Pavan Kumar Vivekanand Gundwan

Mobile : 948*******

Email : adav6t@r.postjobfree.com

GitHub : https://github.com/Pavanvg

Linkedin: https://www.linkedin.com/in/pavan-kumar-vg-245769194/ OBJECTIVE

Looking forward for a challenging career in an organization where I can impart my technical, analytical and innovative skills for the accomplishment of organizational goals and simultaneously improving my skills.

PROFESSIONAL SUMMARY

• Intern data scientist with extensive experience in data science,machine learning and statistical applications using Python and R development tools .

• Working as intern data scientist with Inventateq, Banglore.

• Worked as intern at Malnad Alloy Castings Pvt Ltd.

• Strong experience in data science,machine learning and statistical application using Python and R tools.

• Extensive hands-on experience using Python libraries such as numpy, scipy, pandas, statsmodels, matplotlib, seaborn, bokeh, plotly, sympy, scrapy, and scikit learn.

• Hands on experience using R libraries like dplyr, ggplot2, caret, data.table, psych .

• Working experience in business domains such as sales, digital marketing and health care and delivered capstone projects.

• Strong knowledge on structured datasets(RDBMS).

• Hands on experience in SQL data manipulation, joins and merging.

• Very good knowledge in advanced statistical concepts like Hypothesis Test, T-Test, ANOVA, MANCOA, MANOVA

• Strong knowledge in Supervised Machine Learning Algorithms like multilinear regression, polynomial regression, multinomial logistic regression, ordinal logistic regression, regression decision tree, random forest, Support vector machines.

• Hands on experience in unsupervised machine learning algorithms such as Hierarchical clustering, K-means clustering, principal components analysis and association rules.

• Very good experience in exploratory data analysis using statistical concepts like univariate, bivariate and multivariate approaches.

• Hands on experience using visualization tools like matplotlib, seaborn, bokeh, ggplot2 and plotly.

• Strong understanding of CRISP-DM & SEMMA data science project methodologies.

• Developing technical specifications which include approach, methodology and statistical tools for all business queries.

• Experience in data extraction from different servers into Python and R environment using SQL.

• Developing and maintaining documentation to describe program stages, logics, coding and validation.

• Good Knowledge on generate pivot tables, reports and graphs in MS-Excel. PROFESSIONAL EXPERIENCE

Roles and Responsibilities:

• Working as intern data scientist.

• Working on health care and digital marketing business domains.

• Data collection and extraction strategies on MYSQL workbench

• Applying missing values, outlier detection strategies, performing feature engineering concepts like feature selection, feature extraction, feature transformation, generating candidate models on our actual business data and tested with algorithms such as multilinear regression, polynomial regression, random forest.

• Apply data segmentation strategies, apply data selection and data extraction strategies.

• Visualizing input and output variables before and after standardization of data.

• Executing exploratory data analysis.

Projects:

• Income Prediction Of Retail Customers.

• Predicting Insurance Policy Takers

• Credit Risk Analysis

• Predicting Employee Exit

• Design And Development of Waste Plastic Briquatting machine Tools & Technologies:

Tools : Anaconda, Python 3.7, Spyder

Technologies: numpy, scipy, scrapy, scikit learn,matplotlib,ggplot2,seaborn,bokeh, plotly, statsmodels

TECHNICAL SKILLS

• Programming Languages : Python, R

• Databases : MYSQL Workbench

• ML Tools : Python,Anaconda, Spyder, Pycharm, R studio

• Non Programming ML Tools : Rattle from R

• Design Software known : PRO E, ANSYS, Solid Edge, Edge cam, AutoCAD 2D STATISTICAL SKILLS

• Qualitative Analysis

• Sampling Techniques (Random and Non-Random)

• Descriptive Statistics

• Correlation Analysis

• Regression Analysis (Linear/Multiple/Logistic)

• Cluster Analysis

• Hypothesis Testing

• Normal/Gaussian Distribution

• Binomial Distribution

ACADEMIC QUALIFICATIONS

• B.E (Mechanical Engineering) from Jawaharlal Nehru National College Of Engineering, Shivamogga from 2014-2018 with 62.82%.

• SSLC from St Mary’s English High School, Bhadravathi with 85.92%.

• PUC from DVS Composite PU College, Shivamogga with 82.16% PERSONAL DETAILS

• Father Name : Mr.Vivekanand

• Date Of Birth : 14th Aug 1996

• Language Known : English, Hindi, Kannada

• Present Address : BTM Layout, Banglore

DECLARATION

I hearby declare that the above particulars furnished are true to the best of my knowledge and nothings is concealed and misinterpreted.

Date:

Place: Banglore [Pavan kumar vg]

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