Sagar Dewan

Co-Founder

New Delhi, Delhi, India12 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Founder of innovative No-API solution for CRM integration
  • Expertise in machine learning and data analytics
  • Published research on character recognition algorithms
Stackforce AI infers this person is a SaaS and Machine Learning expert with a strong focus on innovative tech solutions.

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Skills

Core Skills

ProgrammingMachine LearningMathematical Modeling

Other Skills

Data AnalyticsAlgorithmsMatlabLinuxSocial Media MarketingCHTMLC++JavaStatisticsOptimizationResearchManufacturingTeam Management

About

With over a decade of professional experience, my core competencies lie in programming, machine learning, and creating innovative tech solutions that streamline business processes. At Eazybe, we've developed a pioneering No-API solution that allows for seamless WhatsApp to CRM integration, providing real-time AI insights from customer interactions. This technology empowers businesses to harness the power of their data, enhancing customer engagement and strategic decision-making.

Experience

12 yrs 3 mos
Total Experience
3 yrs
Average Tenure
3 yrs 11 mos
Current Experience

Eazybe

Founder

Jun 2022Present · 3 yrs 11 mos · New Delhi, Delhi, India

  • Building a No-API solution to WhatsApp < > CRM Integration. Users can seamlessly sync their chats to their CRM & even get real-time AI Insights based on the customer insights.
ProgrammingMachine LearningData Analytics

Hans matrimony

Founder

Oct 2017Dec 2020 · 3 yrs 2 mos · New Delhi Area, India

  • Providing Matrimony Solutions for Bharat. We are creating a unique network of Micro-Marriage Bureaus by tying up with temples. With more than 25+ centres across Delhi-NCR we are growing a strong brand in the Personalised Hi-Touch Matchmaking Industry.

Itc limited

Assistant Product Manager

Jun 2012Sep 2016 · 4 yrs 3 mos · New Delhi Area, India

  • Product Manager - Premium Portfolio of ITC Personal Care (Fiama Di Wills and Vivel)

Indian institute of technology, madras

A system for offline character recognition using Auto-encoder Networks

Jun 2011May 2012 · 11 mos · Chennai, Tamil Nadu, India

  • To develop an algorithm to recognize words written by a set of 100 individuals, with more than 90% accuracy
  • Designed alternate approach using newly discovered -’Brain Inspired’-Deep Neural Networks
  • Published paper titled “A system for offline character recognition using Auto-encoder Networks” in 19th International Conference on Neural Information Processing (ICONIP2012)
AlgorithmsMachine Learning

National university of singapore

Machine Learning Summer School

Jun 2011Jul 2011 · 1 mo · Singapore

  • Interacted with various Machine Learning researchers(around 200 people) from all around the globe
  • Exposed to state of the art Machine Learning techniques used for efficient data regression and classification
Machine Learning

Riken brain science institute, japan

Research Intern - Modelling short term memory in the Brain

May 2009Jul 2009 · 2 mos

  • Mathematically model memory consolidation during sleep or quiescent behaviour
  • Improved the existing memory model to incorporate recent neuro-scientific findings
  • Proposed 3 extensions, incorporated one with closest realization to real life working of memory
  • Model being used as fundamental unit for building more sophisticated models by the research team
Mathematical Modeling

National brain research centre

Research Intern - Using Machine Learning to segment tissues in MR images of the brain

May 2008Jul 2008 · 2 mos

  • Designed an autonomous software to classify different tissues in the brain as White matter, Grey matter, CSF
  • Learned and implemented the four elemental Machine Learning algorithms- PCA, ICA, SVM, K-means Clustering
  • Presented a Poster on the topic at an International poster presentation program at RBSI
Machine Learning

Education

Indian Institute of Technology, Madras

Bachelor of Technology (B.Tech.)

Jan 2007Jan 2012

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