Data Scientist/Data Analyst

K.SRI LALANA

Mobile No - 720-***-****

LinkedIn - https://www.linkedin.com/in/k-sri-lalana-74010211a/

Email Id- *********@*****.***

Post Graduate in Statistics aspiring to become a data scientist and working to solve real life problems using innovative machine learning and data science techniques. Worked on projects like classifying the genre based on movie plot which helps the audience to make choices accordingly. Capstone Project:

Jagruk Nagrik (One Step Towards Better India):

Project details: The aim of the project is to come up with a solution to empower people to put up their problem on a common platform so as to raise the voice against all of this public problem. Skills: Deep Learning, Android Application, Python. Team size: 5

Academic Project:

Prediction of Movie Genre:

Project details: This model can used to classify the genre based on the movie plot which helps the audience to make choices accordingly.

Skills: Web Scraping, Python, Machine Learning, NLP Team Size: - 3 Dataset Size: 5600 rows X 8 columns Credit Card Default:

Project details: The main objective is to build a model that classifies whether to give credit card or not. It would also help the issuer have a better understanding of their current and potential customers, which would inform their future strategy.

Skills: Machine Learning, Python.

Team size: 5 Dataset Size: 30000 rows X 25 columns. Prediction of Income:

Project details: The objective is to develop a regression model to predict the income so that it helps policy makers of the country with the public investment programs. Skills: Machine Learning, Python.

Team size: 3 Dataset Size: 259224 rows X 21 columns. Skills:

Programming Language: Python, SQL

Machine Learning: Regression, Classification, NLP and Clustering Techniques

Visualization Tools: Tableau and Qlik sense

Educational Details:

Pursuing post graduate program in data

science, business analytics & big data in

association with IBM (2019)

Aegis school of Business, Data Science,

Cyber Security and Telecommunication

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Master’s in Statistics (2017-2019) Aurora UG and PG college CGPA- 8.2 Bachelor of Science (MSCs)

(2014-2017)

St. Francis College for Women 91%

Board of Intermediate Education (MPC)-

(2012-2014)

Narayana Junior College 89.7%

SSC (2012) Triveni Talent School 9.3 GPA

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