8055338005 LinkedIn GitHub Pune, India
About Me
Entry-level ML engineer with a strong foundation in data preprocessing, feature engineering, model building and evaluation. Hands-on experience in designing and implementing machine learning algorithms. Seeking opportunities to solve business problems and create innovative data intelligence solutions.
Overview
1
1
year of professional experience
1
1
Language
Work History
Machine Learning Intern
iNeuron Intelligence Pvt Ltd
07.2023 - 01.2024
Developed an end-to-end machine learning project named “Insurance Premium Price Prediction” to predict how much a person needs based on his health situation
Performed classical machine learning tasks like Exploratory Data Analysis, Data Cleaning, Feature Engineering, Model Building and Evaluation, Achieved R2 score of 0.93 using a prediction algorithm on test data
Created a web application using Flask that takes all the necessary inputs from the user & and shows the output
Then deployed trained model as API into production environment using AWS Platform
Build CICD pipelines using MLOps techniques to automate machine learning workflows such as Data ingestion, validation, and transformation as well as Model training and evaluation to monitor and maintain deployed models, making improvements as necessary (View Project)
Academic Projects
Thyroid disease detection using machine learning techniques (Project link)
In this project, we built a machine-learning model that detects whether the patient has thyroid disease by checking the values of selected features
Preprocessed, cleaned, analysed and transformed data using Data Mining techniques
Experimented with different algorithms, hyperparameters, and features to optimize model performance
Got Random Forest model as best model with 93% Accuracy and AUC score
The Effect of various factors on competitive exam aspirants in Karad City (View document)
It is a Case Study report in which we have applied various statistical techniques including designing proper questionnaires for data collection, defining sample size and sampling technique and applying the right statistical tests to check the hypothesis.
Education
MSc - Statistics
SGM College
2023
BSc - Statistics
Shivaji University
2020
Skills
Skills & Other
Python
Pandas
NumPy
Matplotlib
SQL
Git
Docker
MLOps
Scikit-learn
TensorFlow
AWS
Statistics
Machine Learning
Deep Learning
Data Visualization
Data Analysis
NLP
Achievements
Presented a research study on the project named A study thyroid disease using machine learning techniques at “3rd International Conference on Statistics and Data Science” (View Research Paper)
Certifications
Statistics and Machine Learning by ‘Devlearn Institute', Mumbai
Hands-on Training for Statistical Analysis using Python