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Operations & Data Analyst - Research & Reporting

Location:
Kolkata, West Bengal, India
Posted:
September 17, 2026

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Resume:

MUSKAN AGARWAL

Operations & Data Analyst Research & Reporting

Kamarhati, Kolkata, West Bengal 700058 +91-628**-***** ****************@*****.***

LinkedIn: linkedin.com/in/muskan-agarwal-a450a13a5 PROFESSIONAL SUMMARY

A recent postgraduate in Marine Science with a bachelor’s degree in Zoology, seeking an Operations & Data Analyst role. Experienced in end-to-end research — from data collection and laboratory analysis to statistical evaluation and structured reporting — demonstrated through a dissertation analyzing antioxidant activity across seven mangrove species over four months. Skilled in Excel, R, and MATLAB for organizing and interpreting data, with a strong work ethic, attention to detail, and the ability to coordinate tasks and deliver accurate results on deadline. CORE COMPETENCIES

Operations & Analytics: Data collection & analysis, statistical evaluation, report writing, quality control, record keeping, deadline & task coordination, attention to detail

Technical Tools: Microsoft Excel, R Programming, MATLAB, MS Word, PowerPoint, Outlook; DPPH radical scavenging assay & laboratory techniques

Soft Skills: Written & verbal communication, teamwork & collaboration, independent working, problem-solving, adaptability, time management

EDUCATION

Master of Science (M.Sc.) — Marine Science CGPA 7.02 Ballygunge Science College, Calcutta University 2023 – 2025 Bachelor of Science (B.Sc.) — Zoology CGPA 7.488 Rammohan College, Calcutta University 2018 – 2022 ISC (Class XII) — Science 75.5%

Rose Bank Education (Care High School) 2015 – 2017 ICSE (Class X) — Science 73.2%

Monalisa English School 2013 – 2015

RESEARCH EXPERIENCE & DISSERTATION

Postgraduate Dissertation — Calcutta University

“Antioxidant Activity and Species Variability of Mangrove Leaves in The Sundarbans, India” Planned and executed an end-to-end research study, collecting and analyzing leaf samples from seven mangrove species across four months (March–June) to assess spatial and seasonal variation. Applied the DPPH radical scavenging assay and quantitative analysis to measure concentration-dependent antioxidant activity, identifying three species (A. ilicifolius, S. apetala, H. fomes) with over 75% scavenging efficiency. Tracked seasonal performance trends (peaks in S. apetala in April, B. gymnorrhiza in June) and documented data-driven conclusions on the pharmaceutical and nutraceutical potential of the samples. Compiled findings into a formal, structured report — strengthening skills in data organization, statistical interpretation, and technical reporting.

DATA & ANALYTICAL SKILLS APPLIED

Used R Programming to clean, organize, and statistically analyze research datasets, generating charts and summaries to support conclusions.

Applied MATLAB for quantitative computation and modeling of experimental data. Maintained accurate records and structured datasets in Microsoft Excel for review and reporting. ADDITIONAL INFORMATION

Languages: English, Hindi, Bengali

Availability: Immediate joining



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