11/10/2026 updated
100 % available
Team Lead – ML/AI Solutions & Data Science | Data Analyst | Dataiku Expert
Hyderabad, India
Worldwide
Masters of Technology in Communications (Communication System Engineering), KIIT Bhubaneswar, 2015About me
I am a tech expert who respectfully partners with clients to turn data into production delivering end-to-end projects using Python, SQL, PySpark, Dataiku, and Tableau. I am available for short- and long-term contracts, please share your goal to start a quick discovery. Thanks in advance!
Python (Programming Language)SQL Databases
Dataiku DSS & ML/AI Solution Development
Expertise in building and leading ML, AI, and GenAI solutions on the Dataiku platform, including process optimization, data analytics, R&D, and sustainability projects for high-profile clients across multiple industries.
Machine Learning & Predictive Analytics
Proficiency in developing ML models using techniques such as Classification, Regression, Forecasting, Clustering, Text Mining, Ensemble models, and Statistical & Hypothesis Testing to solve complex data-driven business problems.
Python & Data Engineering
Strong command of Python for data pre-processing, automation, ETL workflows, and building analytical pipelines, achieving measurable improvements such as 40% more reusability through scripted automation.
Natural Language Processing (NLP)
Experience in driving development of real-world NLP applications, including building natural language interfaces that simplify complex queries and enable users to convert business requirements into API calls.
Generative AI (GenAI) & LLMs
Hands-on experience building GenAI applications enabling users to query project details and generate scripts from natural language descriptions, as well as managing GPU environments to support LLM workloads.
SQL & Cloud Platforms (AWS, Redshift)
Practical expertise in SQL and cloud-based data platforms including Amazon Redshift and AWS basics, supporting scalable data storage and analytical workloads.
Kubernetes & GPU Environment Management
Capability to manage Kubernetes and GPU environments to support high-performance AI and ML applications, ensuring system performance, compatibility, and seamless integration across platforms.
Program & Stakeholder Management
Strong management expertise in setting up, managing, and leading delivery teams in globally integrated projects, with core competencies in Program Management, Stakeholder Management, and Business Analysis.
Data Mining & Business Analytics
Rich experience in driving development of real-world Data Mining and Analytics applications across industries including Banking, Insurance, Pharma, and Aviation, delivering cutting-edge insights and decision support.
Expertise in building and leading ML, AI, and GenAI solutions on the Dataiku platform, including process optimization, data analytics, R&D, and sustainability projects for high-profile clients across multiple industries.
Machine Learning & Predictive Analytics
Proficiency in developing ML models using techniques such as Classification, Regression, Forecasting, Clustering, Text Mining, Ensemble models, and Statistical & Hypothesis Testing to solve complex data-driven business problems.
Python & Data Engineering
Strong command of Python for data pre-processing, automation, ETL workflows, and building analytical pipelines, achieving measurable improvements such as 40% more reusability through scripted automation.
Natural Language Processing (NLP)
Experience in driving development of real-world NLP applications, including building natural language interfaces that simplify complex queries and enable users to convert business requirements into API calls.
Generative AI (GenAI) & LLMs
Hands-on experience building GenAI applications enabling users to query project details and generate scripts from natural language descriptions, as well as managing GPU environments to support LLM workloads.
SQL & Cloud Platforms (AWS, Redshift)
Practical expertise in SQL and cloud-based data platforms including Amazon Redshift and AWS basics, supporting scalable data storage and analytical workloads.
Kubernetes & GPU Environment Management
Capability to manage Kubernetes and GPU environments to support high-performance AI and ML applications, ensuring system performance, compatibility, and seamless integration across platforms.
Program & Stakeholder Management
Strong management expertise in setting up, managing, and leading delivery teams in globally integrated projects, with core competencies in Program Management, Stakeholder Management, and Business Analysis.
Data Mining & Business Analytics
Rich experience in driving development of real-world Data Mining and Analytics applications across industries including Banking, Insurance, Pharma, and Aviation, delivering cutting-edge insights and decision support.
Experience
Professional experience5 - 10 years
Freelancer since2020
Languages
GermanBasic knowledgeEnglishFluentHindiNative speaker
Project history
Led the Dataiku team in developing ML, AI, and GenAI solutions for process optimization, data analytics, R&D, and sustainability for high-profile chemical sector clients. Developed ML models and predictive analytics, designed tailored code environments for data scientists and ETL developers, managed Kubernetes & GPU environments for high-performance AI/ML applications including LLMs. Built a GenAI application for querying project details and generating API scripts from natural language, developed ML models for job monitoring and forecasting, and spearheaded migration of legacy Dataiku instances to new Python and Dataiku versions.
Led the Dataiku team to enable an Aviation client with technology-related decision making. Concretized Dataiku projects processing flight-by-flight snapshot databases including derate calculations. Leveraged Dataiku to drive acceleration of analytical solutions towards enterprise AI, addressed scalability, availability & security of Dataiku, ensured stakeholders had access to accurate key metrics, and automated operation, installation & monitoring of data science ecosystem components on Dataiku platform.
Pharma consulting role with large US Pharma clients focusing on automation and AI-based solutions. Assisted in recreating Master HCP Dataset for a brand in the Rare disease industry, implemented an AI-based web-scraping & reconciliation solution, leveraged Physician Demographics and Patient-level datasets. Established a demand-driven approach using ML/AI to predict potential binder patients and rolled up predicted patients at HCP level to understand potential impact on current HCP Targeting.