Ashutosh Tyagi
Principal Data Scientist
About Me
Principal Data Scientist with 15+ years of experience building scalable AI, Machine Learning, Big Data, and analytics solutions across Telecom, Automotive, Real Estate, IoT, CRM/BSS, Security Solutions, and AI infrastructure domains. Currently working at Radcom (with Rakuten), focusing on AI, Large-Scale Analytics, Telecom Intelligence, and Compute Strategy to drive customer growth, churn reduction, revenue optimization, and operational efficiency. 🌎 Global Experience: ~2 years of onsite experience across the USA & South Korea with exposure to enterprise-scale platforms, cross-functional collaboration, and stakeholder-driven delivery. 💡 Core Expertise: • AI/ML & Predictive Analytics • PySpark & Large-Scale Data Processing • Telecom & Network Analytics • ETL Pipelines & Feature Engineering • Forecasting, NLP & LSTM • AI/ML Infrastructure & Compute Strategy • Executive-Friendly Data Storytelling 🔧 Technologies: Python, PySpark, SQL, Hadoop, Databricks, AWS, TensorFlow, Scikit-learn, Tableau, Power BI, Streamlit, Pandas, NumPy, Git, Jira, and distributed analytics ecosystems. 👥 Leadership & Delivery: Experienced in team leadership, Agile/Scrum delivery, stakeholder management, mentoring, and building scalable business-oriented AI solutions with strong focus on adaptability and execution. Also passionate about mentoring professionals in Data Science, AI, PySpark, and scalable analytics through practical industry-oriented guidance and real-world problem-solving approaches.
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Career Journey
Principal Data Scientist
Radcom
2026-07 – Present
Frequently Asked Questions
Each session is tailored to your specific needs. We'll discuss your goals upfront, and I'll provide actionable advice, resources, and follow-up materials.
Based on candidate readiness and fit, I may choose to provide professional recommendations or introductions within my network after working together. This is not guaranteed and depends on team openings, fit, and your performance during our sessions.
Share your resume, LinkedIn, and specific questions/goals at least 24 hours before the session so I can prepare personalized advice.
You can reschedule up to 24 hours before the session. Cancellations made less than 24 hours in advance are non-refundable.
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