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Ratnadip Adhikari

π·π‘Žπ‘‘π‘Ž 𝑆𝑐𝑖𝑒𝑛𝑑𝑖𝑠𝑑 @π‘‡π‘–π‘”π‘’π‘Ÿ π΄π‘›π‘Žπ‘™π‘¦π‘‘π‘–π‘π‘  || 12 π‘Œπ‘‚πΈ || 𝐴𝐼 & 𝑀𝐿 || 𝐺𝑒𝑛𝐴𝐼 || πŸ“šπ‘ƒβ„Žπ· (𝐢𝑆) @π½π‘π‘ˆ || πŸ“šπ‘€π‘†π‘ (π‘€π‘Žπ‘‘β„Žπ‘ ) @𝐼𝐼𝑇 π‘…π‘œπ‘œπ‘Ÿπ‘˜π‘’π‘’ || 𝐸π‘₯ - πΉπ‘Ÿπ‘Žπ‘π‘‘π‘Žπ‘™ π΄π‘›π‘Žπ‘™π‘¦π‘‘π‘–π‘π‘ 

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About

Ratnadip Adhikari is a Lead Data Scientist with 9+ years of experience in Artificial Intelligence & Machine Learning (AI & ML). He has achieved a PhD in Machine Learning, with his primary research area being Time Series Forecasting. Ratnadip has in-depth knowledge of several advanced analytics techniques, and is equipped with considerably good programming skill, rapid understanding of business needs and experience in leading teams of Data Scientists. Ratnadip has extensively worked on diverse Data Science domains including Supervised & Unsupervised Learning, Time Series Forecasting, Predictive Modeling, Text Analytics, Probabilistic Graphical Models, Bayesian Belief Networks, Marketing Mix Problems, Growth Drivers Analysis and Digital Attribution. He has worked on several high-visibility Data Science case studies and was instrumental in end-to-end development, deployment and productization of some cutting-edge ML solutions. The AI & ML application areas he has worked on so far include – Health Care, CPG, Retail & Insurance, Media & Entertainment and Public Service domains. Ratnadip is skilled in several programming languages including R, Python, SAS, C, C++, MATLAB, MATHEMATICA, LATEX and MS Office. He also has hands-on experience on AWS and Azure, and working knowledge on Hadoop, Hive, SQL, pySpark and Big Data. Currently, Ratnadip is working as a Lead DS with Leoforce, where he is developing scalable solutions through Machine Learning, Deep Learning, and NLP in order to improve the best-matched candidate profiles for recruiters. He has also worked with Fractal as a Lead Data Scientist and Senior Data Scientist, managing Data Science teams for delivering high-quality solutions through Fractal's AI, Engineering & Design (AED) philosophy. Ratnadip is a Data Science enthusiast who conducts an online Data Science course, targeted for working professionals, beginners and students who want to make a career in this domain.

Education Overview

β€’ jawaharlal nehru university jnu

β€’ iit roorkee indian institute of technology roorkee

β€’ gurucharan college gc college silchar

Companies Overview

β€’ tiger analytics

β€’ leoforce

β€’ fractal

β€’ the lnm institute of information technology jaipur rajasthan india

β€’ progress software

β€’ st. stephens college delhi

Experience Overview

11.6 Years

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Contact Details

Email (Verified)

adhXXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXX76

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Frequently asked questions

What company does Ratnadip Adhikari work for?

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Ratnadip Adhikari works for tiger analytics

What is Ratnadip Adhikari role in their workplace?

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Ratnadip Adhikari's role in their workplace is Associate Principal – Data Science

What is Ratnadip Adhikari's tenure in their workplace?

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Ratnadip Adhikari's tenure in their workplace is 0.92 years

What is Ratnadip Adhikari's total experience?

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Ratnadip Adhikari's total experience is 11.58 years

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Ratnadip Adhikari's LinkedIn profile can be found here

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Ratnadip Adhikari's email address is adhXXXXXXXXXXXXXXXXXXXom. Unlock here

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Ratnadip Adhikari's phone number is +91XXXXXXXX76. Unlock here

What schools did Ratnadip Adhikari attend?

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Ratnadip Adhikari has attended jawaharlal nehru university jnu, jawaharlal nehru university jnu, iit roorkee indian institute of technology roorkee, gurucharan college gc college silchar, gurucharan college gc college silchar

What companies has Ratnadip Adhikari worked with?

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Ratnadip Adhikari has worked with tiger analytics, leoforce, fractal, the lnm institute of information technology jaipur rajasthan india, progress software, st. stephens college delhi

What are some of Ratnadip Adhikari's skills?

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Ratnadip Adhikari has skills in Algorithms, Algorithms, Amazon S3, Amazon Web Services (AWS), Amazon Web Services (AWS), Analytics and more.

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