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Data Science with less than a year in Data Analysis & Visualization using Python & Power BI.
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Assessing your cultural and operational fit
Biotechnology Engineering graduate specializing in data science and analytics with applications in biotechnology and chemical engineering. Detail-oriented graduate with hands-on experience in data handling, reporting, and dashboard creation using Excel, Power Query, Power BI, and Python. Skilled in data validation, documentation, and process coordination with a strong focus on accuracy and timely task completion. Possess strong communication, problem-solving, and team collaboration skills, with the ability to work effectively in fast-paced environments and support customer-focused operations.
APJ Abdul Kalam University
Btech Biotechnology and biochemical engineering · Biotechnology and biochemical engineering
January 1, 2021 – December 31, 2025
Luminar technolab
Intern
June 1, 2025 – March 1, 2026
Thrissur, Kerala, India
Healthcare Prescription Data Analysis
January 1, 2026 – December 31, 2026
Processed and analyzed healthcare prescription datasets using Python (Pandas, NumPy) and Excel Cleaned missing and duplicate records to improve data quality and reporting accuracy Created dashboards in Power BI to track usage trends and regional insights Generated summarized reports for data-driven decision-making
Pharmaceutical Manufacturing & Supply Chain Dashboard
January 1, 2026 – December 31, 2026
Developed a Power BI dashboard to monitor inventory, production trends, and supply chain performance Used Power Query and Excel for data transformation and validation Built KPI reports and visualizations to support operational tracking and reporting Improved data organization and reporting efficiency through dashboard automation
Pump Equipment Data Cleaning & Maintenance Reporting System
January 1, 2025 – December 31, 2025
Managed industrial equipment datasets containing pump IDs, serial numbers, and maintenance records Cleaned and validated data using Excel (VLOOKUP, PivotTables) and Power Query Generated maintenance tracking reports and improved data accuracy for spare parts planning Supported structured documentation and reporting workflows
Python from Hacker rank
Unknown
June 1, 2026 – Present
Matlab onramp
Unknown
June 1, 2026 – Present
Simulink onramp
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects span healthcare, pharmaceuticals, and industrial equipment, demonstrating a diverse interest in applying data analysis across different domains. This breadth, combined with an internship experience, suggests adaptability and a willingness to engage with varied business contexts. The focus on data quality, reporting, and dashboarding aligns well with roles that value data-driven decision-making and clear communication of insights. The candidate's profile emphasizes teamwork and customer-focused operations, indicating a collaborative and service-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including problem-solving, team collaboration, time management, and quick learning ability. These are essential for operational fit in a data science role, where collaboration and continuous learning are key. The project descriptions indicate an ability to work on structured tasks and contribute to reporting workflows, suggesting a good fit for roles requiring meticulous data handling and clear communication of insights.