SRIKANTH K V
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Objective
A proactive and fast learning individual seeking an opportunity to work as a dynamic data analyst utilizing analytical skills and relevant expertise to help the company achieve business goals while sticking to vision, mission and values.
EDUCATION
Jain University, Bengaluru
Masters in Management Studies, Specialization- Business Analytics -
Relevant Coursework: Statistics, Machine Learning, Data Mining, Economics, Finance
Data Visualization, Operation Research, Marketing, Advanced Analytics.
Capstone Project: Text Analytics and Twitter Sentiment Analysis
Aggregate: 76%
East West Institute of Technology, Bengaluru
Bachelor of Engineering, Mechanical -
Aggregate: 71%
Vivekananda PU College, Bengaluru
Class 12, Science -
Aggregate: 82.5%
Niveditha English School
Class 10 -
Aggregate: 82.4%
EXPERIENCE
OSP, Bengaluru
Analyst-Operations Oct-2014 to Aug-2015
Job Description
Data cleansing and analysis using formulas and Pivot tables, data validation, data visualization.
Presented findings and data to team to improve strategies and operations.
Sourcing Emails for Business Development.
TECHNICAL SKILLS
MS Excel(Certified Specialist)
Machine Learning
R Programming and SPSS
SQL
Data Mining and Data Visualization
NLTK
Finance(Derivatives, Securities,etc.)
Decision Trees and Random Forest
Linear and Logistic Regression
Python(numpy, pandas,Tensorflow)
NLP
Text Analytics
Artificial Neural Networks
ACADEMIC PROJECT-1
Twitter Text Analytics and sentiment analysis of President of USA Donald Trump:
The aim of project is to extract tweets from twitter through R software and process the tweets to convert into Plain Text on which I built cluster model and performed sentiment analysis.
Due to advent of social media and its usage linked to many applications data generated from them is mostly unstructured (text, images, videos etc...). There are many hidden Insights in these type of data, so if any Business want to use this data it has to be processed using many techniques to derive insights.
R Software packages used: twitteR, tm, Rcurl, ggplot, streamR, devTools, stringr, openNLP.
Statistical techniques applied: Cluster Analysis, Term Document Matrix, Stemming,
Word cloud, Association between words, Frequency count of words and Tweet mapping.
Academic Project-2:
Prediction of Loan Default using neural networks and Logistic Regression.
In this project I was able to successfully predict the person who is going to default the loan based on the variables LTI (the loan to yearly income ratio) and age of person by applying the Artificial Neural Network (ANN) method and logistic regression using R software.
ANN method gave far better result compared to logistic regression in predicting the loan defaulter.
Packages used: neuralnet (backpropogation algorithm).
Achievements
Participated and won prize in several Quiz Competitions.
Played Football and won in Inter-school competition.
Conducted workshop on Basics of Neural Network using R software
Additional Information
Date of Birth :-
Nationality : Indian
Languages Known : Kannada, English and Hindi.
Personal Interest : Avid Reader, Software learning, Music Listener.
Address : #137, Kesthur, Doddaballapur, Bengaluru -561203
Declaration
I hereby declare that the above-mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the above-mentioned particulars.
Sincerely,
Place: Bengaluru Srikanth K V
