Akshat Karambe
Advancing in Data Analytics, I excel as a Sr. Data Analyst at CommonSpirit Health, optimizing REDCap for seamless operations. Formerly at Centura Health, I led Power BI dashboard development and honed technical leadership.
Prior roles included impactful contributions to machine learning and automation at Sanofi Genzyme and Biogen. Rooted in a Bioinformatics internship, my journey underscores a steadfast commitment to elevating data analytics proficiency and efficiency
Professional Skills
PowerBI
Tableau
Excel
Python
RStudio
Google Looker
SQL
RPA
Leadership
Planning
Work Experience
Sr. Data Analyst
CommonSpirit Health: 2022 - Present
Proficiently administered and optimized REDCap for seamless data collection, storage, and retrieval.
Configured and customized projects to meet research requirements with advanced features.
Ensured data security and compliance.
Provided user training, support, and quality control.
Applied statistical significance testing and utilized advanced analysis techniques for meaningful insights.
Visiting Faculty: BioInformatics
Vidyalankar Institute of Technology: Aug 2023 - Dec 2023
Taught an advanced Bioinformatics course to final-year Biomedical Engineering students at Vidyalankar Institute of Technology.
The curriculum covered comprehensive Bioinformatics theory, algorithmic principles, and coding proficiency in R and Python.
Students engaged in real-life applications, gaining a profound understanding of concepts and recent advancements.
The course included instructing on single-cell technology projects and empowering students to interpret, comprehend, and synthesize information from research papers.
This aimed at cultivating a nuanced comprehension of Bioinformatics within the academic cohort.
Data Analyst
Centura Health: 2020 - 2022
Developed dynamic visual and reporting dashboards in Power BI, leveraging automation tools like Power Automate, RPA, and Python.
Applied data analytics and forecasting techniques for innovative solutions.
Collaborated on technical requirements, test plans, and predictive modeling.
Demonstrated technical leadership, optimized practices, and proficiently manipulated data.
Contract: Research Associate I
Sanofi Genzyme: 2019 - 2020
Conducted exploratory data analysis & utilized machine learning on Single Cell PBMC, Brain, & Multimodal Reap-Seq data.
Applied R algorithms for genomic data quality analysis.
Developed automation for reproducible R Markdown pipelines.
Wrote bash scripts for data migration to AWS S3. Created and maintained essential documents for design history files.
Contract: Bioinformatic Developer III
Biogen: 2019 - 2019
Created a Python app to automate image processing, reducing manual work by 99% and eliminating the need for MATLAB and ImageJ.
Improved time efficiency by over 80%. Used R and Python for study-specific requirements and analysis, including interactive Shiny dashboards.
Internship: BioInformatics
Sanofi Genzyme: 2018 - 2018
Extracted, manipulated, and integrated data for actionable insights.
Automated cell type annotation, improving efficiency by 80%.
Visualized gene expression distribution.
Conducted genomic data mining, cleaning, and analysis.
Facilitated collaboration between research, computational biology, and scientific computing.