Rahul Gaikwad Email & Phone Number
Who is Rahul Gaikwad? Overview
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Rahul Gaikwad is listed as Senior Manager - Data Scientist at Marsh, a company with 20213 employees, based in Mumbai, Maharashtra, India. AeroLeads shows a matched LinkedIn profile for Rahul Gaikwad.
Rahul Gaikwad previously worked as Manager - Data Scientist at Marsh and Data Scientist at Icici Lombard. Rahul Gaikwad holds Master Of Science, Computer Science, Cgpa 9.08 from Mithibai College.
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About Rahul Gaikwad
Achievement-driven professional with 6+ years of experience. Currently Seeking to build AI-first pipelines for Marsh McLennan.Believes that Machine Learning applied to Business intelligence will change the way we do business & also streamline the current processes with decision making pipelines which will automatically enforce people and upgrade their skills to stand in today's market.• Experience in architecting AI applications with Machine Learning, Deep Learning with Python. Deep Learning Techniques includes ANN,CNN,RNN/LSTM.• Skilled in libraries such as Keras, Tensorflow , Sklearn, Numpy, Pandas, Matplotlib.• Extensive knowledge of working with NoSQL databases like Mongodb and SQL databases like MySQL. • Worked with Devops teams for creating Software Versioning and Revision Control using Git, SVN• Also Worked for Deployment of Models using Dockers and Azure.• Rich experience in all phases of the software development life-cycle such as agile processes (requirements, design, development, testing, release, support), utilizing multiple development methodologies, including Design Patterns, OOP.• Expertise in manipulating and analyzing complex, high-volume, high-dimensionality data from varying data sources and big data sources.
Rahul Gaikwad's current company
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Rahul Gaikwad work experience
A career timeline built from the work history available for this profile.
Manager - Data Scientist
Data Scientist
- Responsible for end-to-end development of models starting with requirement analysis, data exploration, data extraction, feature engineering, model selection, training, and deployment.
- Designed and developed state-of-the-art production-ready solutions using advanced AI techniques.
- Proactively fetched information for all the verticals (6) under the property line of business.
- Analyzed the data for a better understanding of how the business performs and built AI tools that automate processes within the company.
- Helped the company to reduce the effort & time of the underwriter, further improving the quality of data.
- Ensured data quality throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment, etc.
Ai Project Lead
- Project Management: Technologies used: Trello, Scrum. Effectively managed the product backlogs in line with corporate strategies and goals, optimized team velocities, improved the team's capacity by removing.
- Aadhar number masking on aadhar cards and application form (2 mos): Technologies used: Python, OpenCV, OCR(Google Vision), sklearn, Probability.Designed, developed and deployed a system which is used to mask The.
- Log Analysis, Visualization & Monitoring with Elasticsearch & Elastic Stack (4 mos): Technologies used: Python, Java, Elasticsearch, Logstash, Kibana, Filebeat, AMQP.Designed, developed and deployed on ELK which is.
Ai Developer
- Named Entity Recognition with NLTK and SpaCy (4 mos)Technologies used: Python, Java, OpenCV, Spacy, NLTK, MySQL, Docker.Built applications that process and “understand” large volumes of text using spacy’s NER technique.
- Information Extraction from KYC and Other Documents (6 mos)Technologies used: Python, Java, scikit-learn, probability, Faster R-CNN, Mask R-CNN, MySQL.Concoct a Bayesian neural network, Machine Learning Text.
Project Fellow
- Intent Classification and Entity Extraction (6 mos)Technologies used: Python, NLTK, Stanford CoreNLP tool viz POS tagger, Constituency Parser, Dependency Parser.Designed, Developed and Deployed Email automation(NLU).
- Hadoop on Ubuntu Linux (2 mos)Technologies used: Linux, Hadoop HDFS, Java, Apache.Installed Hadoop and its related components in Single node as well as Multi node cluster environment using Apache.Hadoop Cluster.
Project Intern
- Industrial Equipment Monitoring System (6 mos)Technologies used: Python, Arduino, Raspberry Pi 3, mongo DB, MySQLResponsible for the acquisition and management of IoT services. Developed an overall IoT and Mobile.
Colleagues at Marsh
Other employees you can reach at marsh.com. View company contacts for 20213 employees →
Rahmah Drupadi
Colleague at MarshJakarta, Indonesia, Indonesia
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DI
Diana Isabel Cáceres
Colleague at MarshColombia, Colombia
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AY
Abha Yadav
Colleague at MarshEdison, New Jersey, United States, United States
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DK
Deepali Kakode
Colleague at MarshUnited Arab Emirates, United Arab Emirates
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LY
Lina Yupanqui Oliveros
Colleague at MarshPeru, Peru
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CP
Charlotte Poole
Colleague at MarshBromley, England, United Kingdom, United Kingdom
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VH
Vikki Hernandez
Colleague at MarshKansas City, Missouri, United States, United States
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KS
Karen Stovall
Colleague at MarshDetroit, Michigan, United States, United States
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SB
Sergio Braz
Colleague at MarshSão Paulo, São Paulo, Brazil, Brazil
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VF
Véronique Franken
Colleague at MarshBrussels Metropolitan Area, Belgium
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Rahul Gaikwad education
Master Of Science, Computer Science, Cgpa 9.08
Bachelor'S Degree, Computer Science, Final Sem - 88 %
Frequently asked questions about Rahul Gaikwad
Quick answers generated from the profile data available on this page.
What company does Rahul Gaikwad work for?
Rahul Gaikwad works for Marsh.
What is Rahul Gaikwad's role at Marsh?
Rahul Gaikwad is listed as Senior Manager - Data Scientist at Marsh.
Where is Rahul Gaikwad based?
Rahul Gaikwad is based in Mumbai, Maharashtra, India while working with Marsh.
What companies has Rahul Gaikwad worked for?
Rahul Gaikwad has worked for Marsh, Icici Lombard, and Cerelabs.
Who are Rahul Gaikwad's colleagues at Marsh?
Rahul Gaikwad's colleagues at Marsh include Rahmah Drupadi, Diana Isabel Cáceres, Abha Yadav, Deepali Kakode, and Lina Yupanqui Oliveros.
How can I contact Rahul Gaikwad?
You can use AeroLeads to view verified contact signals for Rahul Gaikwad at Marsh, including work email, phone, and LinkedIn data when available.
What schools did Rahul Gaikwad attend?
Rahul Gaikwad holds Master Of Science, Computer Science, Cgpa 9.08 from Mithibai College.
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