transitions from different pages to the Simplified Flow cart page
- Developed a Promotion Product Search Page making it easier for clients to select products for the purpose of Promotions.
Education
Master of Data Science -
University of British Columbia - Okanagan
Kelowna, BC07-2024
B.E. in Electronics and Communications Engineering -
BMS College of Engineering
05.2020
Skills
- Machine Learning
- Database Development
- Python Programming
- Model Development
- C
- R
- SQL
- Tableau
- Talend
- Deep Learning
- Data Analytics
- Project Management
- Interpersonal Skills
- Object-Oriented Programming
- Effective Communication
- Salesforce
- GitHub
- Process Automation
- Data Management
- Decision-Making
Projects
Soccer REST API Wrapper in R | 2024
- Engineered an R package called dashkickAnalytics tailored to interface seamlessly with API-Football, facilitating effortless retrieval of soccer-related data crucial for our gaming platform.
- Crafted engaging visualizations, such as stacked bar plots showcasing top goal scorers, spider plots for team comparisons, and line plots depicting historical performance, all meticulously focusing on insights from the 2023 Premier League season.
- Employed advanced Machine Learning algorithms and historical data to forecast match outcomes and generate the projected league standings.
Social Media Tourism Prediction | 2023
- Executed a Social Media Tourism project, leveraging customer digital and social media behavior for targeted digital ad placements.
- Employed Python to develop a suite of advanced Machine Learning models (Random Forest Classifier, Decision Tree Classifier, Gradient Boost) via sci-kit-learn.
- Tailored specialized models to cater to the nuanced purchasing patterns of laptop and mobile users, ensuring accuracy in product recommendation predictions.
Project Tracker App | 2023
- Developed a Python-based Project Tracker App with robust capabilities to streamline project management and visualize key metrics.
- Leveraged libraries including pandas, numpy, and plotly to handle projects, tasks, and generate insightful visualizations.
- Implemented interactive charts to offer clear insights into project timelines, task statuses, workload distribution, and the correlation between project duration and priority.
- Utilized JSON files to efficiently store all user-generated object-related data, ensuring seamless access and retrieval of project information.
Smart Ambulance System | 2020
- Developed a system to streamline emergency response, prioritizing timely arrival of ambulances and patients at hospitals.
- Simulated programming traffic signals to dynamically switch to green upon ambulance approach, mitigating delays caused by traffic congestion.
- Enhanced efficiency further by developing an intuitive application enabling users to locate hospitals with available resources and seamlessly request and track ambulance services.
Additional Courses
Foundations of Sports Analytics | 2023
Front-End JavaScript Frameworks | 2020
Neural Networks and Deep Learning | 2019
Machine Learning | 2019
Accomplishments
Employee Spotlight Award | Baker Hughes | 08/2022
Outstanding Contribution to CommEx Training Portal | GE Healthcare | 11/2020
Timeline
Data Engineering Specialist
Baker Hughes
03.2021 - 07.2023
Intern / Trainee
GE Healthcare
01.2020 - 01.2021
Master of Data Science -
University of British Columbia - Okanagan
B.E. in Electronics and Communications Engineering -
BMS College of Engineering
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