Kiran Kumar Email & Phone Number

Bengaluru, Karnataka, India

- Exemplified effective Team Leadership in delivering impactful solutions by spearheading village ranking and location intelligence projects.- Collaborated with stakeholders to define project objectives and deliverables, resulting in a 20% increase in project ROI- Demonstrated expertise in decision sciences to optimize data-driven decision-making processes, resulting in a 20% increase in efficiency.- Conducted thorough statistical analysis on large datasets, identifying trends and patterns to inform strategic business decisions.- Provided comprehensive technical assistance to clients, maintaining a 90% satisfaction rate in customer feedback surveys.- Implemented data-driven decision-making frameworks, resulting in a 15% improvement in project outcomes.- Ensured seamless project execution by coordinating cross-functional teams, leading to a 30% improvement in project delivery time.

Bengaluru, Karnataka, India

- Proficient in Data product validation. - Spearheaded initiatives to validate data products, by finding suitable proxy data and implementing robust validation frameworks. - Achieved a significant reduction in Turnaround Time (TAT) for product generation. - Established acceptance criteria for data products, ensuring the delivery of high-quality and accurate data solutions. - I specialize in Statistical Analysis and Data-driven Decision Making

Bengaluru, Karnataka, India

Worked on the project titled- “Enhancement of quality of livelihood opportunities and resilience for the people in Indian Himalayas, through the design of intervention strategies aimed at maximizing resource potential and minimizing risks in the urban-rural ecosystem”, where the tasks in this project include, prediction and forecasting the crop production time series using deep learning-based algorithm Long-short Term Memory (LSTM), and comparing the performance over machine learning algorithm Support Vector Regression (SVR) and classical models like ARIMA, ARIMAX, VAR validating the models, reducing the loss in the prediction of multivariate analysis, the detailed study was carried in fine-tuning of hyperparameters to get the optimized model in case of LSTM and algorithms for 4 different variants of LSTM were built. In this project.

Bengaluru Area, India

Master'S Degree In Agricultural Statistics, Marketing/Marketing Management, General

Agriculture Marketing And Co-Operation