Machine Learning Data Scientist

Ashwini Pandurang Patil

Data Scientist

About Me

Professional Experience

Data Science Professional with around 3.2 Years of functional expertise in preparing data, developing and deploying highly scalable machine learning models. Hands-on experience in building and running Machine Learning models in low power edge devices with

reputed organization.

Skills

Knowledge of Machine Learning.

Python/ML Packages:Scikit Learn,

Pandas,Numpy, RegEx, Matplotlib,

Seaborn for visualization.

Algorithms: Linear Regression, Logistic

Regression, Naive Bayes Classifier, k-NN,

Support Vector Machines, Decision Tree,

Random Forest, Gradient Descent,

AdaBoost.

Web stack: Flask.

Deep Learning: Neural Networks, Deep

Learning, ANN, CNN, DNN, Transfer

Learning, Back Propagation, Linear

Algebra, Activation & loss functions,

optimizers, Tensorflow 2.x, Keras,

Database: SQL, MongoDB, 3C(Command,

Constrains, Clauses), CRUD operations,

Subqueries, Window functions, Joins

Methodology: Agile, Project

Management Tool: JIRA

AWS: Elastic Compute Cloud,

Sagemaker, Notebook instance, AWS

container, Simple Storage Services S3,

Deployment, Multi cloud environment.

NLP: Text understanding, representation

& classification techniques, Text

clustering skills

Libraries: nltk, spacy, gensim, textblob,

langdetect, googletrans.

Maths & Stats: Filter, Wrapper,

Embedded Method, P-Value, T-Test, Z-

Test, ANNOVA test, Chi-Square Test, Info-

Gain Test, Hypothesis Testing, probability,

statistics, linear algebra.

Education

ME Computer Engineering 2019 S P Pune

University 7.590 C.G.P.A.

BE CSE 2014 Solapur University 70.14%

Diploma Information Technology 2011

MSBTE 76.27%

My Contact

************@*****.***

Splendour Park, A-406,

Lohegaon Road, Wagholi,

Pune-412207

91-801*******

Project 1: Term Deposit Prediction System Domain- Finance Banking

Project 3: Automatic License Plate Recognition

Domain- Transportation and Security

Project 2: Clinical Prescription Classification System Domain- Healthcare

Key responsibilities:

Develop machine learning models to predict term deposit subscription.

Clean, preprocess, and analyze the dataset.

Work on all phases of a data science / ML project - exploration and conceptualization, POC (proof of concept), data preparation, model development and testing, deployment, monitoring and debugging, continuous improvement.

Select appropriate algorithms and techniques for model training. Evaluate model performance and iterate on improvements. Deploy the final model into production.

Key responsibilities:

Collect, preprocess, and annotate training data (images of license plates).

Perform exploratory data analysis to understand dataset characteristics.

Evaluate and select appropriate metrics for model evaluation. Collaborate with deep learning engineers to ensure data quality and integrity.

Key responsibilities:

Collects, cleans, and preprocesses prescription data for analysis. Performs exploratory data analysis to understand data patterns and characteristics.

Develops predictive models.

Collaborates with NLP specialists to integrate text data into the classification system.

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