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Shivaji Sagaji Shinde

@shivajisagajishinde

Data Scientist at IFS India Mercantile Pvt. Ltd.

Pune, Maharashtra

IFS India Mercantile Pvt. Ltd.ISB&M School of Technology, Nande, Pune (SPPU)

Shivaji Sagaji Shinde is a Data Scientist with over 3.3 years of experience in Machine Learning, Deep Learning, and Natural Language Processing. He has a strong background in architecting AI applications and implementing statistical models using Python and SQL. Shivaji is proficient in libraries such as Pandas, Scikit-Learn, and Tensorflow, and has experience developing predictive models for sentiment analysis and fraud detection.

Experience

Data Scientist

IFS India Mercantile Pvt. Ltd.

Oct 2020 - PresentPune

Developing and implementing exploratory data analysis, data collection systems and other strategies that optimize statistical efficiency and quality. Use predictive models to improve customer experience, revenue generation and more. Develop processes, techniques and tools to analyze and monitor model performance while ensuring data accuracy. Coordinate with various technical teams to implement models and monitor results. Work with stakeholders to determine how to use business data for valuable business solutions.

Education

ISB&M School of Technology, Nande, Pune (SPPU)

Bachelor of Engineering

Skills

Machine Learning
Deep Learning
Natural Language Processing
Python
SQL
Pandas
Numpy
Scikit-Learn
Tensorflow
Keras
NLTK
Spacy
Matplotlib
Seaborn
yfinance
Scipy
PyCaret
bs4
Regular Expression
Gensim
Langchain
openai
Web Scraping
Time Series
Flask
Streamlit
GPT-3.5
LLM
Linear Regression
Logistic Regression
Nearest Neighbor
Support Vector Machine
Naïve Bayes
Decision Tree
Random Forest
XGBoost
K-means
Dimension Reduction
Bagging
Boosting
ANN
CNN
RNN
LSTM
TF-IDF
Bag-of-words
Topic Modeling
Text Pre-Processing
Tokenization
Stemming
Lemmatization
POS
NER
Sentiment Analysis
Word Embedding
Statistical Modeling
Hypothesis Testing
Predictive Modeling
Sagemaker Studio
Jupyter Notebook
Anaconda
Google Colab
VS code
MySQL
Git
Github