Raksham Pandey

Raksham Pandey Email and Phone Number

Working towards active citizens and satisfied customers @ Missing Edge
Raksham Pandey's Location
Belgium, Belgium
About Raksham Pandey

Blog - https://medium.com/@raksham_pI envision myself to be at the confluence of the streams of artificial intelligence and economics after having studied the former and gradually delving into the latter.Working towards understanding how the innumerable advancements made in computer science in the past few decades could be put to use for tackling increasingly interconnected problems such as inequality and climate change so that the next generation could be handed over a world that's atleast habitable.

Raksham Pandey's Current Company Details
Missing Edge

Missing Edge

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Working towards active citizens and satisfied customers
Raksham Pandey Work Experience Details
  • Missing Edge
    Co-Founder And Tech Head
    Missing Edge 2023 - Present
    Missing Edge is an AI research and development company helping small and medium-sized businesses in the EU and India to compete effectively with large corporations.Website :- https://missingedge.com/
  • Stealth Ai Startup - Heidover
    Co-Founder
    Stealth Ai Startup - Heidover 2022 - 2024
    Maastricht, Limburg, Netherlands
    "Heidover" is a collaborative project between Missing Edge LLP and Fair Consulting. It is an upcoming startup working with local governments on a plethora of hybrid online-offline solutions to propel citizen participation and personalise governance, starting with The Netherlands.Website :- https://www.heidover.com/
  • The Oppidan Foundation
    Master'S Thesis Student
    The Oppidan Foundation Aug 2020 - Sep 2021
    London, England, United Kingdom
    The powerful statistics surrounding schoolexclusions released by The Department for Education found that 49% of school exclusions take place before children have completed Year 8 (age 12). The Oppidan Foundation (OF) focuses on peer-mentoring that was developed following its research and pilot programmes in maintained secondary schools and sixth forms over the past years. The foundation’s primary focus is supporting at-risk young people within maintained secondary schools across the UK through peer-mentoring and training programmes. The seven qualities constituting the D7 system are based on how high performers succeed and the system governs the structure of these programmes.The programmes run for 1 year in multiple phases to ensure systemic change and support for these students. The first phase is a six-week mentor-training programme for students in Year 12 who will progress to become peer-mentors for at-risk Year 7 or 8 students in their school. This first phase sees OF mentors work with two Year 12 students for 1 hour a week, over 6 consecutive weeks. The impact estimation using GCMs was targeted mainly at this phase of the interventional programmes for multiple schools in the UK.Four schools from London and one from Coventry were taken into consideration with the total number of students being 91. Surveys were carefully designed with the Oppidan Foundation in close collaboration with its Director. Their belief has been that taking part in the programme increases D7 qualities in students and having the opportunity to engage with a mentor allows the individual space to develop and reflect on personal qualities that they want to improve.It was concluded that the enrollment of students into the six-week mentor training programme of the Oppidan Foundation has a strong and clear positive causal impact of almost 20% on an average on their D7 qualities.
  • Defence Research And Development Organisation (Drdo)
    Undergraduate Researcher
    Defence Research And Development Organisation (Drdo) May 2018 - Sep 2019
    New Delhi, Delhi, India
    Led multiple collaborative Artificial Intelligence projects for Human Machine Teaming under Dr. Sushil Chandra (Scientist 'G' and Head of Department) at INMAS, Delhi.• Human Swarm Intelligence for UAVs - BITS Goa.• LVC-Based Cognitive Augmentation - IIT Indore.• Cognitive Training in AR/VR - IIT Bhubaneswar.• Emotion Recognition from EEG signals using Deep Learning and Computer Vision.• Study of Application of Reinforcement Learning and Cognitive Architecture for Human Performance Modelling.
  • Kdnuggets
    Contributing Author
    Kdnuggets Aug 2017 - Jul 2018
    https://www.kdnuggets.com/author/raksham-pandey
  • Surge, One Bit Technology
    Teaching Assistant
    Surge, One Bit Technology Dec 2017 - May 2018
    Mumbai, Maharashtra, India
    Course on Artificial Intelligence (Deep Learning) and its numerous applications like Self Driving Cars, Speech Recognition (WaveNet) , etc along with latest developments like Capsule Networks.• Assisted in designing course curriculum and assignments.• Conducted practical lectures on NumPy, Tensorflow, CNNs, and LSTM.Course Director : Mr. Vikramank Singh (Amazon, UC Berkeley, Ex-Facebook)
  • Towards Data Science
    Contributing Writer
    Towards Data Science Jun 2017 - May 2018
    https://medium.com/@raksham_p

Raksham Pandey Skills

Machine Learning Deep Learning Java Python Big Data Analytics Artificial Neural Networks R C Microsoft Excel Algorithms Support Vector Machine

Raksham Pandey Education Details

  • Ku Leuven
    Artificial Intelligence (Engineering And Computer Science)
  • University Of Mumbai
    Computer Engineering
  • Smt Sulochanadevi Singhania School
    Smt Sulochanadevi Singhania School
    Computer Science
  • Smt Sulochanadevi Singhania School
    Smt Sulochanadevi Singhania School
    Computer Science

Frequently Asked Questions about Raksham Pandey

What company does Raksham Pandey work for?

Raksham Pandey works for Missing Edge

What is Raksham Pandey's role at the current company?

Raksham Pandey's current role is Working towards active citizens and satisfied customers.

What schools did Raksham Pandey attend?

Raksham Pandey attended Ku Leuven, University Of Mumbai, Smt Sulochanadevi Singhania School, Smt Sulochanadevi Singhania School.

What skills is Raksham Pandey known for?

Raksham Pandey has skills like Machine Learning, Deep Learning, Java, Python, Big Data Analytics, Artificial Neural Networks, R, C, Microsoft Excel, Algorithms, Support Vector Machine.

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