Karthik Kumar G

Course : Cert, Data Analytics, **19

Percent : 70

Email : addpk3@r.postjobfree.com

Mobile: 948*******

Linkedin: https://www.linkedin.com/in/karthik-gangaiaha-357565179

SUMMARY

An enthusiastic Fresher with highly motivated and leadership skills having PG Diploma in Data Science.

Proficient in Machine Learning skills for multiple applications including NLP.

Trained machine learning models using python and sci-kit learn to predict probability of default with 98% accuracy.

Performed analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.

Demonstrably deep understanding of SQL and analytical data warehouses.

Experience with data-related Python packages.

Proven passion for the data quality discipline.

DATA SCIENCE PROJECTS UNDERTAKEN

Github:https://github.com/karthik0036

• Loan issued by XYZ-Corp(2007-2015)-Credit Risk Management

Tools- Python.

Trained Machine learning Algorithms like Logistic Regression, KNN, Decision Trees, Naïve Bayes,SVM,

Gradient Boosting to Predict Probability of Default.

Including Missing Value imputation, Scaling, Outlier Capping, Exploratory data analysis,

Feature Engineering validation. [855969 attributes,73k obs]

• COVID-19 Pandemic:

Tools : Python

Dataset: Time series Data(World wide cases and Cases in India till March-23)

Goal: Forecast the spread of the virus for next 7 Days

Model Implemented: Prophet

Data Visualization librares: Plotly,Seaborn,Folium,Matplotlib.

• Zomato_Bangalore

Tools: Python

Algorithms: Logistic Regression, DecisionTree, RandomForest, K-nn, NaïveBayes.

Dataset: [17 attributes 51k obs] Including Missing Value imputation, Scaling, EDA,

Feature Engineering, Visualizations.

Real Estate Price Prediction - using Advanced Linear Regression Techniques

Tools-Python

-Feature Engineering, Missing Data Treatment, Scaling, Multicollinearity check [81 attributes,14k obs]

Prediction of Caravan Insurance

Algorithms: Decision Tree, Random Forest, SVM, Knn, Naïve-Bayes,Logistic Regression

[ 86 attributes,9.8k obs]

Prediction of Customer Churn using Telecom Dataset

-Boxplot, Multicollinearity check, ROC&AUC [21 attributes,3k obs]

Market Basket Analysis

- Apriori & Item Frequency Plot

Cluster Analysis & Unsupervised Learning

-Unicef Data

EDUCATION/TRAINING

2018-2019 Imarticus Learning Bangalore, India

Data Science Pro-degree

»Data Interpretation & Analysis

»Fundamentals of statistics

»Predictive Modeling:

Linear Regression

Logistic Regression

Support Vector Machines

Decision Trees

Random Forest

SVM

»Data Integration tools:

SQL (Oracle)

»Analytical tools:

R - Basic operations, univariate and bivariate analysis, Predictive modeling

Python

Excel - Advanced Excel

»Visualization tool:

Tableau – data organization, advanced visualization, mapping, data presentation

2013– 2018 Global Academy of Technology Bangalore, India

Bachelor in Engineering (Electronics & Communicaton)

2010– 2012 St.Joseph Pre University, Hassan, India

St.Joseph Pre University, H.S.C

2008– 2010 Vijaya English High School Hassan, India

S.S.L.C

Skills

.

» Hard Skills

Machine Learning

Statistics

Data Analysis

Data Modeling

Neural Networks

Data Management

NLP

»Tools Skills

Python

R Programming

SQL

Tableau

»Soft Skills

Loyalty

Team Work

Willingness to learn

Dependability

Adaptability

Achivements

Achieved several Performance awards for mock test’s during course.

Recognized as best Team for presentation in the whole Batch.

Nominated for creative editor for game show(minute to win it).

Participated in 10km of Marathon,titling 9th position(2013).

Attained 2nd prize in Sketching potraits organized by HDFC(2011).

Attained the Title ‘Best Marketting Team ‘ in 2013.

Personal Info

• Name: Karthik Kumar G.

• Gender: Male

• Nationality: Indian

• Languages:Hindi,English,Kannada

• Residential address: #107/10,16TH cross Near Holey Chowdeshwari temple,

Nelagadharanahally, Bangalore, Karnataka, Pin: 560073

Contact this candidate