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https://github.com/vikrantdeshpande09876/vikrantdeshpande09876

Bonjour
https://github.com/vikrantdeshpande09876/vikrantdeshpande09876

Last synced: 3 days ago
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Bonjour

Host: GitHub
URL: https://github.com/vikrantdeshpande09876/vikrantdeshpande09876
Owner: vikrantdeshpande09876
License: mit
Created: 2022-02-13T02:41:10.000Z (almost 3 years ago)
Default Branch: main
Last Pushed: 2024-04-22T15:10:30.000Z (9 months ago)
Last Synced: 2024-11-08T07:47:19.794Z (about 2 months ago)
Size: 77.1 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        ![Typing SVG](https://readme-typing-svg.herokuapp.com/?color=ffffff&size=35&center=true&vCenter=true&width=1000&lines=Hello+stranger+👋;You+can+call+me+Vikrant+or+Vik!)



- 🌱 Always learning and growing as a [Data Scientist](https://github.com/vikrantdeshpande09876/Credit_Card_Fraud_Detection)^meme, and [Software Engineer](https://github.com/airavata-courses/scapsulators)^meme.

- 💬 Ask me about the world of data or astrophysics, and I promise something interesting.

- 👯 Reach out if you're looking to collaborate on Machine Learning side projects, or need a partner for Leetcode problem-solving.

- ✨ Insert random inspirational quote: "The sooner you start to code, the longer the program will take".

- ⚡ I'm not always fun at parties:

```python

programming_languages = [

                  🐍 Python: (Pandas, Numpy, Tensorflow, Scikit, Flask, PySpark, Airflow, BeautifulSoup, etc.),

                  📊 R (ggplot, Tidyverse, etc.),

                  🧮 SQL,

                  ☕ Java (SpringBoot),

                  🐧 Linux Bash Scripting,

                  ｡🇯‌🇸‌ Javascript

]

predictive_models = [LLMs, Prompt Engineering, NLP, Timeseries Forecasting, Classification, Regression, Clustering, Ensembling, Transformers, ...]

statistics_and_exploratory_analytics = [Hypothesis Testing, Power Analyses, Mixed Effect Modeling, Regression Analyses, A/B Testing, ANOVA, ...]

databases = [SQL Server, Postgres, MySQL, MongoDB, ...]

cloud_services = [Azure Machine Learning, Azure Functions, Azure Blob Storage, GCP Cloud Functions, Google Cloud Composer, Google Cloud Storage, AWS S3, RDS, Sagemaker, ...]

tools = [

                  🏷️ Git,

                  🐳 Docker,

                  ☸️ Kubernetes,

                  😊 HuggingFace.

                  🏗️ Tensorflow,

                  Tableau,

                  Heroku,

                  Kafka,

                  Airflow,

                  Informatica Workflows,

                  Jira,

                  Bitbucket,

                  Postman,

                  JMeter,

                  ...

]

cloud_certifications = [

                  Azure Certified Data Scientist,

                  AWS Cloud Certified Practitioner,

                  Deep Learning Specialization,

                  ...

]

```

![Typing SVG](https://readme-typing-svg.herokuapp.com/?color=ffffff&size=35&center=true&vCenter=true&width=1000&lines=My+Most+Notable+Architected+Projects+🔭:)

* A Microsoft Teams Chatbot with a highly scalable backend for **90+** DAU using `Azure OpenAI GPT4`, `HuggingFace gte4`, `intent-detection`, `advanced Retrieval Augmented Generation`, and `hybrid-search on a vector store` (internal company project).

* An [NLP-based package](https://github.com/hubmapconsortium/asctb-ct-label-mapper) to recommend cell-type annotations and help establish a controlled vocabulary in scRNA-seq datasets, using `HuggingFace sentence-transformer` models.

* A multiple timeseries MLOps system for demand forecasting using `ARIMA` and `FB Prophet` models, and exogenous variables like `discounts`, `price-hikes`, `number of housing-permits`, `consumer sentiment index`, etc. (internship project).

* A [Credit Card fraud detection](https://github.com/vikrantdeshpande09876/Credit_Card_Fraud_Detection) `Random Forest` based system deployed on GCP to monitor source-file changes using Cloud Functions and Airflow (Cloud Composer).

* A distributed [weather-reporting](https://github.com/airavata-courses/scapsulators) system deployed using `microservices` architecture in `Kubernetes` clusters for real-time streaming of inference-reports over `Kafka` topics.

* An in-house [master-data-management tool](https://github.com/vikrantdeshpande09876/Masterize_Hospital_Entities) to recursively parse and merge subsets of data while tracking transitive dependencies, using `PySpark`, `SQL Views`, and `Levenshtein similarity` for string-comparisons.

* An AI product to [detect weapons](https://github.com/vikrantdeshpande09876/Weapons-Detector-WUPHF) in CCTV/webcam footage and immediately notify authorities using `YOLOv3`, `Docker`, `Kubernetes`, and `Kafka`.

* Bronze medal for [Revenue prediction](https://www.kaggle.com/vikrantdeshpande098/gstore-cust-revenue-prediction) via a `Stacked` ensemble-model of `Gradient Boosting` methods.

![Typing SVG](https://readme-typing-svg.herokuapp.com/?color=ffffff&size=35&center=true&vCenter=true&width=1000&lines=Reach+out+on+LinkedIn+to+merge+our+conversations+🤝)



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[](https://www.linkedin.com/in/vikrant-deshpande/) [](https://github.com/vikrantdeshpande09876/)