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Data Analyst with less than a year in Life Sciences & Pharma, skilled in Python, SQL, and Power BI.
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Assessing your cultural and operational fit
Data analytics professional with unique combination of life sciences expertise and technical data skills. MSc in Biopharmaceuticals from King's College London with published research demonstrating advanced analytical capabilities. Currently completing intensive Data Analytics training (Python, SQL, Power BI, Tableau, Azure). Experienced in analyzing large experimental datasets, high-throughput screening data, and scientific workflows. Strong foundation in statistical analysis, data visualization, and translating complex datasets into actionable insights. Seeking Junior Data Analyst or Clinical Data Analyst role in pharmaceutical, biotech, or healthcare sector.
King's College London
MSc · Pharmaceutical Analysis, Technology & Biopharmaceuticals
August 1, 2022 – June 30, 2024
Dr. D.Y. Patil University, Pune
BTech · Biotechnology
August 1, 2018 – June 30, 2022
King's College London
Research Assistant
April 1, 2023 – August 1, 2023
London, England, United Kingdom
Eisen Pharmaceutical Company
Quality Control Intern
May 1, 2022 – June 1, 2022
Pune, Maharashtra, India
Souvin Pharmaceuticals
QC Intern
January 1, 2022 – April 1, 2022
Pune, Maharashtra, India
Q1 Bookstore Sales Analysis
June 24, 2026 – Present
Cleaned, unioned, and left-joined multiple disparate relational datasets (monthly transaction logs, book metadata, and publisher information) to build a unified database of 3,000+ records. Authored custom logic and calculated fields to move beyond raw metrics, including Avg. Sales per Order and a conditional string metric to segment transaction volumes into categorical behavioural buckets (Small, Medium, Large orders). Created a suite of 9 interconnected worksheets featuring weekly sales trend lines, a high-density Genre-vs-Region heatmap matrix to pinpoint regional stock gaps, and a scatter plot to isolate performance outliers. Synthesized all worksheets into a cohesive, interactive executive dashboard equipped with synchronized global data filters, demonstrating that large bulk orders (5+ units) represented a high-margin growth priority despite lower volume.
CoffeeChain Sales & Profit Analysis
June 24, 2026 – Present
Processed and analyzed the CoffeeChain_Sales_Analysis.csv dataset to map performance variables across diverse markets, product types, and geographic regions. Developed structured bar charts and geographic visualizations comparing gross sales directly against net profit margins, revealing hidden variations where high-revenue product lines incurred disproportionate operational costs. Grouped products by category (Coffee, Tea, Espresso, Herbal Tea) against regional performance to identify underperforming stock-keeping units (SKUs) and localized market trends. Consolidated findings into an executive-ready visual deck for leadership, delivering data-driven forecasting models to optimize inventory allocation and promotional spend for the upcoming two quarters.
Microsoft Power BI Data Analyst
Unknown
June 1, 2026 – Present
CompTIA Data+
Unknown
June 1, 2026 – Present
Microsoft Azure AI Fundamentals
Unknown
June 1, 2026 – Present
Introduction to Generative AI
Google Cloud Skills Boost
June 1, 2026 – Present
Introduction to Large Language Models
Google Cloud
June 1, 2026 – Present
Introduction to Responsible AI
Google Cloud
June 1, 2026 – Present
Writing in the Sciences
Stanford University
June 1, 2026 – Present
AI-Powered Drug Target Discovery
NyBerMan Bioinformatics
June 1, 2026 – Present
Data Analytics Career Programme
Newto Training
October 1, 2025 – Present
Directed Evolution of Reductive Aminases for MAOI Synthesis.
JACS Au
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's background in pharmaceutical analysis and biotechnology, combined with their pursuit of data analytics skills, positions them well for roles in the life sciences domain. Their project diversity, though limited to two main projects, shows a practical application of data analysis techniques. The breadth of skills being acquired (Python, SQL, Tableau, Power BI, Azure, AI/ML concepts) indicates a proactive learning attitude and adaptability, which are positive cultural fit indicators. However, the experience level is entry-level for a data analyst role, which might require a specific cultural environment that supports growth.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work and research experience. Their ability to collaborate in research teams and maintain data reproducibility suggests attention to detail and a methodical approach. The focus on delivering data-driven recommendations indicates a business-oriented mindset. However, the resume does not provide explicit details on stress handling or team collaboration in a corporate data analyst setting.