Hello World !

a bit about me:

Piyush is a full stack data analytics professional offering 6+ years of experience in descriptive & predictive Analytics. Worked in pivotal roles that required simplifying the business functions, revenue-stream, sales-forecasting, competitive analysis and risk management of Business .Skilled with ability to interact with personnel from different backgrounds and supported organizations in drafting and allocating resources necessary to attain their long and short terms goals and has been involved in various roles i.e. Senior data scientist, Team Leader, business intelligence, Data Analyst & Risk Manager.

I am an AI advocate and want to improve the way humans interact with technology. With an entrepreneurial mindset, I am constantly on the lookout for solutions to existent problems in our everyday life and look forward to creating something that helps to improve the lives of billions of people across the world. Specifically, I'm really interested in thinking about using AI in the real-world and studying various ethical dimensions of AI like learning with less data, bias in AI, adversarial robustness, model compression and explainability. Mentored 300+ AI Enthrusiats for their career, learnings and jobs.

I love to explore new places around the Globe and love to expend my spare time in partying 🥳 with friends.
I love writing and am extremely passionate about education. I believe in the concept of lifelong learning and I can occasionally be found blogging on Medium.

Articles

Specialties

My skills

Analytics: Machine Learning, Deep Learning, Natural Language Processing [ NLTK ], Computer Vision, Time Series Analysis
Market Basket Analysis, Anomaly detection, Recommendation System, Descriptive & Inferential Statistics, AutoML.

Analytics Tools: Python [ Spyder, PYCHARM, Jupyter ], MS-Excel, MATLAB

Databases (DBMS): MYSQL

NOSQL: MONGODB

BI Tools for Visualization: Tableau, Power BI,Plotly

Web-Scraping: Beautiful-Soup, Selenium

API & Cloud : FLASK, Sanic, Streamlit, Heroku, Bigbucket, AWS (Sagemaker,EC-2,S3), Heroku

Chatbots: Rasa-NLU

Big data Tools: Pyspark , Apache

Containerization: Dockers and Kubernetes

Highlights

Seminars on AI

NEWS

NEW! June 2021: Joined Accenture-Applied Intelligence as a Specialist Data Scientist.
April 2021: Became certified Data science and career Mentor at Expertrons which is Netflix for Career Hacks for conducting mock interviews and 1:1 consultation.
March 2021: Interviewed at ANT-WAK for my achievements and published on their platform. Started mentoring experienced industry professionals in the areas of Data Sciences, Machine Learning, Deep Learning for the APC-DS course offered by IISc Bangalore jointly with Talentsprint.
February 2021: Acheived a milestone of 20k subscriber at Linkedin platform.
January 2021: Posted articles on RIP KNN: Long live ANNs.
November 2020: Delivered 3 AI projects related to Health care on image and video back to back .
October 2020: Delivered 1st project at Accolite and posted article on Collaborative Learning
September 2020: Joined Accolite Softwares as a Consultant Data Scientist.
Invited as a Chief Guest speaker at Global Group of Institutions,West Bengal on topic 'How AI is changing the world!'.
August 2020: Mentoring 25 students for Data Science carrier and help them in projects.
July 2020: Posted articles regarding Machine Learning Life Cycle and published article on NGBOOST
June 2020: Machine Learning posts are in trending thrice in a week, contribute to datascience community by providing End to End guide of ML and DL and got featured by KRISH NAIK for AUTOML Libraries in Youtube.
May 2020: RIP Pandas articles published in Analytics-Vidya got highest viewed and got viral in the medium. Became author at "Analytics- Vidya" and "AI in plain English".
April 2020: Build a dynamic dashboard on Covid-19 for understanding the pandemic for firm.
March 2020: Completed Artificial Intelligence course by Great Learning.
February 2020: Completed post graduation in Data Science & Engineering from Great Leearning.
January 2020: Resolve the problem of OES for their visa process problem using data science.
November 2020: Join kaggle and open source data science community.
September 2019: Starting post graduation in Data Science and freelancing work.
June 2019: Left OPPO as Sales and Pricing Analyst after 2.5 years of service with lots of memories.
May 2019: Awarded as "Employee of the month continuously from last4 months"
February 2019: Awarded as "Employee of the Year 2018" for enhancing market cake size from 2cr to 5cr and selected for London Trip by OPPO Mobiles India Pvt Ltd.
October 2018: Awarded as "Employee of the month".
January 2018: First price winner at OPPO Sales Elite Camp 2017-18.
May 2017: Completed Engineering in Electrical and Electronics and 7th rank holder in the university.
April 2017: Submitted project of Multiple Bank Security Systems for detecting fraud analytics.
February 2017: Joined OPPO as Management Trainee.
October 2016: Serving as Campus Ambassador for IIT-Guwahati in 2016.
March 2015: Won 4th rank in Armegaddon at IIT-Roorkie.
August 2013: Joining accurate Institute of Mgt & Tech as a Bachelors of Technology student.
April 2011: Won 3rd price in Vanishing Bird analysis project organised at Zone level.

Things I love