Hello!

I'm
Praveen Jogi



>>Transforming data into actionable insights

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Name: Praveen Jogi

Job Role: Data Engineer/Data Analyst

Experience: 3 Years 8 Months

Address: Chicago, Illinois

Skills

SQL
PYTHON
Deep Learning
Big Data Technologies
Machine Learning

About

About Me

"Experienced Data Engineer with a Master’s in Data Analytics Engineering, specializing in building efficient data pipelines, cloud-based solutions, and advanced analytics models. Skilled in leveraging Big Data technologies and cloud platforms, with a focus on transforming data into strategic insights that drive business growth and efficiency.".

  • Domain: Data Engineering & Analytics
  • Education: Master of Science
  • Skills: Python, SQL, C, C++, R, Scala, MATLAB
  • Big Data Tools: Apache Spark, Snowflake, Databricks, AWS EMR, DBT
  • Data Engineering: Power BI, Airflow, ETL, AWSS3, Azure, RedShift, Tableau
  • Other Skills: Excel,Data Visualization, Data Modeling, KPI metrics Management, Data Warehousing, Healthcare Analytics
  • Interest: Traveling, Photography, Games

  Completed multiple successful projects

LinkedIn

Resume

Resume

"Seasoned Data Engineer/Analyst with 3+ years of experience building and optimizing data pipelines, developing scalable data architectures, and delivering actionable insights to drive business decisions. Proven expertise in big data technologies, cloud platforms, ETL processes, and data visualization, with a strong focus on enhancing operational efficiency and supporting data-driven strategies."

Experience


2023-2024

Data Analyst (Real-time Project)

UIS, Springfield

The University of Illinois Springfield offers a comprehensive education with a focus on data analytics, fostering innovation and practical skills development.

  • Conceived and executed a sentiment analysis solution that processed and analyzed 500,000 customer reviews, providing actionable insights that led to a 25% increase in user satisfaction metrics within a quarter.
  • Accelerated model training time by 30% through advanced techniques and parallel processing using GPU resources.
  • Incorporated sentiment analysis APIs into three client-facing applications, enhancing user engagement and satisfaction.
  • Implemented the sentiment analysis model in a cloud environment, ensuring scalability and real-time processing for high volume data streams.
  • Built a data pipeline to automate data collection, preprocessing, and model updates, reducing manual intervention by 50%.
  • Developed comprehensive reports and visualizations using Power BI to present key findings, enabling data-driven decision-making for stakeholders.

2020-2022

Data Engineer

Aarmec Technologies, Bangalore

A leading provider of advanced healthcare analytics solutions, specializing in data engineering, automation, and optimizing data processing efficiency to drive operational performance and business growth.

  • Collaborated with product owners to develop healthcare analytics data assets, improving data pipeline efficiency and warehouse performance by 20%.
  • Formulated fact-dimension modeling (Star Schema) and created materialized views and T-SQL transformations, optimizing Datawarehouse performance.
  • Crafted over 12 dashboards on Google Sheets for data visualization, enhancing business KPI tracking and stakeholder collaboration.
  • Automated production processes using test plans, Agile methodologies, and KPI metrics evaluation, resulting in a 30% increase in data mining efficiency.
  • Designed solutions to ingest over 2 million healthcare records (including claims and genetic tests) through ETL pipelines in SSIS and SQL transformations, improving data processing speed by 25%.



Education


2023-2024

University of Illinois Springfield

Master of Science

GPA: 3.8/4

2017-2020

Global Academy of Technology

Bachelor of Engineering

CGPA: 7.0/10

Download Resume

Projects

Projects

"Explore these Data Analytics/Engineering projects showcasing SQL, Python, Power BI, Scala, Apache Kafka, Spark, Airflow, ETL, Bigdata tools, Machine Learning and Deep Learning techniques.".

Sentiment Analysis of Twitter Using Deep Learning

Developed a Sentiment Analysis model for Twitter data using deep learning techniques, classifying tweets as positive or negative.

Customer Segmentation for E Commerce using K Means Clustering

Performed customer segmentation on an e-commerce dataset, which includes information such as age, annual income, and spending score.

Real-time Data Processing with Apache Kafka and Apache Spark

processed real-time data streams by integrating Apache Kafka for data ingestion and Apache Spark for real-time data processing.


Building a Scalable Data Warehouse and ETL Pipeline

Constructed a robust data pipeline that extracts, transforms, and loads (ETL) data into a scalable data warehouse.

Predictive Analytics for Patient Readmission Risk in Hospitals

Building a predictive model and conducting data analysis to identify factors contributing to patient readmissions in hospitals.

Financial Fraud Detection and Transaction Analysis System

To detect fraudulent financial transactions in real-time using machine learning algorithms.

+ Certifications
0 Courses Completed
0 Projects
0 Cups of coffee

More projects on Github

I love to solve business problems & uncover hidden data stories


GitHub

Contact

Contact Me

Below are the details to reach out to me!

Address

2619, Clipper Drive, Apt 1304, Schaumburg, IL 60173

Contact Number

+1 5513590769

Email Address

praveenj3006@gmail.com

Download Resume

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