Kani Analytics Email & Phone Number

Unlock the Strategic Power of Data for Success!Our highly-skilled team deliver top-notch integrated data solutions for data collection, turn-key analytics automation and data interpretation for strategic decision-making. Our extensive experience in data analytics covers diverse industries such as consumer, technology and language services. We take pride in successfully partnering with both commercial and government entities, and collaborating cross-functionally across various departments within organizations. One of our key strengths lies in our ability to effortlessly scale, thanks to our strategic alliances. This empowers us to adapt and provide the best data solutions that precisely match your unique requirements.Data services include: project management, research, survey design, field and digital experimentation, data cleansing, data storage, system integration, security, data sharing, data management platforms, software for automation, scalability, simulation, optimization, data-driven visualizations, insights and strategic decision-making stemming from descriptive, diagnostic, predictive analytics.

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  Principal

  Kani Analytics

  Mar 2019 - Present - Seattle, Washington, United States

  Research | Data Science | Software Engineering• Engage with leadership to understand needs and recommend Analytics and Data Science solutions.• Communicate effectively with executives via written and verbal modes including presentations and professional publications.• Partner with diverse customer and partner teams such as Product, Sales, and Finance Engineering team to define enterprise-level data solutions to enable analytical capabilities. • Drive data collection initiatives including third-party research, research study design, field and digital experimentation, data storage, data collation.• Lead the design, development, evaluation and deployment of data management and business intelligence systems such as advanced dashboards. • Design, build, monitor and maintain large scale machine-learning infrastructure and pipelines for advanced analytics including feature selection, model design, training, deployment, and model evaluation.• Apply the rigor of various statistical methods to results of diagnostic and predictive analysis ensuring final recommendations to stakeholders enable effective and sound data-backed decisions.• Hire, manage, coach, and lead a high performing team of Project Managers, Data Engineers, Data Scientists, Business Intelligence Engineers, BI Managers.