riddhi tatke
@riddhitatke
Data analyst with 3+ years experience delivering actionable insights from complex life‑sciences data.
What I'm looking for
I am a data analyst with over three years of applied experience in large-scale data handling, annotation, and pipeline development within the life sciences sector. I combine strong skills in SQL, Python, R and Excel with hands-on experience in Tableau, Power BI and BigQuery to produce clear, actionable insights that support decision-making and improve operational reliability.
I have developed and debugged end-to-end analysis pipelines, trained semi-supervised models for variant classification, and streamlined data collection processes to improve database reliability. I work collaboratively across multidisciplinary teams, communicate technical results to non-technical stakeholders, and mentor junior staff while rapidly learning new tools and domains.
Experience
Work history, roles, and key accomplishments
Data Analyst (Bioinformatics)
GeneSpectrum Life Sciences LLP
Jan 2023 - Jan 2025 (2 years)
Analyzed complex omics and clinical datasets to generate patient- and variant-level insights, built R Shiny and Nextflow pipelines, and improved data collection reliability by diagnosing and correcting major pipeline inefficiencies.
Junior Data Analyst
Clarity Biosystems India Pvt. Ltd
Jan 2021 - Dec 2022 (1 year 11 months)
Developed Python and R scripts for metabolomics data cleaning, transformation and visualization, identified alignment-related misclassification bugs, and proposed fixes to improve tool accuracy and usability.
Education
Degrees, certifications, and relevant coursework
Savitribai Phule Pune University
Master of Science, Bioinformatics
2018 - 2020
Grade: 9.4/10 CGPA
Completed an MSc in Bioinformatics with a strong academic record and practical training in computational biology and data analysis.
Savitribai Phule Pune University
Bachelor of Science, Biotechnology
2015 - 2018
Grade: Graduated with Distinction
Completed a Bachelor of Science in Biotechnology with distinction, covering core laboratory and molecular biology concepts.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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