Roshni Sesharaju Katta
@roshnisesharajukatta
Data scientist specializing in ML/AI, data engineering, and production analytics for business impact.
What I'm looking for
I am a Data Science professional with three years of experience in analytics, machine learning, and data engineering, skilled at building production-ready ML solutions and data platforms. I have led initiatives such as recommendation systems, real-time dashboards, and cloud migrations that improved CTR, sales performance, query times, and cost efficiency.
My work emphasizes practical impact—using techniques from prompt engineering with Gemini LLMs to fuzzy search and cosine similarity—to drive product discovery and operational savings. I collaborate across functions, automate data workflows, and continuously learn to apply advanced ML/AI techniques for measurable business outcomes.
Experience
Work history, roles, and key accomplishments
Senior Data Scientist
BigHaat
Apr 2024 - Present (1 year 9 months)
Led development of Agrilytics and recommendation systems, improving recommendation CTR by 25% and repeat visits by 15%; built real-time sales monitoring dashboards that drove a 10% sales improvement over 8 months.
Data Science Engineer
BigHaat
Apr 2022 - Mar 2024 (1 year 11 months)
Led migration from Azure to GCP reducing query time by 40% and infrastructure costs by 25%; developed courier suggestion and logistics optimization reducing shipping costs by 10–15% and automated ETL to hourly with Prefect, cutting manual intervention 95%.
Education
Degrees, certifications, and relevant coursework
University of New South Wales
Master of Information Technology, Data Science
2019 - 2021
Master of Information Technology (Data Science) completed at the University of New South Wales from 2019 to 2021.
Nitte Meenakshi Institute of Technology
Bachelor of Engineering, Information Science and Engineering
2014 - 2018
Bachelor of Engineering in Information Science and Engineering from NHCE (affiliated to VTU), notable for top-semester ranks and a highest-semester score of 91.48%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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