Prathisha G

Data Scientist

Bengaluru, Karnataka, India6 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years of experience in Data Analytics and Engineering
Expert in building automated data pipelines for AI applications
Strong analytical capabilities with effective communication skills

Stackforce AI infers this person is a Data Engineering and Analytics professional in the Manufacturing sector.

Contact

prathisha5656@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringData AnalyticsBusiness Intelligence

Other Skills

AWSAirflowAmazon Web Services (AWS)Analytical SkillsBusiness AnalysisC (Programming Language)C++Data AnalysisData VisualizationDatabase Management System (DBMS)ExcelExploratory Data AnalysisFlaskHDFSHive

About

Experienced Professional with Integrated Masters degree in Theoretical Computer Science from PSG College of Technology and 5+ years of experience exhibiting strong analytical capabilities and effective communication skills. I have a significant experience working in Data Analytics, Data Engineering, Business Intelligence, ETL, Feature Engineering for machine learning problems, predictive modelling, building and automating KPI computation workflows and building automated data pipelines for various AI applications. Driving engagements helping clients translating business problems to analytical problems by efficient requirement gathering, critical solution designing, implementation, end to end process QA and automation. Tech Skills: Python, SQL, Airflow, Excel, Powerpoint, Spark, HDFS, Hive, AWS When not working, you will find me playing violin and reading books:)

Experience

6 yrs 10 mos

Total Experience

3 yrs 5 mos

Average Tenure

3 yrs 8 mos

Current Experience

Target

2 roles

Senior Data Analyst

Promoted

Aug 2024 – Present · 1 yr 9 mos · Bengaluru, Karnataka, India

Data Analyst

Aug 2022 – Jul 2024 · 1 yr 11 mos · Bengaluru, Karnataka, India

Noodle.ai

3 roles

Data Engineer and Analyst

Promoted

Sep 2020 – Jul 2022 · 1 yr 10 mos

Worked on predictive asset health maintenance product for top firms in US manufacturing industry
Feature Engineering - Compute customized features from raw timeseries sensor data and prepare datasets that are ready for machine learning modeling
EDA and Root Cause Analysis on multiple use cases and developed statistical reports
Worked on data pipeline for raw sensor data processing and computing the required KPIs on sensor data
Implemented an Automated Data Quality framework for sensor data quality that displays several important statistics regarding quality of key metrics built for machine learning modeling reducing significant manual effort
Technologies used: Python, SQL, Excel, PowerPoint, HDFS, Hive, Airflow, AWS

PythonSQLExcelPowerPointHDFSHive+4

Associate Data Engineer

May 2019 – Sep 2020 · 1 yr 4 mos

Worked on an fleet health intelligence AI product
Effective communication with client on various business requirements and raw data gathering
EDA, ETL on various datasets and computed KPIs needed for building machine learning models
Built data pipelines that automated KPI computation workflow
Technologies used: SQL, PostgreSQL, Airflow, Microsoft SQL Server, Talend, MongoDB

SQLPostgreSQLAirflowMicrosoft SQL ServerTalendMongoDB+2

Intern - Data Engineer

Nov 2018 – May 2019 · 6 mos

Built end-to-end automated data pipeline for creating external datasets on Transportation and Logistics to enhance performance of machine learning models
Collected Transportation and Logistics news articles from various websites using web scraping, applied Named Entity Recognition(NER) on articles to extract important entities and built key metrics , converted unstructured data to structured final datasets
Developed a task management system using Flask in Python
Technologies used: Python, SQL, HDFS, Hive, Airflow, Snowflake

PythonSQLHDFSHiveAirflowSnowflake+1

Bridgei2i analytics solutions

Intern - Data Analyst

May 2017 – Nov 2017 · 6 mos · Bengaluru Area, India

Worked on increasing the sales effectiveness of a channel partner business for a Technology Enterprise client
Developed business intelligence dashboards using Qlik Sense that helped the client in quickly gaining valuable insights
Developed a machine learning model that helped the client in predicting the success of their deals, identifying deals that are more likely to win and gave a better direction to drive the business
Technologies used: SQL, R Programming, Excel

SQLR ProgrammingExcelBusiness Intelligence