
g janani
@gjanani
I turn business data into predictive insights and self-service dashboards.
What I'm looking for
I've analyzed customer churn for 7,043 clients, building a Python and PostgreSQL predictive pipeline that achieved 82.30% accuracy and a 0.845 AUC score with Logistic Regression.
I translate model outputs into practical risk matrices and early-warning indicators that help non-technical stakeholders protect at-risk revenue.
For Amazon sales analysis, I cleaned and explored 128,000+ transactional records, optimized PostgreSQL queries, and built Power BI and Tableau dashboards for self-service reporting. I also automated recurring operational updates with VBA macros.
My research in agricultural statistics has strengthened my approach to evidence-based analysis, from meta-analysis of climate-smart paddy practices in R to multivariate fisheries analysis in IBM SPSS Statistics.
Experience
Work history, roles, and key accomplishments
M.Sc. Research — Meta-Analysis of Climate-Smart Agriculture Practices in Paddy
College of Agriculture, Shivamogga, KSNUAHS
Oct 2025 - Aug 2026 (10 months)
Synthesized heterogeneous ecological data from sources such as Google Scholar, applying effect size calculations and heterogeneity assessments to resolve data variance and standardize findings. Built data preprocessing pipelines, transforming raw metrics into structured visual reporting to support evidence-based conclusions.
Fisheries Research Data Analysis
College of Agriculture, Shivamogga, KSNUAHS
Jun 2026 - Present (4 months)
Executed multivariate statistical analysis on fishery data using IBM SPSS Statistics to uncover trend patterns, translating outputs into structured interpretations for official project reporting and evidence-based documentation.
Education
Degrees, certifications, and relevant coursework
College of Agriculture, Shivamogga, KSNUAHS, Iruvakki
M.Sc., Agricultural Statistics
Pursued an M.Sc. in Agricultural Statistics, including research on climate-smart agriculture practices in paddy.
College of Agriculture, GKVK, University of Agricultural Sciences, Bengaluru
B.Sc. (Hons.), Agriculture
Grade: 8.4/10
Completed a B.Sc. (Hons.) in Agriculture with a CGPA of 8.4/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/g-janani1312Salary expectations
Social media
Skills
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