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Sushanth Reddy

@sushanthreddy2

Data Analyst at PTC who improved healthcare reporting turnaround by 25% with SQL and Python data pipelines.

At PTC, I built and optimized SQL and Python pipelines for healthcare datasets, improving data accuracy and reducing reporting turnaround time by 25%. I also used A/B testing and predictive models to help improve treatment adherence and outreach effectiveness.

Previously, I worked as a Data Analyst Intern at Citi and as a Data Analyst at Sigma Infosolutions and Zentek Infosoft. My work included customer segmentation, campaign forecasting, automated reporting, and financial analysis using SQL, Python, Excel, and BI tools.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

PTC

Jun 2025 - Present (1 year 4 months)

Built and optimized data pipelines using SQL and Python to process large healthcare datasets, improving data accuracy and reducing reporting turnaround time by 25%. Ran A/B tests and applied machine learning models to evaluate patient engagement strategies, improving treatment adherence by 12%.

SQL Python Pandas NumPy scikit learn A B Testing Machine Learning predictive modeling Statistical Analysis Data Validation Hypothesis Testing regression analysis Data Pipelines Automation

Data Analyst Intern

Citi

Jun 2024 - May 2025 (11 months)

Developed customer segmentation and predictive models using Python and SQL on financial datasets, improving targeting accuracy by 20%. Built forecasting models to predict customer behavior and revenue impact, enabling proactive decision-making.

Python Pandas NumPy scikit learn SQL Customer Segmentation predictive modeling Forecasting Time Series Statistical Analysis Hypothesis Testing Correlation Variance Analysis Dashboarding Excel

Data Analyst

Sigma Infosolutions

Jan 2021 - Jul 2022 (1 year 6 months)

Analyzed 150K+ pre- and post-campaign user records to build customer segmentation models, increasing campaign efficiency and reducing wasted spend. Automated web tracking and performance reports in Excel and Google Analytics, reducing manual reporting effort by 35%.

SQL Python Excel Google Analytics Customer Segmentation Campaign Analysis KPI Dashboards Pricing Models Conversion Rate Optimization

Data Analyst

Zentek Infosoft

Jan 2019 - Dec 2020 (1 year 11 months)

Executed ETL processes using SQL and Python for financial transactions, ensuring high data accuracy and integrity. Built financial models in Excel and Python, reducing operational expenses by 10% through accurate revenue trend forecasting.