Raghavendra Tejo Karthik POLURI
Toronto,Canada
Summary
Dynamic and results-oriented Data Scientist with over 9 years of combined experience in both industry and academia. Expertise in leveraging advanced statistical methods and machine learning to drive actionable insights from complex datasets. Adept at developing predictive models, conducting large-scale experiments, and optimizing customer experiences through data-driven strategies. Authored 6 research articles within a span of 2 years, demonstrating a commitment to advancing the field. Proficient in Python and R.
Overview
9
9
years of professional experience
Work History
Data Scientist I
Queen’s University
09.2020 - 12.2023
- Led high-impact data science projects: Analyzed and interpreted high-dimensional biological datasets using machine learning algorithms and statistical models, increasing biomarker discovery efficiency by 25%
- Extracted actionable insights: Processed noisy, high-volume, unstructured biological data to identify significant patterns, improving target identification accuracy by 30%
- Developed predictive models: Built and validated predictive models to analyze complex biological data, achieving an accuracy rate of 92%, precision of 90%, and recall of 88%
- Collaborated with cross-functional teams: Worked with data engineers and bench scientists to develop scalable solutions for real-time data analysis, improving data integration speed by 20%
- Created advanced visualizations: Utilized ggplot2 and Shiny to develop sophisticated data visualizations, enhancing stakeholder understanding by 35%
- Recruited and hired team members: Led the recruitment and hiring process for data science positions, successfully onboarding 5 new team members and increasing team productivity by 20%.
Data Scientist
Université Laval
05.2018 - 06.2020
- Analyzed high-dimensional sequencing data: Applied advanced statistical methods and machine learning algorithms to enhance molecular profiling, identifying 5 novel therapeutic targets
- Developed robust data analysis pipelines: Utilized Python and R to create and optimize data analysis pipelines, incorporating differential gene expression analysis and functional enrichment, leading to a 30% increase in processing efficiency
- Pioneered statistical techniques: Implemented innovative statistical techniques to interpret complex sequencing data, uncovering key pathways involved in disease progression, improving the understanding of cancer mechanisms by 40%
- Collaborated with clinical researchers: Validated computational findings with experimental data, bridging the gap between data science and practical medical applications, and contributing to 3 clinical trials
- Mentored junior analysts: Provided guidance on best practices in data analysis, statistical methods, and machine learning techniques, increasing the team’s overall efficiency by 20%
- Optimized computational workflows: Enhanced data processing efficiency by optimizing computational workflows, resulting in a 25% reduction in analysis time for large-scale genomic datasets and improving data throughput by 35%.
Bioinformatician/Data Scientist
Mapmygenome
09.2014 - 03.2018
- Designed and launched genetic testing products: Developed the first-of-its-kind genetic testing panel products in the Indian market, increasing market penetration by 15%
- Architected bioinformatics solutions: Implemented enterprise-level bioinformatics solutions with advanced machine learning algorithms, improving data processing efficiency by 30%
- Optimized bioinformatics pipelines: Conducted evaluations and optimizations, resulting in a 30% increase in data analysis throughput
- Developed scalable pipelines: Created and maintained bioinformatics pipelines using R and Python, enhancing variant analysis accuracy by 20%
- Performed comparative analysis: Evaluated various variant callers, integrating the most reliable tools and ensuring 25% higher accuracy in genomic data interpretation
- Customer-Centric Approach: Strong focus on understanding customer behavior to personalize experiences and improve engagement through data-driven insights
- Optimized cloud-based workflows: Enhanced cloud-based data storage and processing, reducing data retrieval time by 40%
- Provided technical expertise: Supported clinical trial teams with robust data analysis, ensuring compliance with regulatory standards and contributing to the successful completion of 4 trials
- Fostered strategic partnerships: Collaborated with pharmaceutical companies on innovative bioinformatics tools, contributing to a 15% increase in joint research projects
- Recruited and hired team members: Led recruitment and hiring processes, successfully onboarding 7 new bioinformatics professionals and increasing team capacity by 25%.
Education
Master’s -
Université Laval
Québec, Canada01.2020
Bachelor’s -
GITAM University
Vishakapatnam, India01.2013
Skills
- Python Programming
- Statistical Analysis
- R Programming
- Machine Learning
- Data Visualization
- Data Mining Techniques
- Statistical modeling
- Project Management
Accomplishments
French course award - June 2018
Bourses de recherche de la Fondation – Concours 2018
Robert J Wilson Fellowship – Queen’s University 2020
Robert Kisilevsky Award – Queen’s University 2020
Robert J Wilson Fellowship – Queen’s University 2021
Languages
English
Native or Bilingual
Italian
Limited Working
French
Elementary
Timeline
Data Scientist I
Queen’s University
09.2020 - 12.2023
Data Scientist
Université Laval
05.2018 - 06.2020
Bioinformatician/Data Scientist
Mapmygenome
09.2014 - 03.2018
Master’s -
Université Laval
Bachelor’s -
GITAM University
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