PAYAL SANJAY NAGAONKAR

**** ******** **, *** **, Boston, MA 02215

617-***-**** adz61z@r.postjobfree.com https://www.linkedin.com/in/payal-sanjay-nagaonkar-76b733188/ EDUCATION

Boston, MA

May 2024

Northeastern University

Master of Science in Software Engineering Systems

Courses: Data Analysis and Data Management, Web Development, Data Structure and Algorithms, Object Oriented Design Mumbai, India

August 2022

SIES Graduate School of Technology, Mumbai University Bachelor of Engineering in Electronics and Telecommunication PROFESSIONAL EXPERIENCE

BSA ENGINEERING DESIGN CONSULTANTS Mumbai, India

Data Scientist (Part-Time) April 2022 - August 2022

Orchestrated application of both supervised and unsupervised machine learning algorithms, amplifying infrastructure degradation predictions by 15% improving resource allocation by 20% through strategic data clustering

Implemented reinforcement and transfer learning techniques, boosting machinery efficiency by 12% and soil image analysis accuracy by 10%

Devised a convolutional neural network (CNN) model to analyze and classify satellite images of potential construction sites, achieving 95% accuracy

Managed a team of 5 data analysts, driving a 15% uptick in productivity and ensuring timely project completions

Conducted two comprehensive in-house training sessions, reinforcing team capabilities and implemented agile methodologies in data project cycles, enhancing project efficiency by 15% and ensuring timely delivery STEADFAST SOLUTION PARTNERS

Data & Business Analyst Intern (Internship)

Pune, India

April 2020 - January 2021

Developed 3+ Tableau dashboards, enhancing decision-making and contributing to a 20% improvement in production efficiency

Utilized MS Excel for trend forecasting, aiding in a 10% increase in future sales predictions accuracy

Executed complex SQL queries weekly, boosting data quality and accessibility for business verticals

Streamlined SSRS report integration, elevating real-time data retrieval efficiency by 30%

Championed a 15% uplift in operational efficiency by mapping and improving business processes

Led the analysis of feedback from 1,200 clients, escalating customer satisfaction by 25%, highlighting effective communication and leadership skills

TECHNICAL SKILLS

Languages & Frameworks: Python (Keras, Scikit-Learn, NumPy, Pandas), SQL (MySQL, PostgreSQL), Java ML & AI: Supervised & Unsupervised Learning, Deep Learning, Reinforcement Learning, Transfer Learning Big Data, Visualization & BI Tools: Tableau, Seaborn, MS Excel, Power BI, SSRS reporting, Spark, AWS Web Development & Tools: Git, GitHub, Docker, HTML, CSS, JavaScript, Streamlit, Flask Soft Skills: Strategic Decision Making, Leadership, Cross-functional Collaboration, Research & Publication ACADEMIC PROJECTS

Pizza Sales Analysis Project

(PostgreSQL, Power BI, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn) January 2023 - April 2023

Employed PostgreSQL to scrutinize a dataset of 10,000+ orders, unveiling pivotal sales patterns and insights

Formulated 20+ SQL queries, highlighting a top-selling pizza comprised 18% of sales

Identified lowest-selling items, cutting waste by 20% and boosting revenue by 10% within three months

Calculated total/average revenue, contributing to a 12% increase in operational efficiency From data to reporting: Development of customer complaint dashboard in tableau

(Pandas, NumPy), SQL, MySQL, Tableau

January 2023 - March 2023

Led processing and analysis of over 720,000 lines of raw complaint data annually, delivering reliable insights from 1.5 million data points for a major e-commerce client

Developed a dynamic Tableau dashboard, enabling real-time monitoring across 15 complaint categories and 50 states

Augmented customer support efficiency by 40%, leading to significant improvements in customer satisfaction and a 20% annual increase in customer retention

LEADERSHIP / AWARDS

• Awarded second best project proposal at Ideation technical event; prepared and presented a quick draft for Car ABS integrated with motion and vision sensors

• Ranked third in NIRMAN 2019 among intercollegiate participant teams for project proposal; envisioned a project draft for Campus Lunch Service for underprivileged students

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