German A1.1
February 2025Udemy
View CertificateBest Way to Learn German Language: Full Beginner (A1.1)
I started my journey learning front end development during my high school. Following my passion, I graduated with Bachelors in Computer Science learning Java, C, C++ programming languages. I worked as software developer for a year worked with APEX5, SQL and Java Spring Framework. I was awarded twice for my outstanding performance. With the desire to advance in my field, I move to Germany for my Masters in Artificial Intelligence. I worked as Data Science Trainee for 3.5 years then as Associate Data Science Consultant now IT Development Manager. I have rated myself in following skills on scale of 10.
R
Python
CSS
HTML
SQL
Databases
Java
JavaScript
Machine Learning
Deep Learning
Scala
Matlab
Data Science
Cloud Services
Big Data
NLP
Visual Basic
Agile Technology
0
Year's
Work Experience
0
Open source
Contributions
0
Certificates
0
Conferences and
Summer Schools
Front End Intern
Programming with HTML5, CSS3 and JavaScript. Awarded certificate of Excellence
Android App Developer
First aid application for
life threatening diseases
Graduated,
Bachelors in Computer Science and Engineering
Amity University
Started job
Software Developer
Programming with Java, SQL
Awarded twice for
my outstanding performance
Moved to Germany for my masters
Graduated
Masters
Artificial Intelligence
University of Bonn
Data Scientist
As a working student from Dec 2018 - Mar 2022, I developed fraud detection models, data enrichment, neural network for classification, D3 JavaScript, Agile technologies, Visualization tools
Programming in both Python and R.
Associate Data Science Consultant
Worked on Azure cloud services
Data ware housing, SQL
prototype customer application.
typesetting industry
Solutions Specialist
Took a leap of faith
and a huge responsibility
in a new firm
During my participation in the SMBQ 2020 which is a two day online summer school where they have multiple workshops on Data Mining, Deep learning, Big Data, Cloud Computing, Quantum Computing etc.
September 2020
I attended this three day short course and workshop provides an in-depth presentation of programming tools and techniques for various computer vision and deep learning problems encountered in autonomous
systems. Special attention will be paid to drones in infrastructure inspection, which is one of the main application areas of drone technologies.
August 2020
I have attended five days of summer school, where there is an introduction to the fundamentals of AI as well as more advanced concepts. The summer school includes lectures, tutorials, hands-on sessions,
panel discussions, industry talks, poster sessions, online social events, and many other exciting programmes.
August 2020
LXMLS 2020 covered lectures on linear learners, neural network, NLP, sequence models, Learning structured predictors, reinforcement learning with different networking session and labs.
July 2020
Regularization Methods for Machine Learning is a 20 hours advanced machine learning course including theory classes and practical laboratory sessions. It happened on June 29 - July 3. The course covers
foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set techniques, namely regularization methods.
June 2020
I have attended Artificial Intelligence - Deep Learning to Data Analytics Summer School 2019 at Udine, Italy. Also, I have presented a poster on ANN during summer school.
June 2019
Udine, Italy
I have attended NLP workshop offered by Catalysts where subtopics like preprocessing of texts via stop words, lemmatisation/stemming etc. we’re taught.
May 2019
Cologne, Germany
I have attended the conference in Toulouse France. It gave me an opportunity to network with people from my background and an opportunity to discuss very good research papers with other researchers.
December 2018
Toulouse, France
have attended 2nd ACM Europe Summer School on Data Science in Athens, Greece. I have been taught Weak supervision for data extraction, data cleaning, and machine learning, The Power of Visual Analytics:
Unlocking the Value of Big Data, Crowd Data Sourcing, Time Series Understanding, and data quality, Learning from our movements – Mobility data analytics, Ethics of Data Driven Innovation
July 2018
Athens, Greece
I have attend the introductory course on machine learning with R online.
July 2020
In the digital era, on average a user receives hundreds of mail per day of which many of them are irrelevant mails. There is lot of work going on in the field on classifiers but there is no definite algorithm or method available for email classification. This paper researches an approach to classify such mails so that user response time can be decreased with increase in efficiency using supervised learning techniques. We have experimented on the efficiency of prominent Naïve Bayes, Maximum Entropy and Support vector machine techniques by creating own dataset. The highest efficiency technique is used for developing the system. The well-known application of email classifiers are spam filters.
Published In - Issue 18 Volume 1
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Best Way to Learn German Language: Full Beginner (A1.1)
AI Trading: Bitcoin, Stocks & Investing with ChatGPT & LLMs.
Financial Analysis: Build a ChatGPT Pairs Trading Bot.
Learned to create docker images, kubernets and deployment in production setup.
Learned to develop rest api, jwt token, database connection with Flask framework.
Learned to develop full scale application like blogging, social media sites with Django framework.
I learned about the fundamentals of Microsoft Azure.
The course consists of learning how to do testing in Python with pytest library.
The course consists of learning about SQL and connecting it through Web app in Node JS.
The course consists of learning about GANs and their applications, explore and implement multiple GAN architectures, build conditional GANs
The course consists of perform sentiment analysis of tweets using logistic regression and then naïve Bayes, use vector space models to discover relationships between words and use PCA to reduce the dimensionality of the vector space and visualize those relationships and write a simple English to French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbor search.
The course consists implementation of multiple javaScript projects and some of the famous frameworks. It starts withs basics like objects, functions uptill bonus of nodejs.
The course consists of introduction to google cloud and discussion about its core infrastructure like how to create virtual machines, servers, deploy our application.
The course consists of introduction to neural networks followed by development of complex convolutional network. I completed this with Honors.
Designing Recurrent neural networks and natural language processing with word embedding and lastly sequence models.
For this certification, I have to learn German, attend global awareness lectures and multiple summer schools in other university.
The projects are programming assignments that need to be done in Matlab every week. The projects are on: Anomaly Detection and Recommender System, Linear Regression, Logistic Regresssion, Neural Network, PCA and K-means, Support Vector Machine.
I have learned about convolutional, deep convolutional and A3C and also worked on self driving car, doom and breakout projects using gym ai libraries.
I have learned about ANN, CNN, RNN, SOM, RBM and Autoencoders.I have worked on various dataset including the famous Movie lens dataset. All the projects can be checked on my github page.
I learned about Scala language from the drawing board. Also, I have implemented recommendation system project trained for movie rating dataset during the course which is available on my github.
I learned about the various concepts of natural language processing like tokenization, word2vec etc. Also, I have implemented chat bot project during the course which is available on my github.
I have learned about the various strategies that one can follow to get more followers on instagram and How to earn money from instagram.
During the course I have implemented lists, data frames, matrices. I have learned very famous method like apply( ), lapply( ), sapply( ) and writing own functions.
Implemenatation of many models like Kernel SVM, Random Forest, Decision Tree etc regression and classification models. Natural Language Processing (Sentiment Analysis) and Deep Learning (Cat and Dog Classification) problems.
I have undergone R Programming A-Z™: R For Data Science With Real Exercise course offered by Udemy in which I have processed various dataset and visualized them using graphs.
I have undergone Python Bootcamp: Zero to Hero course offered by Udemy in which I have made 2 projects. First one is Black Jack Game and other one is Black Jack Game.
I have done intercultural training offered by University of Bonn where I was taught how to cope through various problems that you face when going to other country.
I have opted for military training during my academics. During which I to go to Amity University, Gurgoan Campus there we have to accomplish different drills like rock climbing, para sailing etc.
I have worked as a trainee for a NGO where my duty is to teach any subject to poor childrens.
I pursued Winter Training at i3indya technologies on Ethical Hacking and Cyber Security where i have learnt how to overcome viruses and bugs in the system. I also learnt about cryptography and its methods.
This course is offered by Aptech, Bharatpur in which I participated and completed successfully. There i have been taught basics of java programming. During the course i have 6 hours of lab session which helped me to enhance my skills.
I have undergone Search Engine Optimization where i have learnt how to increase the rating of any website on google seach engine.
Altogether with SEO training, I have also undergone Data Processing where i have learnt how to process data and activities like data mining.
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