Data Inplant Training

Samrat Kishore

Data Science

Highly accurate and Young Data Scientist adept at collecting, analyzing, and interpreting large dataset, developing new forecasting models, and performing data management tasks.Possessing an extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. **************.*@*****.*** 882-***-****

24,Gvp illam,marutham nagar,saravanapatty-641035,

Coimbatore, India

12 June, 1998

www.kaggle.com/samratkishore linkedin.com/in/samrat-kishore-82266a192 WORK EXPERIENCE

06/2019 – Present

Internship - Intern

Duratech Solutions

Coimbatore

Knowledge- Python,Machine Learning.

Proven experience as a Data Scientist.

Build predictive models and machine-learning algorithms. Present information using data visualization techniques. Classification tasks is simply related with predicting a category of a data.

Propose solutions and strategies to business challenges. Interpreting the data to discover solutions and

opportunities.

Achieved Regression tasks mainly deal with estimation of numerical values .The aim is to predict the value of a continuous response variable.

Used confusion matrix,that is a table is often used to describe the performance of a classification model on a set of test data for which the true values are known

Performed Web scraping, Is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. EDUCATION

08/2015 – 05/2019

B.E-CSE

Anna university affiliated-AAA College of

Engineering And Technology.

Madurai,TamilNadu,India

CSE-Full_Time-Course CGPA-6.84

No-Back_logs

04/2014 – 04/2015

HSC

Sri Shenbaga Vinaagar Matric. Hr. Sec. School,

Sivakasi.

Sivakasi,TamilNadu,India

English-Medium Percentage-88%

SKILLS

Python Machine Learning Matplotlib Seaborn

Pandas Numpy Sklearn Naive Bayesian

Linear Regression Decision Tree Web Scraping

Logistic Regression K-Means Clustering EDA

Artificial neural network Time series

Natural language Processing Data visualization

PROJECTS

Kaggle-House Prices: Advanced Regression Techniques Link- https://www.kaggle.com/c/house-prices-advanced-regression- techniques/leaderboard#score /top-58%

The House Prices: Advanced Regression Techniques challenge asks us to predict the sale price of a house in Iowa, based on a set of information about it, such as size, location, condition, etc. Getting to know the data. Cleaning and preparing the data for modelling. Fitting models and evaluating their performance. Model Trained based on Linear-Regression,Decision Tree Regression,Random Forest Regression,Xgboost Algorithms and the one fitted for prediction

Breast Cancer Database

Worked on Cancer prediction problem to automate the people alive process based on defects. Used Logistic regression, Decision tree and compared their performance.

Becoming an Independent Data Scientist project- used two similar datasets & visualize broad topic of measures to solve a real-world problem (using Python modules)

Pima Indians Diabetes Database

. The objective is to predict based on diagnostic measurements whether a patient has diabetes.

Performed Logistic Regression, Artificial Neural Network for the good value prediction on it

CERTIFICATES

ARTIFICIAL INTELLIGENCE with MACHINE LEARNING

,SmartAnt

Basic Machine Learning Concepts. Supervised and unsupervised machine learning.Classification and regression. Data mining. Learning, training dataset. Instance, sample, record. Feature, attribute, property, field Inplant Training session, SRISHTI CAMPUS, Trivandrum Undergone 7 Days Inplant-Training

Achievements/Tasks

Courses

Courses

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