Ankit Singh | Techie

Hi, I'm Ankit Singh.

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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

I am a Data Science and Artificial Intelligence Undergrad Student at IIIT Naya Raipur. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Django, Flask, MySQL, HTML5, CSS, Java, C++ during my bachelor's. I have some personal and open source projects which helped me strengthen my skills in Python, Flask, Data Analysis and Deep Learning. I am passionate about developing complex applications that solve real-world problems impacting millions of users.

Languages: Python, C, C++, HTML/CSS, Bash
Databases: MySQL, PostgreSQL
Libraries: NumPy, Pandas, OpenCV
Frameworks: Flask, Django, Keras, TensorFlow, PyTorch, Bootstrap
Tools & Technologies: Git, Docker, GCP, Heroku, Power Bi, Tableau

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

Projects

                
Data-App
                  A Data Analysis App for Automotive Industry
                
AccomplishmentsTools: Streamlit, Sk Learn, Plotly
Example dataset for this App is present in Github Repo as cleaned_dataset.csv
Enjoy getting insights on your data

Healthy.ai
                  An app which helps to discover the disease in the early stages and thus increases the chances of recovery.
                
AccomplishmentsTools: HTML, CSS, Javascript, Python, Flask, TensorFlow, Keras, Google Cloud
With our app The patient has only to enter a few parameters/personal information and get the diagnosis in seconds.

Chat Bot
                  A simple chat bot using Python, Tensorflow and Flask.
                
AccomplishmentsTools: HTML, Flask, Python
Not really Chat-GPT ...

Face Detector
                  An face detector based on the concept of principal component analysis (PCA)
                
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 face detection.

SLoB
                  Hospital Bed Slot Booking System.
                
AccomplishmentsUsed Php MyAdmin along with Flask for Backend.