Dr. Ashutosh Kumar | Data Scientist

Hi, I'm Dr. Ashutosh Kumar.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

Passionate and accomplished PhD in Computer Science & Engineering with expertise in Generative AI, Deep Learning, Machine Learning, and Natural Language Processing. Driven by a love for problem-solving and innovation, I am dedicated to creating impactful solutions that address real-world challenges and improve the lives of millions. With a strong research background and a commitment to excellence, I aim to push the boundaries of technology and drive meaningful change. Let's collaborate to turn ideas into groundbreaking realities.

Generative AI Tools: Langchain, Lamaindex & Retrival Aggumented Generation
Machine Learning & AI Frameworks: Scikit-learn & Keras
Programming Languages: Python, R, C, C++
Vector Databases: PgVector (PostgreSQL), Pinecone, CromaDB, Faiss
Databases: MySQL, PostgreSQL, MongoDB
Data Science Libraries: NumPy, Pandas
Web Development Frameworks: Flask, Django
API Development: REST API, FastAPI
Data Processing Tools: Apache Beam
DevOps & Cloud Tools: GitHub, Bitbucket, GitLab, JIRA
Cloud Platforms: AWS, Azure, GCP

Looking for an opportunity to work in a challenging position combining my skills in Data scientist, which provides professional development, interesting experiences and personal growth.

Experience

Cognizant

Data Scientist

Developed and managed the backend of an e-commerce platform using Flask, MongoDB, and AWS.
Worked on three web applications targeting customers, selling vendors, and admin users; built 50+ RESTful APIs with functionalities such as login/sign up, view a product, add a product to cart, checkout the order, etc.
Improved the response time by 20% by refactoring the codebase and changing database design and queries.
Added a bulk upload feature which reduced the manual work of adding products into a database.
Tools: Python, Flask, MongoDB

September 2023 - Currently Working | Noida (U.P.), India

Projects

                
Music Player Web-App
                  A music streaming web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, AWS S3, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Search and filter songs based on language and singer.
Create multiple playlists and add/remove songs to/from playlist.
Scroll through recently played/viewed songs.

Quiz Web-App
                  A quiz playing web app based on Django
                
AccomplishmentsTools: Django, HTML, CSS, Bootstrap, SQLite, Heroku
Register/login to the web app(with OAuth-based Google Sign-In).
Play Quiz and see the leaderboard

Blog Web-App
                  A simple and extensible blog web-app based on Flask.
                
AccomplishmentsTools: HTML, CSS, Bootstrap, Flask, SQLAlchemy, Postgresql, Python
Users can view posts and contact the admin via Contact Page.
Admin can Add, Delete, Update posts.

Visual Question Answering
                  An attention-based classification model that aims at generating an answer for a given input image.
                
AccomplishmentsIncorporated Convolution Neural Networks (CNN) for extracting image features and Long Short Term
                    Memory for extracting question
                    embeddings.
Tested the model on the COCO dataset, abstract scenes images, and got 69% overall accuracy on the
                    VQA evaluation metric.

Video Summarizer
                  A Seq2Seq model that generates a short summary of the given input video.
                
AccomplishmentsIncorporated CNN to detect and classify objects in the video frames and Long Short Term Memory for
                    generating a summary.
Evaluated the model on MSVD (Microsoft Video Description Corpus) dataset; achieved 0.77, 0.71,
                    0.52 scores respectively on ROGUE,
                    BLEU, METEOR evaluation metrics.

Image Generator
                  An image generator based on the concept of adversarial networks (GANs)
                
AccomplishmentsDeveloped system was tested on a human-face database and loss was calculated by comparing the PCAs
                    of generated and original image.
Calculated difference in PCA was less than 10%, depicting the successful generation of an image by
                    the generator.

Head Counting System
                  A system that calculates the attendance of the class from a panoramic image of a live classroom.
                
AccomplishmentsUsed Singular Value Decomposition for image compression; applied various image processing
                    techniques and morphological operations to
                    detect the number of heads.

Skills

Languages and Databases

Python

HTML5

CSS3

MySQL

PostgreSQL

Shell Scripting

Libraries

NumPy

Pandas

OpenCV

scikit-learn

matplotlib

Frameworks

Django

Flask

Bootstrap

Keras

TensorFlow

PyTorch

Other

Git

AWS

Heroku

Education

                  National Institute of Technology Raipur, Raipur, Chhattisgarh, India
                
Raipur, Chhattisgarh, India

                  Degree: Doctorate Of Philosophy in Computer Science and Engineering
                  
From: 2018 to 2023
                  Status: Completed
                  
                    Relevant Courseworks:
                  
Machine Learning
Deep Learning
Big Data
Natural Language Processing

                  Central University of Rahasthan
                
Rajasthan, India

                  Degree: Master of Science in Computer Science and Engineering
                  
                  CGPA: 7.56/10
                
                    Relevant Courseworks:
                  
Distributed Database Systems
Cloud Computing
Foundations of Algorithms

                  Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal
                
Bhopal, Madhya Pradesh, India

                  Degree: Bachelor of Technology in Computer Science and Engineering
                  
From: 2015 to 2017
                  Status: Completed
                
                    Relevant Courseworks:
                  
Data Structures and Algorithms
Database Management Systems
Operating Systems
Machine Learning
Computer Vision