Python Data

Prabhakaran Jayavel

J ** Muthamil Nagar,

Thandavarayan St, Tondiarpet

Chennai, TamilNadu.

Pin: 600081

Call: +91-967******* Email: *.**********@*****.***

SUMMARY

●Highly Analytical individual with strong opt for learning and collaborative skills.

●Extensively worked on considerable amount of proof of concepts.

● Hands-on Experience with Predictive analytics and Classical Modelling techniques to offer meaningful business insights.

EDUCATION/TRAINING

2019 - 2020 Imarticus Learning Chennai, India

●Post Graduate in Analytics

»Data Interpretation, Exploration, Manipulation & Analysis

»Fundamentals of statistics

»Predictive Modeling:

Linear Regression

Logistic Regression

Support Vector Machines

Decision Trees

Random Forest

KNN

XGBoost

»Big Data Technologies:

Big data Hadoop using Hive, Pig, and Flume

»Data Integration tools:

SQL (MySQL, Microsoft SQL server)

»Analytical tools:

R – Statistical Modeling, Univariate and Multivariate analysis, Predictive modeling

SAS - Basic

Python - Predictive modeling

»Visualization tool:

Tableau – Data organization, Advanced visualization, Dashboard Creation, Data Presentation

2015 – 2019 Velammal Engineering College TamilNadu, India

●Bachelor in Engineering (Automobile)– 7.25 CGPA

2013 – 2015 Dhanalakshmi Hr. Sec. School TamilNadu, India

●H.S.C - 85%

2012 – 2013 K.C. Sankaralinga Nadar Hr. Sec. School TamilNadu, India

●S.S.L.C - 84.3%

PROOF OF CONCEPTS

2020 Twitter Scraping and Analysis

Tools used: Python and Excel

Activities

●Performed Analysis on the Political Parties in TamilNadu.

●Scraped Twitter Using GetOldTweets3 (python package).

●Manipulated the scrapes to meaningful source.

●Implemented a rating Phenomenon to scale the performance.

●Categorized Parties activities in to service, COVID-19 and Other Organizational Services.

2020 YouTube Views Prediction

Tools used: python and tableau

Activities

●Data Exploration to establish a significant relationship between features.

●Worked on Stacking Regressor (a Robust Algorithm) to maintain low RMSE and best fitting.

●Processed features with text in it with NLP (stemming, lemmatizing, and vectorization).

●Visualized features to find Hidden Patterns

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2020 Loan Defaulters Prediction.

Tools used: python and tableau

Activities

●To predict Loan Defaulters before providing the loan.

●Extracted the variables available during the loan application with the Existing Customers data.

●Used Exploratory Data Analysis to find Statistical attributes of the data.

●Used Random Forest and RFE (Recursive Feature Elimination) for Feature Engineering

●Evaluated model performance with various metrics (F1 score, Precision, Recall),

Only because of the data imbalance.

●Cross Validation done to obtain best fit model.

2019 Handling Data Imbalance

Tools used: python

Activities

●With the help of numerous algorithms and statistical methods, Devised an optimal way to deal with

Data imbalance.

●SMOTE (Synthetic Minority Over-Sampling Technique), and Under-sampling Methods, Selective Sampling,

Balanced class models and Focused Segregation on the minority class with model parameters

ACHIEVEMENTS

• Secured 2nd Place in Hackathon Conducted by Imarticus pvt. Ltd.

• Placed 16th in 6th International Go-Kart Design Championship in Greater Noida.

• Typewriting (First Class with Distinction).

PERSONAL INTERESTS

• Technical: Deep Learning and Natural Language Processing.

• Video-Games and Video-editing.

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