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

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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.

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