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I am a Lead Data Scientist specializing in designing and deploying scalable ML and LLM-based systems for customer intelligence, telecommunications, and CRM. With 4+ years of hands-on experience, I design predictive models, reinforcement learning solutions, and intelligent routing to drive business growth. I am a TechWomen Awardee recognized for advancing scalable and responsible AI. I have delivered €15M+ in annual incremental revenue and built cloud-native pipelines that process millions of records daily. I enjoy mentoring teams and partnering with clients to translate complex objectives into production-grade AI solutions.…I am a Lead Data Scientist specializing in designing and deploying scalable ML and LLM-based systems for customer intelligence, telecommunications, and CRM. With 4+ years of hands-on experience, I design predictive models, reinforcement learning solutions, and intelligent routing to drive business growth. I am a TechWomen Awardee recognized for advancing scalable and responsible AI. I have delivered €15M+ in annual incremental revenue and built cloud-native pipelines that process millions of records daily. I enjoy mentoring teams and partnering with clients to translate complex objectives into production-grade AI solutions.

Dilkasha Tarannum

Data Scientist, AI Engineer, AI Developer, +2

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I am a Lead Data Scientist specializing in designing and deploying scalable ML and LLM-based systems for customer intelligence, telecommunications, and CRM. With 4+ years of hands-on experience, I design predictive models, reinforcement learning solutions, and intelligent routing to drive business growth. I am a TechWomen Awardee recognized for advancing scalable and responsible AI. I have delivered €15M+ in annual incremental revenue and built cloud-native pipelines that process millions of records daily. I enjoy mentoring teams and partnering with clients to translate complex objectives into production-grade AI solutions.…I am a Lead Data Scientist specializing in designing and deploying scalable ML and LLM-based systems for customer intelligence, telecommunications, and CRM. With 4+ years of hands-on experience, I design predictive models, reinforcement learning solutions, and intelligent routing to drive business growth. I am a TechWomen Awardee recognized for advancing scalable and responsible AI. I have delivered €15M+ in annual incremental revenue and built cloud-native pipelines that process millions of records daily. I enjoy mentoring teams and partnering with clients to translate complex objectives into production-grade AI solutions.

Available to hire

I am a Lead Data Scientist specializing in designing and deploying scalable ML and LLM-based systems for customer intelligence, telecommunications, and CRM. With 4+ years of hands-on experience, I design predictive models, reinforcement learning solutions, and intelligent routing to drive business growth.

I am a TechWomen Awardee recognized for advancing scalable and responsible AI. I have delivered €15M+ in annual incremental revenue and built cloud-native pipelines that process millions of records daily. I enjoy mentoring teams and partnering with clients to translate complex objectives into production-grade AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Lead Data Scientist (Applied AI) at Afiniti, Inc.

June 1, 2021 - Present

Designed and deployed AI orchestration systems optimizing agent–caller matchmaking across live communication streams, improving retention by 14%. Developed runtime pairing algorithms using Bayesian inference, reinforcement learning, and contextual embeddings for intelligent, adaptive routing decisions. Delivered €15M+ in annual incremental revenue via LLM-augmented agent modeling and churn/sales propensity models (LightGBM, XGBoost, Stan, ONNX). Engineered LLM-driven pipelines extracting behavioral and semantic features from CRM and call transcripts, boosting predictive accuracy by 1.2%. Built cloud-native CI/CD pipeline (Azure ML + GCP + Amazon Connect) processing 5M+ records/day, reducing latency by 60%. Collaborated with client success and analytics teams to translate business objectives into scalable AI solutions, driving measurable customer satisfaction gains. Mentored a team of 5 Data Scientists, managing model lifecycle, post-deployment evaluation, and experimentation strate

Data Science Intern at Salesforce

September 1, 2023 - October 1, 2023

Built a responsible AI chatbot using Salesforce Einstein and LLM APIs to generate analytics-driven recommendations, improving response efficiency by 27%. Integrated an LLM orchestration layer with Salesforce Lightning CRM enabling context retention and cross-domain task execution for SME clients.