| Full Name | Ajinkya Nitin Pathak |
|---|---|
| http://www.linkedin.com/in/ajinkyanpathak | |
| Website | https://ajinkz.github.io/ |
Being enthusiastic learner, interested in exploring new tech skills in Artificial Intelligence, working as a Software Engineer with PG Diploma in Big Data Analytics with 'A' grade from CDAC and almost 2 years of experience using Python, computer vision, machine learning, natural language process, end-to-end deployment.
| Title | Music Time plugin for Sublime Text |
|---|---|
| Technology | Python, Sublime API |
| Description | Music Time is a plugin that discovers the most productive music to listen to as you code. It will recommend the songs using AI, and will provide control of Spotify player to the developer through the editor only. |
| Contribution: | Collecting keystrokes events, building UI for interacting with spotify API. |
| Link | https://github.com/swdotcom/swdc-sublime-music-time |
| Title | House Price Prediction Dashboard |
|---|---|
| Technology | Python, Dash, Plotly, Heroku |
| Description | Considering various features of house sale data, we build a predictive model using Gradient boosted regressor, which can estimate price of house. |
| Contribution: | Data Pre-processing, building model, creating web UI where users can provide input and considering them price will be predicted. |
| Link | https://hpp-dash.herokuapp.com/ |
| Title | FAQ Chatbot |
|---|---|
| Technology | Python, Rasa Core , NLU, MongoDB, HTML |
| A chatbot that will handle FAQs. We used Rasa core and Rasa NLU which are open source python libraries for creating conversational software that helps in making machine-learning based dialogue management and natural language understanding systems. | |
| Contribution | Sample data collection, creating intents, utterance, handling fallback,training data using tensorflow embedding. |
| Link | https://www.youtube.com/watch?v=q901KMhQrsA |
| Title | Face Recognition system |
|---|---|
| Technology | Python, OpenCV, Tensorflow, Tkinter |
| Description | Facenet is mostly deployed with MTCNN (for face detection and alignment) which is computationally expensive, so instead we prefer to use Haar Cascade for face detection which saves a lot of excessive computation and avoids incorrect recognition of distant persons. Instead of looping through user data, creating embedding every time, we had serialized them which has reduced the recognition time significantly. |
| Contribution: | Data collection, deployment of the model for the office attendance system. |
| Link | https://www.youtube.com/watch?v=Eqp73OhVa94 , https://sway.office.com/eDQI1VFHNFZ34TEU |
| Title | Product Prices Prediction System(PG-DBDA) |
|---|---|
| Technology | Apache Hadoop, R programming, H2O, Tableau, Machine Learning |
| Description | Product pricing gets even harder to scale considering just how many products are sold online. To tackle this problem, doing EDA on transactional data, using ML techniques, taking price as a response variable, we predict the prices of various items across item categories considering other factors too. Helps sellers to scale right product prices. |
| Contribution | Data cleaning and normalisation, EDA using R, implementing ensemble model using H2O, visualizing the results |
| Organisation/Institute | Position held | From | To | Experience |
|---|---|---|---|---|
| Infogen Labs Pvt. Ltd* | Software Engineer | October, 2018 | June, 2020 | 1 year 9 months |
| Vuclip India Pvt. Ltd. | Data Analyst Intern | 10 July, 2018 | 9 October, 2018 | 3 months |
| SGGS IET | Intern | 22nd June, 2015 | 10th July, 2015 | 3 weeks |
| Qualification | Institute | Percentage(%) | Year of Passing |
|---|---|---|---|
| Post Graduate Diploma in Big Data Analytics | Know-IT, CDAC, Pune | 72.88 | 2018 |
| Bachelor of Engineering (IT) | SSBT's COET, Jalgaon | 62.90 | 2017 |
| Skill | Details |
|---|---|
| Programming | Python, R |
| OS | Windows, Linux(Ubuntu, Centos ) |
| Database | Knowledge of SQL along with joins, subqueries, views,NoSQL database like MongoDB |
| Search engine | Elasticsearch |
| Data Analytics | EDA using R & Python (Pandas,Numpy,etc) |
| Data Visualization | Tableau, Power BI, Python(Matplotlib,seaborn,plotly,dash), ggplot,Building dashboard using Dash & plotly |
| Machine Learning | Worked with various ML algorithm, prediction based projects, also performed ensemble modelling using H20 AutoML to improve results |
| Deep learning | CNN, LSTM, facenet |
| NLP | Building chatbot using Dialogflow, Rasa NLU, chatterbot |
| Web Development | Flask, Dash, Django, Streamlit |
| Cloud Computing | Basic services & deployment of models on AWS |
| Project methodology | Agile, Kanban |
| Version control | Github, Bit bucket |
| Tools/IDE | Jupyter lab/notebook, VS code, Sublime, Postman |
- MongoDB for Py dev, Mongodb Uni.
- Python programming track, Datacamp
- Elasticsearch, Pluralsight
- Building Chatbots in Python, Datacamp
- Big Data challenge (mva.microsoft.com)
- Data Science Orientation, Microsoft & Edx
- Statistics 101 (IBM Cognitive class)
- Machine learning Masters, Ineuron.ai
- Life Skills training, GTT & NASSCOM,
- CVPR training, SGGS IET, Nanded
- Linux Administration, Zoom Technology
- S&T Dept., Bhusawal, Central Railway
| Field | Value |
|---|---|
| Nationality | Indian |
| Date of Birth | 28th November, 1993 |
| Languages known | English, Marathi, Hindi |
| Current Address | Sno.1/3A/2A, Ekta colony, near PMC School, Warje bridge, Warje, Pune 411058 |
| Permanent Address | Nirmala Smruti, Plot no. 12, Ashok nagar,Datta temple, old MIDC, Jalgaon (MS) 425001 |
Simple code for scraping website for fake profile data generation
The project was a quick implementation of chatbot using the tensforflow embeddings. Though the language mentioned in config file is English but words are in Marathi langauge but written in English.
A simple python code using in Face Recognition to capture photo using webcam, crop to image centered to face detected
Building REST API using Django-REST framework
Steps for installation of Elastic stack on windows machine
CRUD operations using Elasticsearch restful APIs
Search request APIs to search required data from indices of Elasticsearch
List of useful components of streamlit framework with code snippets
Step by step guide to install spark cluster on windows machine