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Sai Pavan K ASK

Sai Pavan K A

@saipavanka

Consultant - Data Strategy & Engineering at Kantar Analytics

Bangalore

linkedin.com/in/sai-pavan-k-a-aa3b57118

Kantar AnalyticsSCSVMV University

Sai Pavan K A is a data analytics professional with over 4 years of experience in the IT industry. He is adept at collecting, analyzing, and interpreting large datasets, developing forecasting models, and performing data management tasks. He possesses strong analytical skills and experience presenting data-driven insights using tools like Power BI.

Experience

Consultant - Data Strategy & Engineering

Kantar Analytics

•Invalid Date - Present•Bangalore

Worked on Social Media data on behavior of the consumer, answering & analyzing the Client needs/questions. Written the relevant queries in Social Listening platform and extracting the data for further analysis. Presenting the data driven insights through Power BI / Power Point to the Client. Performed various feasibility checks for particular Clients and Markets, if their Business questions can be analyzed or not.

Data Analyst

Byju's

•Invalid Date - Invalid Date•Bangalore

Developed both front end and backend of a Web Application, where Managers across the organization can request for a Resource from other Managers using Python(Flask). Developed various Dashboards to monitor the performance of the teams working across Byju's at a week and a month level in Power BI. Automated various Weekly and Monthly reports using Python and SQL. Responsible for conducting interviews on Statistics and Machine Learning and handled team size of 3 people.

Data Analyst

Dimension Data (NTT India Private Limited)

•Invalid Date - Invalid Date•Bangalore

Developed FeeBee Classifier that tells us the sentiment of the client using Machine Learning and NLP techniques in Python. Handled large data sets of various types for data processing, analysis, interpretation and eventually prediction using various machine learning techniques. Analyzed various metrics of employee performance.

Education

SCSVMV University

Mechanical Engineering

Mechanical Engineering

Invalid Date - Invalid Date•Grade: 8.2 CGPA

Skills

Python
Machine Learning
Natural Language Processing
SQL
Power BI
HTML
AWS
Azure
DataBricks
GIT
Excel
Linux