Abhayanker Singh Yadav

Results-driven professional with a Master’s in Data Analytics. Skilled in data science, predictive modeling, and software development, with strong expertise in programming, analytics, and web technologies. Proven ability to deliver innovative, data-driven solutions that improve decision-making and business outcomes.

Smart Power Supply Imbalance Management

• Forecasted half-hourly electricity supply–demand imbalances in Queensland using XGBoost and SARIMAX
• Engineered time lag and temporal features (e.g., lag 48, seasonal decomposition) to capture daily and weekly seasonality
• Achieved R² = 0.978 with XGBoost, enabling improved grid reliability and proactive energy resource planning

Smart Pasture Management

• Applied decision tree and random forest models to predict total standing dry matter (TSDM) using more than six years of climatic and paddock data
• Conducted EDA and feature engineering (rainfall, evaporation, temperature, radiation) to uncover drivers of pasture biomass
• Identified rainfall and solar radiation as positive predictors, while high evaporation negatively impacted pasture quality, supporting sustainable land management

Investigating Gene Expression Deregulation in COVID-19

• Performed RNA-seq differential expression analysis with DESeq2 and EdgeR, identifying downregulated genes in COVID-19 patients
• Selected LINC01376 as a key target and designed CRISPR gRNAs (135rev, 277rev) with high specificity and efficiency
• Used CRISPOR and CRISPRitz to validate gRNAs across multiple human genomes, minimizing off-target effects, and demonstrating potential for CRISPR-based therapeutic interventions