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Garima AgrawalGA

Garima Agrawal

@garimaagrawal

Sr. Data Analyst

Bangalore

linkedin.com/in/garima-agrawal-088124139

Discite Analytics & AISt. Xavier's College, Ahmedabad

Garima Agrawal is a data enthusiast with 2 years of experience in the analytics domain, utilizing agile development methodologies. She specializes in Python, with experience developing ML models and deploying them via Flask API and Streamlit for front-end visualization. Her expertise includes building scalable data warehouses, performing RFM analysis, and developing robust ETL pipelines.

Experience

Sr. Data Analyst

Discite Analytics & AI

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Building high dimensional scalable data warehouse, including data of Chinese service providers, brands, distributors and designers MikeCRM forms to invite partners on board. Build a dynamic dashboard using GDS on cryptocurrency data using various indexes of coins and performed twitter sentiment analysis and modelling for buy/sell recommendation. Used Redsfhift for data storage and glue for scheduling. Used RFM analysis approach for a transaction data and performed customer segmentation. DB is created in BigQuery & visual tools used to demonstrate the workings. Automating the process of creating client proposals using python streamlit - 85 to 90 % automation achieved. Data scrapping from multiple news websites using selenium , bs4 and used flask API to view the results. Deployed using docker & IP rotation is used to avoid getting identified.

Data Engineer

Tezminds Pvt. Ltd.

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Worked as an ETL developer to build scalable data pipelines. Developed workflows to automate the extraction & ingestion of data from multiple sources into the client's data warehouse. Worked on developing transformative business logic to transform ingested data and make it available in the required format.

Education

St. Xavier's College, Ahmedabad

MSc Big Data Analytics

Big Data Analytics

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University of Delhi

BSc (Hons) Mathematics

Mathematics

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Licenses & Certifications

Spark & Python for BigData with PySpark

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MongoDB Basics

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Python & Statistics for Financial Analysis

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Skills

Python
ML models
Flask API
Selenium
BeautifulSoup
Streamlit
MySQL
PostgreSQL
MongoDB
AWS
Redshift Glue
GCP
BigQuery
GDS
Tableau
RStudio
Hadoop