BELIEF
Time is so precious, can't waste it doing meaningless things.
I believe in creating a world, where creativity and imagination replace repetitive work.
Artificial Intelligence to me seems the most effective type of automation
i.e. to replace repetitive cognitive tasks in an attempt to heighten human intellectual capability.
ABOUT WORK
Currently working as a Data Scientist, I am working on problems like OCR, NMT, and Document Structure
Segmentation. My current work profile is to research the problems,
implement various research papers and execute our own ideas to optimize the solutions.
I have previously worked on signal processing, several Computer Vision problems like object detection and
classification, worked on
Time Series Forecasting for sale forecasting and created Dashboarding Systems.
I completed my graduation in 2021 with major a in Electronics and Communication. In college, I created a lot
of DIY electronic projects like LFRs, automated BMI machines, flushing systems, Drone and all kinds of
things I could think of.
I mainly used Arduino or ESP32, I also tried my hands on MSP430, Raspberry Pi, 8081, and atmega2560.
ABOUT ME
- I like to read books(non-fiction), some of my favorites are ‘Sapien” by Yuval Noah Harari, “Mastery” by
Robert Greene, and “The Alchemist”.
- I like to write. Find my articles on medium if you can.
- I try to optimize over efficiency and lately effectivity
- I am obsessed with music, lately listening to Droeloe, Kygo, Linkin park, and 200 more XD:
- I also strongly believe that if an idea has conviction, it is meant to be implemented
I AM CURIOUS ABOUT
- AI
- Softwares
- Airplanes and rockets
- Astronomy
- Aliens
- Robotics
- How to run a Business
- Psychology and how our brain work
Flask, HTML, CSS, JavaSript
Scikit Learn, Numpy, Pandas, Matplotlib, Seaborn, Tensorflow, Pytorch
FeedForward Networks, Convolution Networks, Transformers, LSTMs
Circuit Design, Atmega2560, Arduino
Python, C, Data Structure, Algorithms
Amazon EC2, AWS Lambda, Amazon S3
Linux, Docker, Git
Flask, HTML, CSS, JavaSript
Scikit Learn, Numpy, Pandas, Matplotlib, Seaborn, Tensorflow, Pytorch
FeedForward Networks, Convolution Networks, Transformers, LSTMs
Circuit Design, Atmega2560, Arduino
Python, C, Data Structure, Algorithms
Amazon EC2, AWS Lambda, Amazon S3
Linux, Docker, Git
Flask, HTML, CSS, JavaSript
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• Developing a new Multilingual Transformer based model to further improve translations • Trained NMT models to converge to provide a bleu score of above 35 • Research and Development on OCR solutions for multiple languages • Research and Development on Document Structure Segmentation Problem • Led the development of EZ-Flip producing 100% successful conversions
• Deployed an end-to-end solution for Sales Forecasting and Inventory Logistics • Created Interactive Dashboard • Designed, Regression Models and Time Series Forecasting Models • Business and Retail Analytics • Data Pipelining and Data Warehousing
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A question that all the Data Science learners have is, why is there a need to normalize data.
What happens when things don’t work out as planned…
Aim is to code logistic regression for binary classification from scratch, using the raw mathematical knowledge and concept that we have.