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Nida Khalil
@nidakhalil4
Analytical, Collaborative and Innovative
Pakistan
Inglese
Chi sono
Hello, I'm Nida Khalil, a Statistician and Scientific Officer with 3+ years of professional experience in agricultural research, experimental design, and survey data analysis. I specialize in statistical analysis, data visualization, and statistical modeling using R/RStudio, Python, SQL, and Minitab. I have experience designing sampling strategies, analyzing research and survey data, developing publication-quality tables and graphs, and providing clear statistical interpretation. I help clients turn complex data into accurate, meaningful, and actionable insights.
Competenze
Nida Khalil
offline •
Tempo di risposta medio: 1 ora
Consulta i miei servizi
Consulenza di data analytics
I will do agricultural data analysis and visualization using r and python
Modello statistico e analisi
I will analyze your survey or research data using rstudio
Portfolio
Esperienza lavorativa
Scientific Officer( Statistics)
Ayub Agricultural Research Institute, Faisalabad, Punjab, Pakistan. • Full time
Jun 2023 - Present • 3 yrs 4 mos
I am a Statistical Analyst and Data Scientist with professional experience as a Scientific Officer in the Punjab Agriculture Department. I design field, lab, greenhouse, and screen-house experiments using RCBD, CRD, Split Plot, Alpha Lattice, Factorial, and other advanced designs. I also conduct field verification across research stations to ensure proper layout, randomization, and treatment application. I analyze complex datasets using RStudio, Python, SPSS, and Excel, performing ANOVA, regression, correlation, path analysis, PCA, G×E studies, and mixed models (REML/BLUP). I interpret results for scientists and support high-quality research outputs. I also vet Annual Research Programs, review experiment methodology, maintain provincial crop statistics (area, production, yield), and train researchers in experimental design, data analysis, and software skills.
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giozuzu
Colombia
Excellent work. Nida delivered a thorough, well-structured statistical analysis with clear visuals and practical interpretation. Very responsive to feedback and a pleasure to work with. Highly recommended.
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