Data professional with 2 years of experience in data analytics, machine learning, and building scalable data workflows. Proficient in Python, SQL, Tableau, and Power BI, with hands-on experience in data cleaning, automation, pipeline optimization, and dashboard development. Adept at partnering with cross-functional teams to translate business needs into actionable insights and support strategic decision-making.
Overview
2
2
years of professional experience
Work History
Data Analyst - Intern
Water Lens LLC
09.2025 - Current
Developed predictive modeling workflows using Python (XGBoost and ANN) with historical and operational data to predict 3 key water-quality parameters with 90% accuracy, improving data-driven decision-making and increasing sales outcomes by 8%.
Built a scalable pipeline using Azure Function App (Timer Trigger) to process live InfluxDB time-series data to execute predictive models. Automated infrastructure deployment via Terraform, enabling real-time visualization in Grafana using SQL query.
Integrated ML outputs into Power BI dashboards, for model monitoring, performance tracking, and operational insights for stakeholders.
Built an internal Streamlit application in Python to automate data validation and reporting processes, cutting manual errors by 10% and accelerating team productivity.
Software Engineer
Bosch Global Software Technology
09.2022 - 12.2023
Developed scalable data ingestion and preprocessing pipelines using Python, SQL Server and Pyspark to transform 10+ years of ECU operational, warranty, and regional data for machine learning applications.
Built and optimized advanced ML models-including Random Forest, Gradient Boosting (XGBoost) to predict ECU demand and fault occurrences, achieving up to 75% predictive accuracy and identifying 6 KPIs.
Designed interactive Tableau dashboards to visualize demand forecasts, fault risk patterns, and KPI impacts, enabling data-driven decision-making and improving ML insight adoption by 40%.
Developed an automated Python tool to collect and consolidate data from multiple sources, enabling seamless integration.
Collaborated with global teams and managed Git to align requirements and streamline reporting and optimization workflows.
Programmer Analyst Trainee -Intern
Cognizant Technology Solutions
02.2022 - 06.2022
Implemented ETL pipelines using Python and SQL to consolidate and preprocess large-scale user and operational data for analysis.
Developed Power BI dashboards with advanced visualizations and DAX measures to monitor KPIs and support data-driven decisions.
Performed exploratory data analysis and statistical modeling to uncover insights, optimize workflows, and improved platform engagement by 25%.
Education
Master of Science - Engineering Data Science
University of Houston
Houston, TX
12.2025
Bachelor of Engineering - Electrical and Electronics
Anna University
Chennai, India
05.2022
Skills
Python
Pandas
NumPy
Scikit-learn
Matplotlib
R
PySpark
MySQL
SQL Server
InfluxDB
Tableau
Power BI
Alteryx
Grafana
Excel
AWS
Lambda
S3
EC2
Glue
Azure
ADLS
ADF
Function App
Jupyter Notebook
VS Code
GitHub
Certification
Python for Machine Learning & Data Science Masterclass (Udemy)
SQL - MySQL for Data Analytics and Business Intelligence (Udemy)
Tableau A-Z: Hands-On Tableau Training for Data Science (Udemy)
Complete Guide to Power BI for Data Analysts (Udemy)