Ajeya Krishna Email & Phone Number

Bengaluru, Ka, In

Palo Alto, California, United States

Palo Alto, California, United States

Varanasi, Uttar Pradesh, India

Leveraged Transfer Learning with models like ResNet50 and EfficientNet to extract features from X-ray and CT scans, achieving 99.9% accuracy for COVID-19 detection in X-ray images and 99.4% in CT scans. Adapted models including SVC and Neural Networks for classification. We achieved 94% accuracy in segmenting COVID-affected lung regions.

Varanasi, Uttar Pradesh, India

1. Advanced Statistical Techniques and Modeling: Expertise in hypothesis testing, Markov models, stochastic processes, and Bayesian modeling for complex system analysis.2. Data Analysis and Machine Learning: Skilled in developing classification algorithms, cluster analysis, and data visualization, with proficiency in Python for machine learning.3. Robust Data Visualization: Strong capabilities in presenting data insights effectively through visualization techniques.4. Scalable Data Processing: Competent in using Linux-based environments and distributed computing for efficient data analysis and simulations.5. Simulation and Insight Extraction: Experienced in running simulations, analyzing data, and deriving actionable conclusions from data-driven insights.

India

Assisted in customer targeting and marketing using data-driven insights, leading to a 25% increase in customers. Conducted in-depth exploratory data analysis in Python and deployed ML models like Linear Regression and CART to predict product sustainability.

Varanasi, Uttar Pradesh, India

Organized and led 13 workshops over 3 days, achieving a record 2,000+ attendee count, the highest across IITs. Managed a team of 30 students and provided post-event analysis, budget recaps, and client feedback for future event planning.

Bengaluru, Karnataka, India

Developed a scientific model under Professor Subir K Das using Python and Jupyter Notebook to predict phase separation in mixtures at low temperatures. Utilized Mean Field Approximation of Ising Models, achieving Spinodal Decomposition and Nucleation mechanisms. Employed Monte Carlo Algorithm for enhanced simulation results.