Portfolio

Shashidhar Chavula

Transforming raw data into actionable insights through innovative engineering solutions and analytics

About Me

Profile

5+ Years

Experience

Data Engineer & Analyst with a passion for transforming data

I specialize in designing and implementing robust data pipelines, optimizing ETL workflows, and building insightful analytics dashboards. With expertise in Python, SQL, Apache Spark, and cloud platforms like AWS and Azure, I help organizations leverage their data to drive informed decision-making.

My background combines strong technical skills with a deep understanding of business needs, allowing me to bridge the gap between raw data and actionable insights. I'm passionate about solving complex data challenges and continuously expanding my knowledge in the rapidly evolving field of data engineering.

Name:

Shashidhar Chavula

Email:

Shashidhar17567@gmail.com

Location:

Miami, FL

Availability:

Open to opportunities

Download Resume

Skills & Expertise

My technical toolkit spans across various domains of data engineering and analytics, enabling me to deliver end-to-end data solutions.

Languages Expertise

My proficiency in languages enables me to build robust data pipelines and implement efficient data processing solutions.

Python95%
SQL90%
Java75%
Scala70%
R65%

Projects

Explore my portfolio of data engineering and analytics projects that demonstrate my technical expertise and problem-solving abilities.

Heart Disease Prediction Model

Heart Disease Prediction Model

LightGBM model with 95% accuracy deployed via a JavaScript/HTML web app

Machine Learning
LightGBM
JavaScript
+1
Real-Time Support Metrics Dashboard

Real-Time Support Metrics Dashboard

Power BI dashboard built using Azure Data Factory pipelines to track KPIs

Power BI
Azure Data Factory
KPI Tracking
IoT Smart Car Development

IoT Smart Car Development

IoT Smart Car with Wi-Fi, camera, and ultrasonic sensors, with AWS IoT infrastructure

IoT
AWS
Sensors
+1
Medical Claims Fraud Detection

Medical Claims Fraud Detection

Use anomaly detection, clustering, or classification algorithms to flag suspicious claims based on patterns in the data

Anomaly Detection
Machine Learning
Matplotlib
+4
ETL Pipelines & Data Warehousing

ETL Pipelines & Data Warehousing

Optimized ETL workflows using Apache Spark, Snowflake, and AWS Glue

ETL
Apache Spark
Snowflake
+1
Customer Segmentation Analysis

Customer Segmentation Analysis

K-means clustering model to identify customer segments for targeted marketing

Machine Learning
K-means
Customer Analytics
Real-time Fraud Detection System

Real-time Fraud Detection System

Machine learning model to detect fraudulent transactions in real-time

Machine Learning
Real-time Processing
Fraud Detection

Experience & Education

My professional journey in data engineering and analytics, along with my educational background.

Data Engineer

Infosys Limited

India, HYD
Jan 2021 - Present
  • Optimized ETL workflows using SQL, Python, Apache Spark, and Snowflake, improving data processing efficiency by 40%.
  • Reduced pipeline downtime by 30% using AWS technologies (Redshift, Glue, Lambda).
  • Implemented data quality frameworks that decreased data errors by 25%.
  • Collaborated with cross-functional teams to design and implement data models that support business intelligence initiatives.

Data Analyst

OH look

India, HYD
Jun 2019 - Dec 2020
  • Automated reporting and A/B testing workflows using Python and Power BI/Tableau, increasing user engagement by 15%.
  • Built real-time Kafka/Azure Data Factory pipelines, integrating multi-source data for unified dashboards.
  • Developed predictive models for customer behavior analysis, resulting in a 20% increase in conversion rates.
  • Created comprehensive documentation and conducted knowledge transfer sessions for stakeholders.

Graduate Teaching Assistant

Florida International University

Miami, FL
Aug 2018 - May 2019
  • Mentored students in Python scripting and cloud deployment (AWS/Azure).
  • Assisted professors in developing course materials for data engineering classes.
  • Conducted lab sessions on database design, ETL processes, and data visualization.
  • Evaluated student projects and provided constructive feedback to improve their technical skills.

Master of Science in Computer Science

Florida International University

Miami, FL
Aug 2017 - May 2019
  • Specialized in Data Engineering and Machine Learning.
  • Completed thesis on 'Optimizing ETL Processes for Big Data Applications'.
  • Maintained a 3.5 GPA while working as a Graduate Teaching Assistant.
  • Participated in research projects focused on healthcare data analytics.

Certifications & Publications

Professional certifications and academic publications that showcase my commitment to continuous learning and contribution to the field.

Feb 2024

Oracle Cloud Infrastructure 2024 Generative AI Certified Professional

Issued by Oracle

View Certificate

Cisco Certified Network Associate (CCNA) – Routing and Switching

Issued by Cisco

View Certificate

Cisco IT Essentials: PC Hardware and Software

Issued by Cisco

View Certificate
Jul 2023

Introduction to Cybersecurity Tools & Cyber Attacks

Issued by IBM

View Certificate
Mar 2023

AI for Everyone

Issued by Deeplearning.ai

View Certificate
Mar 2025

Google Data Analytics Capstone: Complete a Case Study

Issued by Google

View Certificate
Sep 2021

Heart Disease Prediction Using Machine Learning Techniques

Issued by IEEE Third International Conference on Inventive Research in Computing Applications

View Publication

Get In Touch

Have a project in mind or want to discuss potential opportunities? Feel free to reach out!

Contact Information

Feel free to reach out through any of these channels

Email

Shashidhar17567@gmail.com

Phone

+1 (786) 238-3131

Location

Miami, Florida

Availability

Currently open to full-time positions, freelance projects, and consulting opportunities in data engineering and analytics.

Send Me a Message

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