Keshav User
@keshavuser1
Data scientist with 4+ years building ML, NLP, and scalable analytics solutions.
What I'm looking for
I am a data scientist with over four years of industry experience delivering machine learning, NLP, and forecasting solutions that drive product and business impact. I design, develop, and deploy end-to-end ML pipelines emphasizing scalability, interpretability, and measurable performance improvements.
My work spans A/B testing, causal analysis, churn prediction, demand forecasting, and GenAI implementations using tools like Airflow, dbt, Spark, and cloud platforms (AWS/GCP). I have built NLP pipelines with BERT and topic models, and engineered feature pipelines that enable low-latency, reproducible experimentation.
I translate complex data into executive-facing dashboards and actionable insights using Tableau, Power BI, and SQL, and I am comfortable operating across modern MLOps and ML tooling (Hugging Face, LangChain, Kubernetes, PyTorch, TensorFlow) to move projects from prototype to production.
Experience
Work history, roles, and key accomplishments
Freelance Data Scientist
Freelance
Nov 2024 - Present (1 year 1 month)
Designed and deployed ML and GenAI models for clients, built NLP pipelines (BERT, TF-IDF, LDA) and automated feature pipelines with Airflow and dbt to enable reproducible model experimentation and measurable KPI improvements.
Data Scientist
Wipro Technologies
Aug 2021 - Oct 2024 (3 years 2 months)
Designed and deployed ML and NLP solutions including churn prediction and forecasting models, improving retention and forecasting accuracy; built scalable ETL and feature pipelines using Spark and SQL. Led A/B experiments and created executive dashboards to surface KPI insights.
Education
Degrees, certifications, and relevant coursework
Abdul Kalam Technical University
Bachelor of Technology, Engineering / Technology
2017 - 2021
Grade: 7.5/10
Bachelor of Technology (Honors) with coursework and projects in machine learning, predictive modeling, and statistical analysis; graduated with a GPA of 7.5/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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