Sathvik Putta

Hi, I’m Sathvik Putta
Data

I create digital products that feels simple, human, and a little bit magical.



I'am a Data Engineer
Data Analyst
Data Scientist
Data Visualization
Data Engineer
Data Science
Data Visualization

Explore My

Work Experience

Sep 2022 – Nov 2023 | Hyderabad, India

Data Engineer

ASICS TECHNOLOGIES

Designed and delivered end-to-end analytics solutions using Power BI, Azure, and SQL, building interactive dashboards with DAX, custom KPIs, drill-through reports, and role-level security to enable faster, data-driven decision-making. Engineered and optimized automated ETL pipelines using Azure Data Factory, Databricks (PySpark), and SSIS, reducing processing time and improving data freshness. Managed scalable data storage solutions with Azure Data Lake, Delta Lake, and SQL warehouses, while implementing data governance, quality checks, and automated reporting to eliminate manual effort. Collaborated with cross-functional teams to translate business requirements into actionable insights, conducted advanced analysis across customer, product, and operations data, and delivered insights through visual storytelling. Applied best practices in software design and wrote optimized SQL and application code to ensure reliable, high-performance analytics systems.

May 2025 – Present | Edison, NJ, USA

Data Engineer Intern

SUCCESS RATE INC

Built scalable RESTful APIs and event-driven data pipelines to support secure analytics and real-time processing. Developed automated ETL workflows, optimized SQL and NoSQL data models, and deployed cloud-native infrastructure using containerization and IaC. Focused on performance, security, and reliability to deliver modern, scalable data platforms.

Jan 2022 – Sep 2022 | Chennai, India

Business Intelligence Analyst

ICT

Consolidated and transformed data from SQL Server, Excel, and CSV using Power Query and advanced SQL to support BI workflows. Built Power BI dashboards with DAX-based KPIs, drill-downs, and trend analysis, and automated refreshes via Power BI Service and SQL Agent, reducing manual effort by 20%. Optimized data models for faster queries while strengthening BI governance and documentation.

Academic

Education

SHU Logo

Master of Science

Data Science and Engineering

Sacred Heart University, USA

Jan 2024 - Mar 2025 | GPA: 3.92/4

UPE Honor Society
SSE Logo

Bachelor of Technology

Computer Science and Engineering

Saveetha School Of Engineering, India

Aug 2019 - May 2023 | Grade: 9.7/10

Professional

Skills

LANGUAGES

C
R
Python
Java

MACHINE LEARNING

Numpy
Jupyter
NLP
Pandas
Regression
Classification
Scikit

DEPLOYMENT & OPS

Azure
FastAPI
Flask

DATABASE & DATA

Mongo
SQL
SAP
SQSL

WEB TECHNOLOGIES

HTML
CSS
JS
React

ANALYTICS & PLATFORMS ECOSYSTEM

Visualization

Tableau
Matplotlib
PowerBI
Data Arch

Platforms

Linux
Ubuntu
Windows

Cloud & Big Data

Azure Dev
Databricks
MS Azure

ETL & DE

ETL
Modeling
Transform

Explore My

Projects

i I designed a company Management System with Mongo DB

Adaptable Company Management System with MongoDB

Developed a company management system using Flask and MongoDB Atlas with secure authentication, RESTful APIs, CRUD operations, and automated leave tracking, delivering an efficient, database-driven web application with a smooth user experience.

Github Repository →
Company Management System with MongoDB - Flask web application

Exploring Sentiment Towards a 10-Year Minimum Occupation Period in Prime Location Housing (PLH) Model

Performed sentiment analysis on public reactions to Singapore’s Prime Location Housing (PLH) Model using web-scraped data, applying NLP techniques with TextBlob to assess polarity and subjectivity, revealing an overall positive sentiment and strengthening skills in Python, web scraping, and NLP.

Github Repository →
Sentiment Analysis on Singapore Housing - NLP project with Python
IEEE Conference Paper

Accurate prediction of student performance in online education during COVID using Machine Learning and Deep Learning Algorithms

Built an ML/DL-based predictive analytics system to forecast student performance in online education during COVID-19 by integrating multi-platform data, enabling personalized interventions and improved learning adaptability. Skills: ML, DL, Python, MySQL, Data Analytics, Strategic Planning.

View Conference Paper →
Student Performance Prediction - Machine Learning project
ICT Academy

Enterprise Data Migration and Analytics Pipeline

Built a scalable Azure-based data migration and analytics pipeline, migrating legacy databases to Azure SQL, optimizing ETL with Azure Data Factory and PySpark, and delivering Power BI dashboards for actionable insights while ensuring zero data loss and governance-aligned architecture.

view →
Food Delivery App
ICICT

Northeastern United States traffic accident trends: a geospatial and statistical analysis using python

Analyzed traffic accident trends in the northeastern U.S., with a focus on Connecticut and neighboring states, using statistical modeling and geospatial analysis. Identified higher rates of speeding and alcohol-impaired driving in Connecticut, contributing to above-average insurance premiums, and provided insights to support targeted road safety policies.

Report →
Residential App
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