Machine Learning Data Analytics

Kshitij Dnyaneshwar Waghdhare

Tempe, AZ, USA 623-***-**** ****************@*****.*** www.linkedin.com/in/kshitij-waghdhare-658776149 CAREER SUMMARY

Highly analytical Business/Data Analyst with 3+ years of experience in financial data analysis, reconciliation, and project management. Proficient in translating complex data into actionable insights for senior management reporting. Skilled in managing tight deadlines, collaborating with cross-functional teams, and implementing process improvements in fast-paced environments. Adept at leveraging statistical techniques, machine learning algorithms, and data visualization tools to support decision-making and optimize business performance.

EDUCATION

W. P. Carey School of Business, Arizona State University August 2023 – May 2024 Master of Science in Business Analytics Tempe, Arizona Relevant Coursework: Descriptive and Predictive Analytics, Python for Data Analytics, Enterprise Data Analytics, Analytical Decision Modelling, Business Process Analytics, Machine Learning in Business, Unstructured Data Analytics, AI and Data Analytics Strategy. St. Vincent Pallotti College of Engineering and Technology July 2016 – November 2020 Bachelor of Engineering, Major: Mechanical Engineering Nagpur, India Relevant Coursework: RDBMS, C Programming, Operational Research, Industrial Economics, Applied Mathematics. PROFESSIONAL EXPERIENCE

Business Analyst (Capstone) January 2024 – May 2024 APL Logistics Tempe, Arizona

Conducted financial data profiling and reconciliation, enabling the prediction of transportation costs with 81% accuracy using machine learning models (Random Forest, Gradient Boosting, Neural Networks).

Collaborated with cross-functional teams to identify 15% cost optimization opportunities through vendor benchmarking analysis.

Streamlined supply chain operations by implementing data-driven decision-making tools using Python, MySQL, and Tableau, leading to operational efficiency improvements.

System Engineer (Analyst Responsibilities) May 2022 – July 2023 Tata Consultancy Services Nagpur, India

Led the development of the "Comprehensive Financial Management System (CFMS)" for improved financial reporting and reconciliation processes, resulting in a 30% enhancement in system functionality.

Analyzed data flows and collaborated with business teams to assess new data requirements, translating them into actionable business and technical specifications.

Managed project timelines, coordinated with Dev teams, and implemented agile methodologies, improving project delivery and issue resolution by 35%.

Supplier Quality Analyst February 2021 – February 2022 Bosch Limited Nashik, India

Executed data analysis and reconciliation processes to reduce defective parts by 15%, resulting in substantial cost savings through process optimization.

Utilized advanced data analysis techniques (PFMEA, SPC, Power BI) for supplier performance management, improving operational efficiency and compliance with quality standards.

PROJECT EXPERIENCE

Revenue Optimization for Valley Metro's Transit System December 2024 – January 2024

Developed a fare pricing model aligned with demand and passenger preferences, leading to a 10% increase in revenue for Valley Metro's transit system.

Conducted data analysis using the 2023 Annual Ridership Report and implemented the model in Excel to optimize pricing strategies. Restaurant Revenue Prediction, Yelp November 2023 – December 2023

Leveraged ensemble modeling techniques, including one-layer stacking with Random Forest, and Support Vector Machines.

Applied predictive analytics on a 60K dataset to achieve 84% accuracy in annual sales predictions.

Enhanced model performance by 12% through innovative model combination strategies. Lean Six Sigma Optimization of Gentech's Proposal Creation Process October 2023 – November 2023

Led a Lean Six Sigma project to enhance Gentech's proposal creation process, increasing SLA compliance from 72.32% to 90%.

Conducted data-driven analysis using DMAIC methodology, identifying root causes of inefficiencies and implementing solutions to reduce cycle times by 15%.

SKILLS & ACTIVITIES

Technical Skills: Python, R Studio, MySQL, Tableau, Advanced Excel, Power BI, AWS, PySpark, C, Angular, JavaScript, HTML, CSS.

Data Analysis Tools: Data Profiling, Reconciliation, Statistical Modeling, Data Visualization, Machine Learning Algorithms.

Certifications: Lean Six Sigma Green Belt, ANAPLAN Model Builder, Power BI for Business Intelligence, Microsoft Business Analytics Fundamentals, Google Data Analytics Fundamental, 8D Problem Solving, React JS and Redux.

Project Management: Agile Methodologies, Timelines Management, Process Improvement, Cross-functional Collaboration.

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