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Rajan Kumar Yadav

MLOps Tech Lead | Artificial Intelligence Specialist | Data Scientist | Machine Learning Architect | MLOps Engineer | Python Programmer | MLOps Trainer | Mentor | Corporate Trainer

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About

Rajan Kumar Yadav is a seasoned Data Scientist, Machine Learning Architect, Artificial Intelligence Specialist, MLOps Engineer, Python Programmer, Trainer, and Mentor with over 10 years of hands-on experience in developing and designing highly scalable, reliable, and high-performing applications in the Analytics domain. He has a keen eye for quality and process, ensuring that every project he works on meets the highest standards. Rajan is proficient in identifying and applying the appropriate data analytics algorithm that can be used for the data aggregated, including Unsupervised Learning (Clustering, Factor Analysis, Association Rule Mining) and Supervised Learning (Classification, Neural Nets, Support Vector Machines, Regression, etc.). He has experience in designing, developing, and analyzing applications in big data technologies using Hadoop, HDFS, Hive, Spark, and Python. He is capable of processing large sets of structured, semi-structured, and unstructured data. Rajan is a self-motivated and hardworking individual who strives to get internally and externally recognized in the area by continuously learning and developing new algorithms in the data science space. He is currently working as a Lead Data Scientist Architect at HCL and has previously worked as a Lead Data Scientist at Mindtree and as a Data Scientist at Cognizant. Rajan has a Master of Technology (M.Tech.) in Computer Science & Engineering from Jawaharlal Nehru Technological University and a Bachelor of Engineering (B.E.) in Computer Engineering from Maharashtra Institute of Technology. He is also currently pursuing a Nanodegree Program in Machine Learning Engineer with Microsoft Azure from Udacity. Rajan's technical expertise includes Data Science, Research Science, Senior Software Engineering, ML, Python, HDFS, Spark, Big Data, Mobile, Flask, Corpus, Azure, Web, NLP, Apache Hive, Neural Networks, Sentiment Analysis, Reinforcement Learning, Software Engineering, Seaborn, AI, Deep Learning, CI/CD, Kubernetes, Docker, and Pandas. With almost 9 years of relevant experience, Rajan is a highly skilled and knowledgeable professional who is committed to achieving organizational excellence by efficiently managing high-performance work systems and consistently enhancing his skills in the era of SMAC (Social, Mobile, Analytics & Cloud).

Education Overview

โ€ข udacity

โ€ข jawaharlal nehru technological university

โ€ข maharashtra institute of technology

Companies Overview

โ€ข fractal

โ€ข hcl

โ€ข ltimindtree

โ€ข cognizant

โ€ข robokidz eduventures

โ€ข cdacindia

โ€ข jawaharlal nehru technological university

Experience Overview

9.6 Years

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Contact Details

Email (Verified)

rkyXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX77

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Frequently asked questions

What company does Rajan Kumar Yadav work for?

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Rajan Kumar Yadav works for fractal

What is Rajan Kumar Yadav role in their workplace?

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Rajan Kumar Yadav's role in their workplace is Architect - AI & ML Engineering

What is Rajan Kumar Yadav's tenure in their workplace?

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Rajan Kumar Yadav's tenure in their workplace is 0.59 years

What is Rajan Kumar Yadav's total experience?

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Rajan Kumar Yadav's total experience is 9.58 years

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Rajan Kumar Yadav's LinkedIn profile can be found here

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Rajan Kumar Yadav's email address is rkyXXXXXXXXXXXXXXom. Unlock here

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Rajan Kumar Yadav's phone number is +91XXXXXXXX77. Unlock here

What schools did Rajan Kumar Yadav attend?

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Rajan Kumar Yadav has attended udacity, jawaharlal nehru technological university, maharashtra institute of technology

What companies has Rajan Kumar Yadav worked with?

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Rajan Kumar Yadav has worked with fractal, hcl, ltimindtree, cognizant, robokidz eduventures, cdacindia, jawaharlal nehru technological university

What are some of Rajan Kumar Yadav's skills?

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Rajan Kumar Yadav has skills in Algorithms, analytics, apache, Apache Hive, Apache Spark, Apache Spark and more.

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