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Authorized to work for any US employer (No sponsorship required), Can Join Immediately

🚀 Google Certified TensorFlow Developer, having over 12 years of experience in leading and executing data-driven solutions applying Statistical Machine Learning, modern Deep Learning, Computer Vision, Natural Language Processing (NLP) across domains (Manufacturing, Retail, Sales & Marketing, Telecom, Pharmaceutical) in variety of roles from Consulting and Engineering to Data Science.

🤓 Led a team of junior Data Analysts, mentored them through Machine Learning Life Cycle of Data Preparation, Exploratory Analysis, Model Training, Testing, Deployment. Product Management & Roadmap Planning for omnichannel recommendation system leading to 2.5% lift in Prescription writing scores. Product Owner responsible for scaling the product to 5+ brands, 10+ channels impacting 70K+ HealthCare Professionals.

🔥 Expert in Artificial Intelligence, Artificial Neural Networks, Image Processing, Convolutional Neural Networks(CNN), Recurrent Neural Networks(RNN), Sequence Modeling, LSTM/GRU, Classification, Regression, Clustering, Bagging, Boosting, Object Detection, Semantic Segmentation, Information Retrieval, User Ranking, Personalization, Customer Behavioral Analysis, Churn Analysis, Anamoly Detection, Rare Event Detection & Class Imbalance.

🤓 Heavily involved in all phases of ML Development and Delivery, Business Intelligence(BI), Stakeholder Management, Data Structures and Algorithms, Data Loading, Dimensionality Reduction, Visualization, Preprocessing, Feature Engineering, Feature Selection, Model Selection, Cross Validation, Metrics, Loss, Optimization, Hyperparameter Tuning, Stacking, Ensemble, Prototyping, Prediction, Recommender Systems, Dimensionality Reduction, Distributed Computing, Regularization, Explainable AI, Software Development Life Cycle (SDLC), Agile, Scrum, Kanban.

🔭 Excellent team player, strong believer in collaboration, diversity and inclusion.

🛠 Python, R, SQL, Hive, Scala, C/C++, Java, HTML, CSS, Bash, Shell, Linux

🛠 Git, VS Code, PyCharm, Jupyter Notebooks, HDFS, Google Colab, Kaggle, Dataiku, Databricks, FastAPI, Flask, Streamlit, Gradio

🛠 NumPy, SciPy, Pandas, Spacy, Gensim, HuggingFace, Scikit-Learn/sklearn, Spark, MLlib, OpenCV, Keras, TensorFlow, PyTorch, JAX

🛠 Matplotlib, Seaborn, PIL, Plotly, Geopandas, PowerBI, Adobe Analytics, Tableau, Looker, TensorBoard, LIME, SHAP,

🛠 Google Cloud, GCP Vertex AI, BigQuery, AWS SageMaker, Lambda, Kubernetes, Docker, Kubeflow, Airflow, Beam, Dataflow, MLOps

📫 Say Hello at : blog , linkedin , twitter , github

🥇 Certifications I recently did are:

Rahul Bakshee's Projects

caffe icon caffe

Caffe: a fast open framework for deep learning.

cp icon cp

Competitive Programming, System Design, Kaggle, LeetCode, AnalyticsVidhya, HackerRank, Project Euler, Interview Query

cv icon cv

Computer Vision, Deep Learning, Generative Adversarial Networks, MOOCS, GANs, OpenCV, Tensorflow, keras and pytorch

dl icon dl

Deep Learning , Neural Networks, TensorFlow, Keras, Pytorch, MOOC, AI

fastai_in_colab icon fastai_in_colab

I'll be working through the Fast.ai courses entirely in Google Colab notebooks. I'll publish them here!

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

iwritehere icon iwritehere

blogs on AI, ML, DL, CV, NLP, tensorflow, pytorch, pySpark, s/w & h/w

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

llm icon llm

a repository on Large Language Models (LLMs) where I explore different open-source and closed-source libraries and try to create some cool applications

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