Vinay K.

About Vinay K.

Data Scientist with expertise in statistics, machine learning, and data visualization, specialized in devising innovative solutions to intricate business dilemmas across a diverse spectrum of domains, including finance, marketing, telecom, product development, cloud, sales, cybersecurity, and the aviation industryTechnical professional with a track record, for expertise in conducting exhaustive data research, strategic planning, and sophisticated analysis to fortify the foundations of Business Intelligence, data mining, machine learning and visualization undertakings. Proficiency extends to the development and execution of intricate data models and analytics, empowering the foresight required to furnish actionable insights that serve as a linchpin for astute operational decision-making.Mastery in the art of excavating, deciphering, and presenting intricate data sets in a hallmark, enabling meticulous tracking and optimization of performance metrics. Profoundly skilled in harnessing the might of cutting-edge machine learning algorithms, state-of-the-art visualization tools, and avant-garde BI platforms to architect intricate Big Data queries and deliver comprehensive reports tailored precisely to meet the exigencies of the organization. An agile professional, adept at gracefully navigating the currents of change, thriving amidst challenges, and demonstrating an unwavering capacity to surmount any impediments that dare to obstruct the path to success.

Experience

1. Senior Cybersecurity Data Scientist

   T-Mobile

   Jan 2023 — Present · Austin, TX, US

   Cybersecurity Data and cloud strategy team-Integrated Splunk, Python, SQL, and Power BI to forge a MFA adoption dashboard, pinpointing enrollment trends across T-Mobile\'s departments and tiers-Devised a vigilant URL analysis dashboard, fusing Splunk, Python, and Power BI, to categorize and block potentially malicious URLs from countries (Russia,China etc.) heightening web security-Designed dynamic dashboards leveraging Splunk\'s real-time monitoring capabilities to mitigate SIM swap threats, enhance IAM security, and uphold the integrity of multi-channel authentication through the utilization of Snowflake, machine learning, and Alteryx, incorporating anomaly detection techniques-Explored methodologies within the realm of Language Model-based Learning (LLM) to classify depicted activities according to the MITRE ATT & CK framework-Forged an executive-level cybersecurity strategy dashboard, harmonizing diverse metrics to enlighten decision-makers about threat detection, incident response, compliance, and cybersecurity maturity-Fortified T-Mobile\'s cybersecurity, fostering heightened vigilance, equipping stakeholders with data-driven tools to allocate resources astutely and align security with strategic business vectors.

Education

• Indiana University Bloomington

  Master's degree, Data science

  2016 — 2018

• Indiana Wesleyan University

  Master's degree, Management

  2021 — 2022

• Nagpur University

  Bachelor's degree, Electrical, Electronics and Communications Engineering

  2009 — 2013