Hello All, I am

Abhishek Manilal Gupta

I'm a passionate Full-Stack Web Developer and Data Science Enthusiast. I have experience in web applications with Flask, Node, and React.js and Data Science expertise in analyzing data, extracting knowledge, plotting, and designing classification and predictive models for various business problems using machine learning algorithms.



Skills


Languages


Web Development Skills


Data Sciences Skills


Tools & Platforms


Education

BE

Fr. Conceicao Rodrigues Institute of Technology (FCRIT), Navi Mumbai.

CGPI:  9.52 (85.81%)

HSC

Sanpada College of Commerce and Technology, Navi Mumbai.

Percentage:  88.08%

SSC

St. Lawrence High School, Navi Mumbai.

Percentage:  84%



Work Experience


Infinity Holdings
Part-time Software Developer

☆ Responsible for the complete back-end development of the website, which mainly includes creating and maintaining the database and developing APIs in Django which interacts with the database and external hardware components (fingerprint scanner and card reader).

Apr 2021 - Mar 2022 · 1 yr
Nlpbay
Software Developer Intern

☆ Building AI conversational chatbot using RASA framework and testing integration of 3rd party APIs, interaction with RDBMS, and deployment on social media platforms.
☆ Building a Recommendation system via data mining and integrating it into the chatbot. And lastly building a chatbot agent-handoff application end to end.

Sep 2020 - Jan 2021 · 4 mos

Dshatabdi Company

Software Developer Intern

☆ Responsible for building a scraping application that scrapes real-time stock data of over 6000+ enlisted companies in the Indian stock market in less than 6 minutes.
☆ For strategic analysis of option data, developed interactive payoff chart desktop application.

Jul 2020 - Oct 2020 · 4 mos


Projects


rover
Auto EDA for NLP Auto Preprocessing for NLP Python Library

Data-Purifier

A Python library for Automated Exploratory Data Analysis (EDA), Automated Data Cleaning, and Automated Data Preprocessing for Machine Learning and Natural Language Processing Applications in Python.
40,000+ Package Downloads via 'pip'
rover
Intent Classification Custom Dataset Entity Recognition

Codify

Codify enables the data scientists to perform all the tedious and time-consuming tasks such as EDA, data pre-processing, etc. By only conveying the logic of the task in natural language (English) and the system will automatically give out all the relevant python code snippets.
rover
Real-Time Image Classification Mobilenet Tensorflow JS
KNN Classification Web Application

Sign Language Translator

Sign Language Translator enables the hearing-impaired user to communicate efficiently in sign language, and the application will translate the same into text/speech. The user has to train the model, by recording the sign language gestures and then label the gesture. The user can then use the saved and recorded gestures while speaking to other people.
rover
Breast Cancer Heart Disease Chronic Kidney Disease
Disease Prediction Flask

Impulse LifeSaviour

Flask Based Web App with 5 Machine Learning models including the 10 most common Disease Prediction and Infected Coronavirus predictions with their respective symptoms as inputs. The other 3 models are Breast Cancer, Chronic kidney disease, and Heart disease predictions which require medical reports (pdf) or report data as input.

Mini-Projects



Achievements & Certifications


Secured 3rd Rank in Second Year IT for Academic Year 2019-20.
1st Rank in Third Year IT for Academic Year 2020-21.
Acquired 1st Place in Final Year Project Competition held in FCRIT for Codify: "Natural Language to Code Generator for Data Science Applications".
Acquired 2nd Place in Summer Project Competition FCRIT for Sign Language Translator.
Acquired 1st Place in IOE (Internet of Everything) Project Competition held in FCRIT for Smart Traffic Light System.
Golden Badge in Python, Java, Problem Solving, Statistics, and SQL on Hackerrank.

Deep Learning Specialization Course Certificate

Deep Learning Specialization Course Certificate from deeplearning

Deep Learning Specialization Course Certificate

Research Paper Publish in ICIRTE Conference which is in association with Elsevier



You can contact me via abhig0209@gmail.com