
Timeline
About me
Data Science Enthusiast
Education

K.s.r college of engineering
2012 - 2014Master of technology - mtech multimedia technology 8
Kamaraj matriculation higher secondary school
1996 - 2005Science
Great learning
2020 - 2021Post graduate program in data science and engineering (pgpdse) data science and engineering excel
The lakshmi mills higher secondary school
2005 - 2007
P.s.r engineering college, sivakasi - 626 140
2007 - 2011Bachelor of technology - btech information technology 8
Experience

Tamil nadu e-governance agency
Nov 2016 - Sept 2020Edistrict manager
The sparks foundation
Mar 2021 - May 2021Data science and business analyticsProject 1: Problem statement : Predict the percentage of an student based on the number of study hours. Also predict the score if a student studies for 9.25 hrs/ day.Key skills : Exploratory Data Analysis, Data Visualization, Linear RegressionGitHub Link : https://lnkd.in/ewuJTazProject 2: Problem statement : Predict the optimum number of clusters in Iris DatasetKey skills : K Means Clustering, Data Visualization, EDAGitHub Link : https://lnkd.in/e2cdADpProject 3: Problem statement : Predict using Decision Tree classifierKey skills : Decision Tree Classifier, EDA, Data VisualizationGitHub Link : https://lnkd.in/e_sUEkV Show less

Kpmg
Mar 2021 - Apr 2021Data analytics virtual internshipI have experienced and gained knowledge from the tasks. I’m grateful to KPMG and Forage for this opportunity.3 Datasets used : Customer Demographic , Customer Addresses, Transactions data in the past 3 monthsLibraries used : Numpy, Pandas, seaborn, MatplotlibSkill acquired: Exploratory Data Analysis, Data Segmentation, Data visualization

Anz
Mar 2021 - Mar 2021Data science internData@ANZ Virtual Internship through Forage. In this virtual internship, i got an opportunity to ,1. Write code to collect, crunch and analyze data from various internal and external sources2. Build machine and tune learning models using Python and scikit-learn3. Create linkages between various data within our business intelligence software to enable predictive modeling and trend analysis.Dataset : Transaction dataset containing 3 months’ worth of transactions for 100 hypothetical customers. It contains purchases, recurring transactions, and salary transactions.Libraries used : Numpy, Pandas, seaborn, Matplotlib, sklearnIndustry skills acquired : Exploratory Data Analysis, Data Segmentation, Data visualization and Model building (Predictive Analytics) Show less

Great learning
Sept 2021 - nowBusiness analyst
Licenses & Certifications

Basic data visualization methods - i
Leaps by analytticaFeb 2021
Fundamentals of data preprocessing
Leaps by analytticaAug 2020- View certificate

The guinness world record event - ai for india
Guvi geek networks, iitm research parkApr 2021 
Introduction to anova
Leaps by analytticaFeb 2021
Fundamentals of data analytics
Leaps by analytticaFeb 2021- View certificate

Mysql basics
Great learningFeb 2021 - View certificate

Data analytics using excel
Great learningJul 2021 - View certificate

Introduction to r
Great learningMay 2021 
Machine learning - linear regression
Leaps by analytticaFeb 2021- View certificate

Data visualization usiing tableau
Great learningJun 2021 - View certificate

Machine learning model deployment using flask
Great learningMay 2021 - View certificate

Build a face recognition application using python
Guvi geek networks, iitm research parkApr 2021 
Languages
- enEnglish
 - taTamil
 
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