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ANRAG .
Senior Data Scientist at JunoTerra
About
ANRAG is a highly skilled Senior Data Scientist with over 7 years of relevant experience in the industry. Currently working at JunoTerra, ANRAG is involved in a sustainable farming project that includes an Aquaponics System, using Arduino and Raspberry Pi, and growing plants in an artificial environment. ANRAG has published three papers in international conferences and is committed to working towards sustainable goals. ANRAG possesses a diverse skill set that includes GTFS, Transit, maps, GIS, Geo Analysis, AI, Nueral Networks, deep learning NLP, Unsupervised Learning, Sklearn, SQL, leaflet, geocoding, geojson, topojson, image processing, computer vision, Predictive Analytics, Information Retrieval, and ETL. With such a wide range of skills, ANRAG is equipped to handle complex data science projects with ease. Prior to joining JunoTerra, ANRAG worked at CivilCops as Head Data Initiatives and Data Storyteller. At CivilCops, ANRAG provided Artificial Intelligence-powered chat and voice interfaces integrated over multiple platforms to engage residents in providing feedback/suggestions on public services and reporting non-emergency complaints they are facing. ANRAG's expertise in Python, R, leaflet, geocoding, geojson, topojson, openstreetmaps, GIS, and AI helped to create a new kind of city service approach. ANRAG holds a Master of Technology degree in Data Analytics from Jaypee Institute of Information Technology and an Engineer's Degree in Computer Science & Engineering from Maharshi Dayanand University. ANRAG's tech stack includes Data Scientist, Research Scientist, SQL, Information Retrieval, AI, Computer Vision, Image Processing, Deep Learning, NLP, Scikit, ETL, and Python. Overall, ANRAG is a highly skilled and experienced data scientist with a passion for sustainability and a diverse skill set that makes them an asset to any team.
Education Overview
Companies Overview
• junoterra
• civilcops now dolphinchat
• rconnect systems
• drdo
Experience Overview
9.2 Years
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