About
Machine Learning & Data Engineering
Personal Info:-
- Birthday: 2 Oct 1993
- Website: www.khiskikhopadi.com
- Phone: +91 9044899202
- Hometown: Kanpur, Uttar Pradesh
- Age: 27
- Degree: M.Tech Software Engineering
- Emailone: pawneshtapish@gmail.com
- Emailtwo: 2020mt93045@wilp.bits-pilani.ac.in
Skills
Python 100%
Machine Learning 90%
Deep Learning 75%
Flask(REST API) 90%
Data Engineering 100%
GitHub 100%
Cloud Computing (AWS/Azure) 85%
MySQL 75%
Power BI(Dash-Plotly) 80%
PySpark 95%
Resume
Summary
Pawnesh Tapish
Early stage start-up experienced data scientist with data engineering & back-end skills, and have a demonstrated history of using data science & data engineering in agriculture industry. Hands-on experience from data-set generation to servers deployment of ML/DL models with CI/CD and Git version controls.
- Bangalore, Karnataka, IN
- +91 9044899202
- pawnesh.tapish-ext@ab-inbev.com
Education
Master of Technology : Software Engineering
2020 - 2022
Birla Institure of Technology And Science, Pilani
Bachelor of Technology : Electrical Engineering
2011 - 2015
Uttar Pradesh Technical University, Lucknow
Achievements
- Received Facebook Secure And Private AI Scholarship | 2019
- Installed Industrial Automation Lab And Trained Students During Final Year | 2015
- Winner of Association of Indian Elementary and Technical Education - Delhi | 2015
Personal Projets
- Dog Breed Classifier (DL/Image Processing)
- Object Detection And Segmentation (DL/Image Process)
- MNIST under 8000 Parameter (DL)
- FaceNet Face Recognitation App (DL/Image Processing)
- Creating Customer Segments
- IMDB Sentiment Analysis
Professional Experience
GrayMatter Software Services, Bangalore
Data Engineer
August 2020 - Present
- Handling airport car park revenue management system by forecasting demand and created dynamic pricing optimization system.
- Also working as Data Engineer, created Azure ETL pipeline.
- Create all data visulization dashboard for tons of data.
- Reduced almost 90% of existing forecasting code by changing classical approach to machine learning approach.
- Created a data pipeline on Azure for Anheuser-Busch InBev, Data in TBs for more than 150+ countries.
- Azure DataBricks, DataFactory, AzureML, Azure Data Lake/Storage.
KrishuHub
Data Scientist
Oct 2017 - Mar 2020
- Forecasted Mandi Crop Price Throughout India (DS/ML/DL)
- Created Mandi Price Forecast Analysis Dashboard (Data Visualization)
- Designed Crop Recommendation System product from scratch (DS/ML)
- Created a product Satellite Crop Monitoring System and designed its architecture (DS/ML/S3/RDS)
- Plant Disease Detection Model (DL/Image Processing)
- Demand Forecast For Supply Chain (DS/ML)
- Creating And Managing Datasets (AWS S3, RDS, EC2)
Wobot Intelligence
Computer Vision Engineer (Freelancer)
June 2020 - August 2020
- Various Projects with AWS Rekognition
- Creating Large Scale Deep Learning Production Pipeline
- SPOC for CI/CD pipeline and security
Key Attribute
- Critical Thinking, Keep Learning
- Get Easily Familiar With Technology
- Leadership Quality, Learning Universe
- Bad in Cramming-up But Cogent