• General Info
  • Experience
  • Education
R
ML Expert
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Rishikeesh UTC+5.5
Available starting: October 12 Remote
Senior
43.75 $/hour 7000 $/month (160 hours/month)
rent from 1 month
General Info
Role
ML Expert
Grade
Senior
Key skills
Python
FastAI
API
Behat
Spark
AES
Deep Learning
ALD
CRUD
TensorFlow
GitFlow
Logs
Karaf
Computer Vision
RxFlow
GraphDB
1C
Slack
HuggingFace
EDI
Gin
Docker
Kubernetes
Pentest
Prometheus
Grafana
Terraform
Elasticsearch
Data Science
Certbot
MS Power BI
Tableau
Boost
CQL
Seaborn
CDI
Tesseract
Numpy
Use Case
Data Maniplutation
OpenCI
BigQuery
Predictive Modeling
Data Binding
Languages
  • English - C2
  • Hindi - C2
BIO
Mahamuni Sr. Data Scientist Experienced Data Scientist with 8.7+ years of proven success in advanced analytics and machine learning. Expert in developing impactful predictive models and translating complex insights for non- technical audiences. Rishikeesh has an experience in the domain of 'Information', particularly in the sub-domain of 'Data Processing, Hosting, and Related Services. The candidate has been working as a Sr . Data Scientist at Citibank Inc for the last 2.2 years.
Type of engagement
Specialist's location
India, Pune, UTC+5.5
Ready for relocation
No
Partner's location
India country flag
Experience 4  (8 years 8 months)
Sr. Data Scientist
Role
Senior Data Scientist
Description of Project
Citibank is the consumer division of financial services multinational Citigroup. Citibank was founded in 1812 as the City Bank of New York and later became the First National City Bank of New York Achievements/Tasks Leading AI/ML team, working on trade data Build end to end machine learning applications. Implementing and handling MLOps pipeline as well. Techniques used - classification, chatbots, fails prediction, NER extraction for trade settlement documents Projects : Named Entity Extraction from Trade Settlement Document : Implemented the DocumentAI technique LayoutlmV3 on top of the existing Tesseract and Python module for named entity extraction in trade settlement documents. This enhancement has resulted in an overall accuracy improvement from 70% to 90% Python, LayoutLMV3, Paddle OCR, Mlflow, Transformer PDF chatbot for MRM (Model Risk Management) queries : Developed a chatbot application using Langchain and Llama2, which leverages information from multiple PDF documents to explain the model risk management process. This tool assists AI/ML developers in effectively mitigating risk regulations related to the machine learning model Python, Langchain, Llama2, pinecone, Pypdf
Period
01.2022 — 02.2024 (2 years 2 months)
Education 2
School
University of Pune
Degree
Bachelor's Degree
Field Of Study
Computer Engineering
Year of graduation
2013

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