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Akhilesh Rai
Data Scientist || IIM Alumnus
About
Akhilesh Rai is a highly skilled Data Scientist with over 7 years of experience in making solutions using structured and unstructured data. He is an IIM Alumnus and a Kaggle Kernel Expert, with expertise in Statistics, Machine Learning, Deep Learning (CNN, RNN, Markov), Timeseries and NLP. Currently, he is working as a Senior Data Science Consultant at Capgemini, where he has developed a solution using NLP and Bert for a Healthcare Company, and holds a Microsoft Azure Data Science Certification. In his previous role as a Consultant - Analytics and Data Science at Eli Lilly and Company, Akhilesh worked on the company's Enterprise Knowledge Discovery Space, enhancing it using ML/DL and Pharma Knowledge Discovery NLP use cases. He also built an NLP Based Application for Information Retrieval and Processing using IBM Watson Explorer Services and Raw NLP. He has worked on various solutioning and consulting projects, including People Also Search For Feature, Question Answering, Covid19 News Dashboard, Literature Review, and Knowledge Discovery. As a Lead Data Scientist at Tech Mahindra, Akhilesh crunched insights from data and made models based on Machine Learning, Deep Learning (RNN(Bidirectional LSTM)), CNN(YOLO, Inception, and others) and Market Basket. He created an IP for the organisation as an own product for Named Entity Recognition using RNN and NLP. He consulted clients on using data through Artificial Intelligence, worked on due diligence on clients' processes to find potential AI use cases, and mentored teams of Data Scientists to build AI solutions. Akhilesh holds a Master of Business Administration in Analytics from IIM and a Bachelor's degree in Computer Science and Engineering from RGPV. He also has a Senior Secondary degree in Maths science from St. Xavier's High School - India and an ICSE degree in Maths, Science from St. Xavier's High School Jabalpur. His tech stack includes Data Scientist, NLP, Research Scientist, Search, Deep Learning, BERT, RNN, ML, CNN, AI, Information Retrieval, and Azure. In summary, Akhilesh Rai is a highly skilled Data Scientist with a vast experience in making solutions using structured and unstructured data. He is a Microsoft Azure Data Science Certified professional and holds expertise in Statistics, Machine Learning, Deep Learning (CNN, RNN, Markov), Timeseries and NLP. He has worked with Eli
Education
• iim amritsar indian institute of management amritsar
• rajiv gandhi prodyogiki vishwavidyalaya
• st. xaviers high school india
• st. xaviers high school jabalpur
Companies
• eli lilly and company
• capgemini
• tech mahindra
• tuv sud
• apexon
• tcs
• bsnl
Experience
9.3 Years
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Experience
Consultant - Analytics and Data Science
eli lilly and company | Bengaluru, Karnataka, India
2019 - 2022
Lead Data Scientist - Artificial Intelligence COE
tech mahindra | Bengaluru, Karnataka, India
2018 - 2019
Skills
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analytics
Artificial Intelligence (AI)
Automation
Azure
BERT
Business Analysis
Business Strategy
Communication
Computer Vision
Consulting
Data Analysis
Data Science
Data Scientist
Deep Learning
Employee Engagement
Healthcare
Information Retrieval
Interpersonal Skills
Leadership
Lifelong Learning
Machine Learning
Machine Learning (ML)
Management
Matlab
Microsoft Azure
Microsoft Excel
Minitab
MLOps
Natural Language Processing (NLP)
NLU
Octave
OpenCV
Oracle SQL
Presentation Skills
Project Management
Project Team Management
Public Speaking
pyspark
Python
Python (Programming Language)
Pytorch
R Programming
Recurrent Neural Networks (RNN)
Requirements Analysis
Research Scientist
RNN
Search
SPSS
Statistical Data Analysis
statistics
Team Leadership
Team Management
Thought Leadership
Contact Details
Email (Verified)
akhXXXXXXXXXXXXXXXXXXXinMobile Number
+91XXXXXXXX32Education
iim amritsar indian institute of management amritsar
Master of Business Administration - MBA
2015 - 2017
rajiv gandhi prodyogiki vishwavidyalaya
Bachelor's degree
2007 - 2011
st. xaviers high school india
Senior Secondary
2006 - 2007
st. xaviers high school jabalpur
ICSE
2002 - 2005
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