Kaustubh Pathak

Etawah, UP
lintr.ee/kaus98
kaus.pathak@gmail.com
GitHub | LinkedIn | Kaggle | (914) 904 2316

Data Scientist with 3+ years of experience executing data-driven Solutions to increase efficiency, accuracy and, utility of internal Data Processing. Experienced at creating deep learning models, using predictive models and Forecasting and Data mining algorithms to deliver insights and implement action-oriented solutions to real world Problems.Involved in Python open-source community and passionate about Natural Language Processing. I also enjoy developing with back-end technologies such as Python/Flask, Python/Django, MySQL/PostgreSQL, and Mongo / Mongoose; as well as front-end technologies such as Javascript , SocketIO , AJAX , and JQuery. I have extensive experience in Operations, both as a Working in a Team , and as an individual Developer.

PROJECTS

COVID-19 INDIA : VISUALIZATIONS, PREDICTIONS & FORECASTING

Visualized (Matplotlib, Plotly & Folium) and Explored Epidemic Models (SIR, SIRD, SEIRD & SEIHRD Model) & Time Series Model (SARIMAX, ARIMA , Prophet, Theta Model, Holts Exponential Model) over COVID Cases in India.
GitHub

MULTITASK LEARNING : BTP PROJECT

Worked under Prof. Mahua Bhattacharya and Dr. Anuraj Singh to create MultiT, a Library that trains Deep Learning Model with Multiple Dataset using Multitask Learning Concepts. Developed Over PyTorch and Embedded with Multiple Predefined Architectures.

Movie Recommendation System : BTP PROJECT

Use Various Recommendation Technologies to Suggest New Movies to User According to user past Viewing History . Use Recommendation based on Content,Similarity ,Collabrative Filtering , Surpise Library Based, Embedding Based, RNN Based.
Website

SONG LYRICS GENERATOR : NLP PROJECT

• Generating Lyrics using Deep Learning via LSTMs, Seq2Seq, Transformers and Bert Model. Implemented Char-RNN using Pytorch.
• Lyrics Scraper from AZLyrics using Asyncio Programming, Proxy Pooling and Header pooling bypassing Server Securities.
  GitHub

EXPERIENCE/INTERNSHIPS

Dolhinchat (Feb 2021 - Apr 2021)

NLP Engineer & Chatbot Developer Intern

• Working in a team as an NLP Architect Chatbot expert building a chatbot assistants for Multiple Domain.
• Deploying and Integrating chatbots with management dashboards, CRMs and Other Social Platforms.
• Developing and Hosting Chatbot Middleware Decreasing Rasa Model size decreasing Overall Hosting Size.

Vaidik Technologies Private Limited. (Sep 2019 - Oct 2019)

Developer Intern

• Developer - Worked on NLP Models and interfaces that can Chat with New Readers and Refer them to the Most Significant Article.
• Full-stack developer - Responsibility of Companies leading Blog Site using Django & FireBase, Including Deployment

Shaastra Automations (Aug 2018-Nov 2018)

Web Developer Intern

During this time, I acted as Full Stack Developer, and I designed Dynamic websites with various menus and multiple pages, including the Company’s main website.

EDUCATION

Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Gwalior (2017 - 2022)

M.Tech (Dual Degree) in Information Technology; Maintaing 7.7 GPA.

ST. Mary College, Etawah(May, 2016)

Intermediate In PCM with Computer; Cum. GPA: 8.8 / 10.0

Interests

Code to Automate and Contribute to Open Source. Music🎼 and Coffee☕

Positions Of Responsibility

• Maintained Developer Position in E-Cell since 2018
• Graphic Designer in Gwalior cultural festival called Aurora which is yearly festival Organized by ABV-IIITM Gwalior. Designed posters for various events ,Facebook posts for publicity, T-Shirt designing by vector art.

Certifications

• NLP With Deep Learning (Stanford Online)
• Deep Learning Nanodegree Program (Udacity)
• Introduction To Deep Learning (Udemy)
• Complete A-Z Of Machine Learning(Udemy)
• Introduction To Machine Learning By Andrew Ng (Coursera)
• OpenCV With Python For Image And Video Analysis (Linkedin)
• Automate The Boring Stuff With Python (Al Sweigart)
• Full Stack Web Developer Bootcamp (Udemy)