Freelance Data Scientists in Ahmedabad
Freelance Data Scientists in Ahmedabad
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Ratnapriya Lal
Ahmedabad, India
Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.
New to Contra
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Data Alchemist: Mess → ML/NLP Gold. 6+ Yrs Python.
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Summary of the work I've done in Data Science / ML
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37
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Named Entity Recognition API Development
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4
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Hybrid Recommender System Development
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5
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Image Similarity Search System Development
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4
Data Scientist
(3)
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Jineshwar Khatri
Ahmedabad, India
Data Expert: BI, Modelling & Pipeline Developer
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Data Expert: BI, Modelling & Pipeline Developer
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Persona Development - Customer Segmentation
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17
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Building a Highly Interactive Dashboard
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19
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Developing Reliable Data Pipelines
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34
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Data Scientist
(1)
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Nexariq
Ahmedabad, India
AI/ML & Full-Stack Development Studio
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AI/ML & Full-Stack Development Studio
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Unwrapping Beautiful Web Experiences – A Minimal & Luxurious UI Design for a Gifting Brand
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30
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From Passion to Pixels – Crafting a Charming Website UI for a Home Baked Cheesecake Business
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38
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Built an AI-powered internship matching platform with voice input, smart skill matching & personalized recommendations.
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52
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Built an AI internship matcher, a chat-to-JSON converter, and an automated email security pipeline.
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53
Data Scientist
(1)
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Krupa Parmar
Ahmedabad, India
Data Engineer · Python · Airflow · dbt · Kafka · AWS
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Data Engineer · Python · Airflow · dbt · Kafka · AWS
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Project 2 — Real-Time Sales Pipeline Title: Real-Time Streaming Pipeline — Kafka · PySpark · Grafana Description: Real-time event pipeline processing $368,919 in transaction volume at 110 orders/minute peak. Python producer → Kafka → PySpark Structured Streaming → TimescaleDB → Grafana dashboard with 30s auto-refresh. Full stack on Docker Compose. Link: https://github.com/Krupa03/realtime-sales-pipeline
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39
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Project 1 — E-Commerce ELT Pipeline Title: E-Commerce ELT Pipeline — Airflow · dbt · BigQuery Description: End-to-end ELT pipeline on 99.4K Brazilian e-commerce orders. Airflow orchestrates daily ingestion into BigQuery → dbt transforms across staging to mart layers. Surfaced R$16.4M customer LTV and R$1.25M peak monthly revenue for Looker Studio dashboards. 16 consecutive successful DAG runs under 6 minutes. Link: https://github.com/Krupa03/ecommerce-elt-pipeline
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49
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Project 4 — RAG Document Chatbot Title: RAG Document Chatbot — LangChain · ChromaDB · Streamlit Description: Fully local RAG application: PDF ingestion → 500-token semantic chunking → 73-chunk ChromaDB vector store → LangChain retrieval chain with source citations and multi-turn memory. Streamlit UI, no external API dependency. Link: https://github.com/Krupa03/rag-document-chatbot
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31
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Project 3 — Data Quality Checker Title: Data Quality Checker — AWS S3 · Terraform · GitHub Actions Description: A CLI tool automating data quality checks (nulls, duplicates, referential integrity, freshness, and schema drift) on a Kimball star-schema warehouse. AWS S3 provisioned as IaC with Terraform. Full CI/CD via GitHub Actions on every push. Link: https://github.com/Krupa03/data-quality-checker
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37
Data Scientist
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Pankaj Sahu
Ahmedabad, India
Content Writer
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Content Writer
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Google Colab
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4
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Google Colab
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6
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Google Colab
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4
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Nihar Thakkar
Ahmedabad, India
#1 Data Analytics Professional at Contra
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#1 Data Analytics Professional at Contra
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Creating a Data Warehouse for a Pharmacy Chain Based in UK
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17
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Building a Scalable Machine Learning Model
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13
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Predictive Analysis for Healthcare Outcomes
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9
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Data Scientist
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