Represented India in Google Hackathon finals | Directed the team on patented project – LoadAB | Engineered the entire admin side @ Ovonts to grow it as the largest media management firm in Kolkata | Received media appreciations for constructing and launching surakshacovid19.tech, a COVID19 dashboard | Worked in a consultancy start up named Dataly and serving as its Head AI/Web Developer.
An award-winning Software Development Expert specialized in developing and building highly complex software applictions with hands-on expertise in ML algorithms, DS, Business Analytics, and Full Stack engineering to deliver best-in-class technical solutions and drive business growth initiatives. A highly competent team leader capable of functioning efficiently in a fast-paced, deadline-driven and dynamic work environment;
Highly recognized and interviewed by top news channels including Zee News for successfully constructing and launching surakshacovid19.tech | Secured top position in finals of Google Hackathon | Functioned as beta-Microsoft Student Partner | Currently leveraging technical expertise on a patented project | Received a funded project from UP Police Dept | Serving as a Technical Lead @ Microsoft Student Partners SRM and Machine Learning Associate @ Next Tech Lab
MEAN Stack, MERN Stack, Python & Flask
Python, R, Tableau, Power BI, SAS
Tensorflow, Keras, Pytorch, Image Processing, Natural Language Processing
Etherium, Multichain, Azure Blockchain, Bitcoin
Graduate Engineering Trainee at Barclays starting from June 21.
Assembled production level solutions for the platform which served as a means to connect hyperlocal communities together; formed 10k active user base for the platform. Built highly-reliable and scalable products in full-stack; leveraged full advantage of its features and flexibility.
Designed complex and diverse projects including full scale apps and websites and provisions Analytics and AI solutions to companies. Participated in the execution of all development stages from concept, to deployment, to live website.
Performed scraping of relevant data regarding blockchain based games and helped them take data driven decisions. Created and maintained reliable, scalable, and high-performance systems and tools to enable best gameplay experiences.
Conducted extensive research on some of the critical issues in building high performance blockchain platforms. Worked closely with the team to research, develop and test blockchain applications to enable efficient distributed system management solution.
Led research in the advanced areas of artificial intelligence, data mining, machine learning, and deep learning. Experimented with machine learning algorithms to solve critical business problems and identify risk, fraud or natural language processing.
Designed and developed robust and efficient machine-learning and deep-learning algorithms. Implemented machine learning methods drawn from diverse areas such as neural networks, deep learning, NLP and approximate inference.
Identified and collated datasets while creating and applying advanced data analytics models using statistical and machine learning techniques. Assisted and directed the team in day-to-day jobs and projects.
Utilized big data analytics tools and applied analytical techniques for data retrieval, preparation, and discovery. Worked with massive datasets to develop both generic models as well as fine tune models.
Taking the five courses is very instructive. The content is well structured and good to follow for everyone with at least a bit of an understanding on matrix algebra. Some experience in writing Python code is a requirement. The programming assignments are well designed in general. Apart of their instructive character, it’s mostly enjoyable to work on them, too. Finally, in my opinion, doing this specialization is a fantastic way to get you started on the various topics in Deep Learning. After taking the courses, you should know in which field of Deep Learning you wanna specialize further on
Data Structure And Algorithmic Puzzles” is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists
365 Data Science is a self-paced, online Data Science bootcamp. The flexible course schedule means there is no set time limit in which to complete the program by. The bootcamp is divided into four modules that cover data science fundamentals, programming, data science concepts, and specializations.
I love her way of presenting and I love the humor that is hidden in many of her videos and takeaways. It just makes it fun! There is a lot of creative videos inside. Angela has a really good way of teaching each lesson clearly. I love her teaching style, she adds just enough of humor to make it fun.
This course is a complete package that helps you learn Data Structures and Algorithms from basic to an advanced level. The course curriculum has been divided into 10 weeks where you can practice questions & attempt the assessment tests according to your own pace. The course offers you a wealth of programming challenges that will help you to prepare for interviews with top-notch companies like Microsoft, Amazon, Adobe etc.