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Helly Parmar

Helly Parmar

AI-ML Engineer Intern | Data Science | Big Data Analytics

Talent
AhmedabadMember since September 28, 2026
PythonSQLRetrieval-Augmented Generation (RAG)Causal InferenceTableau
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PythonSQLRetrieval-Augmented Generation (RAG)Causal InferenceTableau

About

Analytically driven Master's candidate in Big Data Analytics with a solid foundation in Advanced Statistics. Proficient in Python, SQL, R, and Tableau, with hands-on experience in machine learning and a foundational understanding of deep learning and AI concepts. Adept at engineering large-scale datasets, validating predictive models, and translating complex data into actionable business intelligence.

Seeking a Data Science role to apply analytical skills and data-driven problem-solving to optimize decision-making.

Experience

AI-ML Engineer Intern at Sun Pathology Laboratory & Research Institute (2026-08 – Present)

  • Engineered an AI-powered voice agent for Earthora, designing conversational workflows to automate customer interactions, product inquiries, and information retrieval through a voice-based interface.
  • Developed and integrated a production-grade customer web platform for Earthora, supporting product discovery, ordering, customer inquiries, and access to company and product information in collaboration with the engineering team.

Data Science Intern at Petpooja Co. — Prayosha Food Services Pvt. Ltd. (2025-12 – 2026-07)

  • Conducted rigorous structural quality checks, systematically identifying and resolving data anomalies to ensure highly reliable and consistent inputs for downstream machine learning applications.
  • Engineered analytical features and validated predictive model outputs against established baseline metrics, rigorously evaluating overall performance to guarantee high prediction accuracy prior to final product integration.

Big Data Analysis Intern at YHonk India Pvt. Ltd. (2025-03 – 2025-11)

  • Cleaned, structured, and analyzed continuous, high-volume audio sensor data streams—resolving anomalies and inconsistencies—to significantly improve the accuracy of detecting noise occurrences within designated No Honking Zones.
  • Designed and deployed dynamic geo-visualizations using Folium, map polygons, OpenStreetMap, and the Google Maps API to spatially map noise hotspots and support data-driven operational decisions.

Education

Master of Science in Big Data Analytics – St. Xavier's College (Autonomous), Ahmedabad (2024 – 2026)

Post Graduate Diploma in Data Analysis – B. K. School of Professional & Management Studies, Ahmedabad (2023 – 2024)

Bachelor of Commerce in Advance Statistics – H. L. College of Commerce, Ahmedabad (2020 – 2023)

Skills

AI-ML Engineer InternData ScienceBig Data Analytics

Reviews

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