About
Operationalizing machine learning and data science to achieve business value 🚀
Currently focused on developing and deploying scalable ML solutions with a strong emphasis on quality and engineering excellence, ensuring robust performance.
***Initial Career***
Accustomed to fast paced learning and prototyping environment.
Won 50+ Data Science & Product based Hackathons, solving complex problems under extreme time constraints across different domains a.k.a. Hackathons 🔮
***Skills***
Statistical tools & languages: Python (NumPy, Pandas, Scikit-learn, matplotlib, Tensorflow, Keras), SQL, Presto, Hive, PySpark
Data Science Techniques: Supervised (Regression, Classification, Decision Trees, Ensemble models), Feature Engineering, Semi-supervised and Unsupervised (PCA, Multidimensional Scaling, Clustering), A/B Testing, Hypothesis testing, Deep Learning (CNN, RNN, LSTM, GRU), Natural Language Processing (Word Embeddings, Transformer Arch, Frequency based models), Computer Vision (usage of pre-trained models), OOP, ETL, Data Science Pipeline (cleaning, wrangling, visualization, modeling, interpretation)
Miscellaneous: APIs (FastAPI), Airflow, Streamlit, Docker, Azure, GCP, AWS, Git, Excel
Reach out at salil.gtm@gmail.com
Book Sessions via topmate.io/salilsee more
Experience
Tell us about your professional experience
Education
Where did you complete your basic education from?
Skills
Python
Data Science and AI
Machine Learning
Deep Learning
Analytical Skills
Business Analytics
Maths for Data Science
Programming in Data Science
Linkedin Profile Review
Job Interview Preparation
Predictive Analytics
Accomplishments
Certifications
PySpark Training
Issued : Mar 2020
Projects
gpt-3-streamlit-sandbox
Completion Date : Jun 2021
Setup to quickly check use case feasibility on OpenAI's GPT-3!
ISS-Info
Completion Date : Mar 2020
Python wrapper for tracking information about International Space Station via http://open-notify.org
GitHub Link - https://github.com/Quarantine-Projects/ISS_Info
Downloads - https://pepy.tech/project/ISS-Info
shorten_url
Completion Date : Mar 2020
Python Library to help you short and expand URLs using https://rel.ink/
GitHub Link - https://github.com/Quarantine-Projects/shorten_url
Downloads - https://pepy.tech/project/shorten-url
Auto Training Material Generator & Learning Platform for Differently Abled
Completion Date : Jun 2019
Information Extraction from ISDA Legal Documents
Completion Date : Mar 2019
ISDA Documents with 40 clauses and about 200 fields that are to be extracted per document using Machine Learning Techniques. 8 clauses which hold 29 essential fields were extracted for the scope of this project.
Gaia Stats - Blockstack Application
Completion Date : Dec 2018
Gaia Stats
Aim - To provide users with an interface to manage files store on Gaia storage.
Features -
1. Uploading Interface for Files
2. Downloading Interfaces for Files
3. Visualization on the basis of files formats and total disk size occupied by the files on Gaia
Tech Stack -
1. React
2. Blockstack.js
3. Gaia Storage
EBS Chain - Energy Backed Securitization using Blockchain
Completion Date : Oct 2018
SyndiShare
Completion Date : Sep 2018
AI+Blockchain-powered decentralized system to share analytics while keeping data private.
Wildlife Illegal trade Search Engine (WISE)
Completion Date : Sep 2018
D-Stress
Completion Date : Aug 2018
A portal for HR Managers to approve Mental Health Recovery Benefits for employees using the survey data which is used to predict whether he/she needs a treatment for mental stress.
Tech Stack :
1. Python
2. Node.js
3. Flask
Decaffeinator
Completion Date : Jun 2018
Reducing coffee consumption at office and generating caloric intake report using face recognition and object detection. Cameras are used for image gathering purpose. For prototype IPwebcam is used. A web interface for employees to see their report and calorific consumption over a period of time. Admin panel to track the most busy pantry hours for smart inventory management. Can be targeted to almost all office spaces with a pantry.
Predictive Decision Support System for Trade Amendments and Settlements
Completion Date : Jun 2018
Artificial Intelligence in Life Insurance Campaign Management
Completion Date : Mar 2018
Market Event Based Forex Trading
Completion Date : Mar 2018
SignDetect - Speech to Sign Langauge Video
Completion Date : Mar 2018
SmartTourister - Travel Itinerary Recommendation System
Completion Date : Mar 2018
EvnCoin - Battling Pollution || Bringing Profits
Completion Date : Nov 2017
Battling Pollution || Bringing Profits
Description
This Ethereum based blockchain project for EvnCoin was made with the motivation of reducing the amount of pollution in the air we breath, and combat pollution in a general sense. Today major metropolitan cities like Delhi face a situation where the air is extremely polluted, way beyond the "safe-levels" sanctioned by the UN.Many of the polluting plants and factories largely responsible for the degrading quality of air in their vicinity simply escape punishment due to the current non transparent system.
The Concept
We propose to build a new private blockchain which will consist of four types of participants:
Common Citizens
Data Companies
Government
Factories/ Manufacturing Plants
The blockchain will accomodate 3 levels of transactions
Level I : Between Common Citizens and Data Companies.
Level II: Between Data Companies and the Governments or other Companies seeking the data for commercial purposes.
Level III: Between Government and Defaulters.
PaperBlocks – Securing Paper Leaks using BlockChain.
Completion Date : Sep 2017
Personalized Emotion based In-flight Experience and Management
Completion Date : Sep 2017
Crop Insurance using BlockChain
Completion Date : Aug 2017
Languages
English
Hindi
About
Operationalizing machine learning and data science to achieve business value 🚀
Currently focused on developing and deploying scalable ML solutions with a strong emphasis on quality and engineering excellence, ensuring robust performance.
***Initial Career***
Accustomed to fast paced learning and prototyping environment.
Won 50+ Data Science & Product based Hackathons, solving complex problems under extreme time constraints across different domains a.k.a. Hackathons 🔮
***Skills***
Statistical tools & languages: Python (NumPy, Pandas, Scikit-learn, matplotlib, Tensorflow, Keras), SQL, Presto, Hive, PySpark
Data Science Techniques: Supervised (Regression, Classification, Decision Trees, Ensemble models), Feature Engineering, Semi-supervised and Unsupervised (PCA, Multidimensional Scaling, Clustering), A/B Testing, Hypothesis testing, Deep Learning (CNN, RNN, LSTM, GRU), Natural Language Processing (Word Embeddings, Transformer Arch, Frequency based models), Computer Vision (usage of pre-trained models), OOP, ETL, Data Science Pipeline (cleaning, wrangling, visualization, modeling, interpretation)
Miscellaneous: APIs (FastAPI), Airflow, Streamlit, Docker, Azure, GCP, AWS, Git, Excel
Reach out at salil.gtm@gmail.com
Book Sessions via topmate.io/salilsee more
Reviews