Rahul Gaikwad

Rahul Gaikwad Email and Phone Number

Data Scientist at Marsh @ Marsh
new york, new york, united states
Rahul Gaikwad's Location
Mumbai, Maharashtra, India, India
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 Details
Marsh

Marsh

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Data Scientist at Marsh
new york, new york, united states
Website:
marsh.com
Employees:
20213
Rahul Gaikwad Work Experience Details
  • Marsh
    Senior Manager - Data Scientist
    Marsh Apr 2024 - Present
    India
  • Marsh
    Manager - Data Scientist
    Marsh Jul 2021 - Mar 2024
    India
  • Icici Lombard
    Data Scientist
    Icici Lombard Nov 2019 - Jul 2021
    India
    • 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.
  • Cerelabs
    Ai Project Lead
    Cerelabs Apr 2019 - Nov 2019
    India
    • 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 impediments, and coordinated the release management activities. Successfully implemented solutions using Agile (SCRUM) Methodology by playing the roles of Product Owner as well as Scrum Master in different projects.• 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 AADHAAR details if mentioned anywhere in the form.• 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 used for monitoring, troubleshooting IT environments.
  • Cerelabs
    Ai Developer
    Cerelabs Jun 2018 - Mar 2019
    India
    • 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 which is designed specifically for production use.Use cases like unstructured residential addresses(data sourcetext), Printed letter content(data source-image) etc.• 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 Classification API to build cognitive services for converting unstructured and dark data for Handwritten forms and Invoices.This combined approach ensured the accuracy required for most automation tasks – upwards of 95%.
  • Cerelabs
    Project Fellow
    Cerelabs Sep 2017 - Jun 2018
    India
    • 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) system in customer service desks, sales and marketing amongst other departments to get intents and entities from email.• 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 capacity planning, performance tuning, cluster Monitoring, Troubleshooting.
  • Cerelabs
    Project Intern
    Cerelabs Jun 2017 - Sep 2017
    India
    • 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 ecosystem engagement strategy.Participated in the development of IoT road maps and support the technical decisions.

Rahul Gaikwad Education Details

Frequently Asked Questions about Rahul Gaikwad

What company does Rahul Gaikwad work for?

Rahul Gaikwad works for Marsh

What is Rahul Gaikwad's role at the current company?

Rahul Gaikwad's current role is Data Scientist at Marsh.

What schools did Rahul Gaikwad attend?

Rahul Gaikwad attended Mithibai College, Kc College.

Who are Rahul Gaikwad's colleagues?

Rahul Gaikwad's colleagues are Donna Savage, Laurence Barboza, Sandy Mellor, Marline Manuel De Condinguy, Ethan Oliver, Ali Jan, Sebastian Schmidt.

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