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ashishkrb7

I am Lead Research Engineer at Siemens Technology, doing research and working on Data Science (Computer vision(CV) and Natural Language Processing (NLP)). Previously I worked as Data Scientist at CSS Corp(which is now movate). There I handled and developed various NLP and CV projects and softwares in Customer Support domain. I started reading Computer Science books during my B.Tech. as hobby and I liked its well structured knowledge. Now, I am working full time in computer science field for last 4+ years. I have knowledge on Programming, Data Analytics, Python Full Stacks, Statistics, Artificial Intelligence, Machine Learning, Deep Learning and Geographic Information System.

Water Resource Engineering is my major with interest in Hydrology(Surface and Groundwater), Uncertainty Analysis and Artificial Inteligence.

About me

🔍 Proven Researcher and Data Science expert with over 4 years of hands-on experience in Statistical Modeling, Natural Language Processing, and Computer Vision. Additionally, boasting 5+ years of Python development expertise for digital applications. Passionate about diving into complex challenges and harnessing cutting-edge technology to craft predictive analytics algorithms, mathematical models, and perform hypothesis testing. Adept at utilizing a diverse toolkit to translate data into compelling narratives. Known for cultivating, expanding, and refining product portfolios that drive impact.

🚀 Key Strengths:

📚 Relentless Learner: Driven by intellectual curiosity, committed to lifelong learning.

⛅ Steadfast Composure: Thrives in adversity, maintaining a composed demeanor.

🎯 Decision Excellence: Prioritizes high-quality, data-driven decision-making.

💡 Rapid Assimilation: Quick to master new technologies, continuously enhancing skill set.

🔍 Professional Skill Set:

Data Analytics 📊 | Statistical Analysis 📈 | Simulation, Modeling & Optimization 🛠️ | Artificial Intelligence 🤖 | Machine Learning 🧠 | Deep Learning 🌐 | Geographic Information System (GIS) 🗺️ | Hydrological Modeling 🌊 | Natural Language Processing 🗣️ | Computer Vision 👁️ | Python 🐍 | R 📊 | MATLAB 🔬 | C 🖥️ | Cloud: AWS ☁️ & Azure ☁️ | Power BI 💡 | DOMO 📊 | Excel 📑 | PowerPoint 📰 | MS Word 📝 | SQL 🪛 | Git 🔄 | SCRUM 🏉 | DevOps ⚙️ | MLOps ⚙️ | SRE ⚙️ | Web Development 🌐 | Generative AI 🧠🎨

🌐 Domain Expertise:

Enterprise Software 🏢 | Geographic Information System (GIS) 🗺️ | Small Business Software 👨‍💼👩‍💼 | Water Resources Engineering 🌊💼 | Industrial Automation 🏭🤖

📣 Let's Connect! Open to engaging discussions on emerging technologies, leadership, and entrepreneurship. Reach out for illuminating conversations.

🔗 LinkedIn: https://www.linkedin.com/in/ashishkrb7

📧 Email: [email protected]

📞 Phone: 8335818761

Cloud Computing

Google Cloud Platform Microsoft_Azure Amazon_AWS Heroku

I use following technology stack:

c python pytorch tensorflow scikit_learn opencv flask postman aws azure heroku nginx docker git sqlite mongodb

🚀 What are my featured projects(open source)?
APIs Projects Developed libraries List of publications
RNN chatbot Face mask detection MongodbDatabaseEngine A decision support system for the identification of critical zones in a watershed to implement land management practices
Sentiment analyzer Object-detection-model - -
Natural language classifier Face recognition for small retail shop - -
People also asked EngagementAI - -
Feature snippet - - -

To read paper online 👉🏻 click here

📫 How to connect with me:

Ashish's LinkdeIN Ashish's Facebook ashishkrb7 magnumashish

Ashish Kumar's Projects

ai-for-everyone icon ai-for-everyone

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone – especially your non-technical colleagues – to take.

chatbot icon chatbot

Chatbot utilises RNN encode-decoder model for chatting, textblob and vader model for sentiment analysis of query

chatgpt icon chatgpt

ChatGPT Prompt Engineering for Developer

delta icon delta

DELTA is a deep learning based natural language and speech processing platform.

dvc icon dvc

This repository contains the experiments that I have used while learning DVC-CML

engagementai icon engagementai

This project uses AWS Rekognition for the emotion detection. Based on the emotion detected, further analysis is made.

evaluating-and-debugging-generative-ai icon evaluating-and-debugging-generative-ai

Machine learning and AI projects require managing diverse data sources, vast data volumes, model and parameter development, and conducting numerous test and evaluation experiments. Overseeing and tracking these aspects of a program can quickly become an overwhelming task.

facial-recognition-camera-for-small-retail icon facial-recognition-camera-for-small-retail

There is a need for facial recognition cameras. Customer cameras are basic cameras and they want the ability for them to scan face automatically in a crowd of people (like restaurant and bar). So, the camera must scan faces in the crowd and recognize them in a database that they can then have access to and be able to add notes to.

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