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I'm Shrinivas



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Name: Shrinivas Bhusannavar

Education: M.S in Data Analytics San Jose State University(SJSU)

Experience: 2 Years 4 Months


Skills

🤖 Python

🤖 SQL

🤖 Data Engineering

🤖 Statistical Analysis

🤖 Machine Learning

🤖 Natural Language Processing

🤖 Gen AI

About Me

I am a Certified Data Engineer with over 2 years of experience in crafting and optimizing scalable ETL processes and data pipelines. My proficiency in Python, SQL, Spark, and cloud platforms like Azure and AWS allows me to develop robust data solutions that drive efficiency and operational excellence. I excel in designing and deploying ETL pipelines, utilizing big data technologies such as PySpark and Hadoop, and automating workflows to streamline operations and cut costs.

Beyond engineering, I possess a strong background in data analytics. I leverage statistical analysis and machine learning to extract actionable insights and support strategic decision-making. Whether it's performing regression analysis or building predictive models, I transform complex data into valuable business insights that propel growth and enhance performance.

✨ Always ready for a data-driven adventure and excited to tackle the next big challenge!

0 +   Projects completed

Projects

Social Media Listening on Reddit: NLP

Developed a real-time social media listening system with Kafka, analyzing Reddit data using NLP for sentiment, entities, and topics.

House Price Estimate-ML

Built an AWS Glue ETL pipeline with S3 storage, applying regression, random forest, and XGBoost for price prediction. Developed 5+ QuickSight dashboards for data-driven insights.

IoT Network Anomaly Detection Using ML

Developed a Python-based ML model with Scikit-Learn to detect and predict IoT network anomalies, achieving 95% accuracy.

Surveillance System for Bike Rider Identification

Developed a computer vision surveillance system using YOLOv5 to identify riders and license plates, targeting helmet violations and triple riding, with 95% accuracy on 20GB of video data

OLTP/OLAP DataWare House

Designed and developed OLTP/OLAP systems, optimizing SQL queries and reducing execution time by 40%. Structured databases using EER and UML. Conducted EDA and created Tableau visualizations for key metrics.

AI In Focus: Analysis

Analyzed developer perspectives on AI using Stack Overflow's 2023 Developer Survey, visualizing insights with Tableau and D3.js.

Resume

Data Analytics Professional with over 2 years of experience in developing data-driven insights, optimizing data processes, and building predictive models to support strategic decision-making. Proficient in Python, SQL, Excel, Power BI, and cloud platforms (Azure, AWS), with a strong background in data visualization, statistical analysis, and automating data workflows to enhance business performance.

Experience


Jun 2024 - Aug 2024

Data Intern | ShareSpace

  • Enhanced data processing efficiency by 30% through optimizing ETL pipelines, incorporating Apache Spark for distributed data processing, and orchestrating workflows with Apache Airflow, resulting in faster ingestion of large datasets from Google Cloud Storage and Google Sheets into Azure Synapse Analytics.
  • Automated comprehensive data quality checks and monitoring systems, significantly reducing manual intervention by 50%, ensuring consistent data integrity across the pipeline, and promptly addressing anomalies through automated alerting mechanisms.
  • Developed and deployed over 5 interactive Power BI dashboards, transforming complex datasets into actionable insights for key stakeholders, enabling data-driven decision-making across various departments and improving operational efficiency.
Apr 2021 - Aug 2023

Data Engineer | Johnson & Johnson (Relevance Lab)

  • Enhanced supply chain visibility by 30% and cut costs and time by 20% through developing a graph-based analytics platform with Medallion architecture.
  • Optimized ETL pipelines on Azure Databricks using PySpark, boosting Spark job performance by 30% and managing workflows with Azure Data Factory.
  • Improved data modeling and analytics, leading to 30% faster decision-making through optimized databases and KPI dashboards.
  • Created a RESTful API with Flask to integrate PostgreSQL and Neo4j, cutting time-to-insight by 30% with a Knowledge Graph for network visualization.
  • Automated an OCR-based data extraction system for healthcare records, reducing manual processing by 40% and enabling real-time updates.
Jan 2020 - Mar 2020

Software Engineer Intern | Decartem

  • Automated RFID attendance tracking with Python, enhancing efficiency and accuracy, and improved data access speed by 30% through real-time syncing with Google Cloud Pub/Sub and RESTful API integration.
Jan 2019 - Mar 2019

Software Engineer Intern | Knowx Innovation

  • Conducted exploratory data analysis for a people analytics project, enhancing data analysis skills and database management, and achieved intermediate proficiency in data lifecycle management under senior analyst mentorship.


Skills


Programming Languages

Python, SQL, JavaScript, C.

Data Engineering

Databricks, Azure Data Factory, Azure Synapse, Hadoop, Airflow, Kafka, AWS Glue, AWS S3, Dbt.

Data Analytics Tools

Tableau, Power BI, Looker, MS Excel, Streamlit, Jupyter Notebooks.

Databases

MySQL, PostgreSQL, MongoDB (NoSQL), Neo4j (Graph DB).

Frameworks

Flask, PySpark, Pytorch, TensorFlow, Keras, Sci-kit Learn, Numpy, Pandas, Matplotlib.

Machine Learning

Regression, Classification, Clustering, Time Series Analysis, Hypothesis Testing, A/B Testing, NLP.



Achievements & Certifications


Achievements
  • Tech Finalist: Student Project Programme, KSCST, Indian Institute of Science, Bangalore
  • Project Sponsored Publication: International Conference (ICEEOT): Detection of Blood Cancer in Microscopic Images, Publisher: IEEE
  • Awards: Spot Award, Quarterly Award
Certifications
  • AWS Data Engineer Associate
  • Databricks Data Engineer Associate

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Contact Me

Address

San Jose, CA 95113

Email Address

shrinivas.bhusannavar@sjsu.edu

shrinivasab97@gmail.com

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Link

LinkedIn

Link



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