Data Analyst Scientist

TP TUSHAR

PATIL

Data Scientist - Data Analyst

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

770-***-****

https://www.linkedin.com/in/tushar-patil-1b565a22a Github: https://github.com/tushar2260/tushar2260

Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Aspiring Data Scientist with strong math background and 6 month of experience in data processing, predictive modeling, and hyper parameter tuning.

Experienced in Python, SQL, ML and Deep Learning techniques like neural networks, image processing as well as time series forecasting.

Education

B Tech in Aerospace Engineering

SOET at Nashik August 2017 -

August 2021

Certification in Data Science

Excelr Institute at Pune August 2021

- February 2022

Key Skills

Data science, Data analysis, MySQL,

Python, R, My Excel, Tableau, Power BI,

Statistics, Problem Solving, Machine

learning, Data Visualization.

Certifcations

Data Science Certification

November 2021- ExcelR Solutions

IBM Text Analytics Certification

November 2021 - IBM developer Skills

Network

Internship Project Certification

January 2022 - AI Variant

Languages

English

Hindi

Marathi

Experience

Aug 2021-Present)

Data Science Intern /Excelr Solutions, Pune

Created data visualization granics, translating

complex data sets into comprehensive visual

representations And worked on projects with

proper use of Data Science tools Learned to create dashboards and use Functions in excel.

Project

1. Many industrial processes emit CO2 through

fossil fuel consumption. CO2 is constantly being

exchanged among the atmosphere, ocean, and land

surface as it is both produced and absorbed by

many microorganisms, plants, and animals.

2. To forecast Co2 levels for an organization so that then organization can follow government norms

with respect to Co2 emission levels.

3. We have applied some Time Series Forecasting

Models to given CO2 dataset.

After applying some Forecasting models to given

dataset,we have found that MODEL ARIMA gives

good time series forecasting for CO2 emission.

Tools and Technology

Python (Pandas, Numpy, Scipy, Seaborn, Matplotlib, XGBoost, LightGBM, Scrapy, Keras, Scikit-Learn)

Anaconda, Jupyter Notebook, NLP.

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