Project Management Information Technology

Sri Nandini Dhulipala

****************@*****.*** +1-216-***-**** https://www.linkedin.com/in/sri-nandini-dhulipala-91a7641a4/

Data-driven professional with a Master’s in IT Management and a Bachelor’s in Chemical Engineering. Skilled in analytics, process optimization, and risk assessment to enhance efficiency and compliance. Adept at data visualization and technology integration to drive innovation and strategic decision-making.

Education

MS in Information Technology Management - Webster University, Missouri

BTech in Chemical Engineering - Gayatri Vidya Parishad College of Engineering, Visakhapatnam, India

Certifications & Key Skills

Data Analytics & Business Intelligence: SQL, R, Python, Tableau, Power BI, Excel (Pivot Tables, VLOOKUP), Regression Models, Hypothesis Testing

Process Optimization & Quality Management: Lean Six Sigma Foundations, Business Analytics with Excel, Process Safety Management

Project Management & Risk Mitigation: Project Management Foundations (Risk), Agile, Waterfall, Scrum, Business Impact Analysis

Data Management & Process Simulation: HYSYS, CHEMCAD, COMSOL, Data Extraction & Management, Workflow Optimization

Regulatory Compliance & Risk Control: OSHA, EPA, FDA, GMP Standards, Process Safety Management

Stakeholder Communication & Documentation: Requirement Gathering, Reporting, Compliance Audits

Analytical Techniques & Engineering: HPLC, GC-MS, UV-Vis Spectroscopy, Chemical Process Modeling

Professional Experience

Research Assistant- Gayatri Vidya Parishad College of Engineering, India May 2019 – Dec 2021

oOptimized nicotine sulfate extraction using data analytics, increasing yield from 78% to 91% while ensuring 99% purity through statistical validation and process optimization.

oApplied advanced analytical techniques (UV-Vis, HPLC, GC-MS) and statistical modeling (regression, trend analysis) to enhance extraction efficiency and ensure reproducibility.

oImproved research workflow by 30%, reducing experimental errors by 15% through data-driven process enhancements and leveraging Excel, Python, and R

Environmental Health & Safety Intern - Hindustan Unilever Limited, India April 2022 – June 2022

oConducted environmental audits and risk assessments to enhance workplace safety and ensure 100% compliance with OSHA, EPA, and GMP standards.

oAnalyzed safety data using Excel pivot tables and graphs to identify hazard trends, track incidents, and implement risk mitigation strategies.

oReduced workplace incidents by 25% and improved data-driven safety reporting accuracy by 30% through targeted corrective actions and compliance initiatives.

Academic Projects

Membrane Distillation for Wastewater Treatment

oResearched membrane distillation (MD) for wastewater treatment, optimizing thermal separation for improved energy efficiency.

oAnalyzed membrane performance and fouling effects using Python for data visualization, simulation, and statistical modeling.

oEnhanced process efficiency and water recovery, achieving a 30% improvement in research efficiency through automated data analysis.

Murder Motives Analysis Using R

oAnalyzed crime data trends across Indian states to identify key factors influencing murder motives using statistical modeling and data visualization. Identified contributing factors and improved predictive accuracy, providing data-driven insights for pattern recognition and policy recommendations.

oApplied multiple linear regression, data cleaning, and transformation in R to uncover crime patterns and develop predictive insights.

Chemical Components in Cosmetics – Python-Based Data Analysis

oAnalyzed chemical compositions in cosmetic products to assess safety and compliance with regulatory standards.

oUtilized Python (Pandas) to clean, visualize, and interpret large datasets, identifying trends in ingredient toxicity and formulation stability. Developed a predictive model to assess the impact of chemical compounds, improving product quality insights by 25%.

Bridging IT Management & Industrial Control Systems for Cybersecurity & Efficiency

oInvestigated the convergence of Information Technology Management (ITM) and Industrial Control Systems (ICS) to enhance cybersecurity and operational efficiency.

oIdentified key challenges, cybersecurity threats, and automation improvements by analyzing industry research and real-world case studies. evaluated cybersecurity risks (e.g., Triton attack, IEC 62443 adoption, IT-OT integration), and assessed the impact of security frameworks (NIST, SIEM) on industrial resilience.

oDeveloped strategic recommendations for predictive maintenance, cybersecurity risk mitigation, and compliance improvements, strengthening ICS resilience and operational stability.

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