Power Bi Project Management

MEHUL ANUPAM HIVLEKAR

EDUCATION

Dallas, TX • 682-***-**** •***************@*****.*** • https://www.linkedin.com/in/mehul-hivlekar •

Master of Science in Information Systems, University of Texas at Arlington Aug 2022 - May 2024

Graduate Certificate: Business Analytics

Courses: Data Mining, Cloud Computing, Project Management, Data Warehousing, Statistics, System Design, Web Analytics.

B. Tech in Mechanical Engineering, SRM University Jul 2015 - May 2019

SKILLS

Data Analysis Tools: Tableau (Dashboards), Power BI, Excel Macros, Power Pivot, SAS, Microsoft SQL Server, Alteryx (core designer), Visio.

Other Tools : Python, Smartsheet, AWS, SharePoint, MS Project, Zendesk, JIRA.

Programming Languages: Python, Oracle SQL, SQL.

Experience with : DAX Functions, Microsoft PowerPoint, M365, Technical Documentation, Microsoft Azure, Requirements Gathering.

Certifications: Power BI Data Modeling with DAX, Generative AI: Introduction to LLMs, Customer Analytics

EXPERIENCE

Genpact Mar 2022 – Aug 2022

Implementation Manager

Led end to end client implementation of Highradius SAAS product like 'CashApp' and 'Collections' modules for B2B clients, enhancing efficiency by 80% and reducing DSO by 40% for clients like WorldWide Express, Intuitive Surgicals and Unilever.

Analyzed client data to provide data-driven insights and support pricing decisions based on requirements .

Designed and implemented automated collection processes tailored to each client's specific collection strategy and payment terms.

Highradius Jan 2021 – Jan 2022

Solutions Architect

●Led the design and deployment of order to cash solutions tailored to the specific needs of enterprise clients, including supply chain management and accounts payable optimization.

●Worked directly with C-level executives to align account receivables solutions with business objectives, enhancing value delivery and client satisfaction.

Highradius

Functional Consultant May 2019 - Jan 2021

Executed full-cycle implementation of SAAS products, including running client-facing workshops to gather requirements, conducting UAT, and managing deployment.

Achieved significant automation in accounts receivable processes, improving cash flow management for clients

Utilized SQL data processing and analysis to identify bottlenecks in the business process and communicate process insights clearly and concisely to non-technical stakeholders.

PROJECTS

VR Headset Performance Analysis Challenge – UTA Hackathon Winner (Python,SQL, EDA)

Led a project utilizing Python, SciPy, Matplotlib, Seaborn, and Scikit-Learn to analyze VR usage across demographics. Employed K-means clustering and association rule mining for user segmentation and pattern discovery, enhancing VR experiences by optimizing for motion sickness susceptibility and immersion levels.

Generative AI based Review insights generator(2nd in Analytics Competition): (Python, Streamlit, Selenium, Beautiful Soup, OpenAI API, FAISS, Huggingface)

Developed an airport reviews monitoring application integrating generative AI and Natural Language Processing, automating the extraction of insights and reducing cost for extraction by 70% while maintaining 97% data quality. Implemented Huggingface embeddings for text vectorization and FAISS for similarity search, providing stakeholders with actionable intelligence on consumer sentiments and preferences.

Disneyland Visitor Sentiment Analysis and Business Insight Discovery: (Python, Orange, Power BI)

Executed an NLP-driven sentiment analysis of Disneyland reviews using a 42,656-records dataset, employing VADER (Lexicon) for emotion scoring and LDA for topic modeling and analyzed word clouds for in depth insights and business decision making. Predicted Customer churn, leveraging media industry expertise and marketing mathematics.

Data Analysis and Visualization for Enhancing Telemarketing Campaign Effectiveness: (Python, SAS EM, Tableau)

Utilized data mining techniques such as Logistic Regression, Decision Tree analysis, and Feature Selection to optimize telemarketing campaigns. Conducted Exploratory Data Analysis (EDA) to identify key customer demographics and transaction patterns, resulting in a significant increase in positive response rates. Developed interactive dashboards using Power BI and Alteryx to visualize customer behavior, enabling precise targeting of high-potential customers.

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