Data & Analytics Professional - SQL, Python, Tableau Expert

Sunil Purswani

********.**@************.*** +1-617-***-**** LinkedIn Portfolio

PROFILE SUMMARY

Data & Business Analytics professional with 5+ years of experience driving data-driven decision-making across finance, operations, and technology teams. Skilled in SQL, Python, data modeling, dashboard development, and stakeholder collaboration. Experienced in translating business requirements into scalable analytics solutions and leading cross-functional initiatives from analysis through implementation. Strong foundation in project management, KPI tracking, and process optimization. PROFESSIONAL EXPERIENCE

Analyst Intern – Ipserlab LLC Boston, USA Jan 2025 – June 2025

• Developed a Python-based forecasting model to analyze user growth, engagement, and subscription metrics for a SaaS product (Uncovergem).

• Gathered business requirements from product team and translated them into scalable analytical models and reporting structures.

• Built structured datasets from raw application and subscription data, implementing data cleaning, transformation, and validation processes.

• Performed EDA on user and quiz interaction data and created reports to identify engagement patterns and translated insights into recommendations for improving pricing, retention, and product design.

• Developed predictive models using time-series and regression techniques to identify trends and support data-informed decision-making.

• Automated reporting and data transformation processes, increasing reporting efficiency by 25%. Sales Analyst – HDFC Life Indore, India May 2021 – Aug 2023

• Managed and analyzed a portfolio of 500+ customers, leveraging data to generate sales insights and identifying cross-sell opportunities improving overall sales performance.

• Developed and maintained Tableau dashboards to assess customer portfolios, monitor AML and sales trends reducing reporting time by 30%.

• Delivered key data insights and B2B market analysis to executives and cross-functional teams, enabling evidence-based decision-making.

• Led cross-functional coordination across branch managers, compliance teams, and analytics stakeholders to ensure alignment of reporting solutions with regulatory and business objectives.

• Improved data reliability and reporting efficiency through structured data validation and governance practices. Project Coordinator – Web Craft IT Indore, India April 2018 – May 2019

• Coordinated over 5 major projects across product and technical teams using Agile and Scrum, delivering CRM and web solutions to clients timely.

• Optimized lead generation and marketing workflows supporting higher client utilization of CRM and digital solutions.

• Built and maintained high-value client relationships, providing proactive, data-backed recommendations, and maintaining satisfaction with 90% retention rate.

ACADEMIC PROJECTS

Intelligent Stock Market Insight Agents MIT – Project NANDA Sep 2025 – Dec 2025

• Designed and deployed an Intelligent Financial Advisory System using multi-agent AI based on the MIT Media Lab’s NANDA framework, enabling autonomous agents to collaborate on financial analysis and decision-making.

• Implemented the stock advisor agent capable of handling natural-language financial queries with use of NLP, integrating Model Context Protocol

(MCP) and the yfinance API to collect, analyze, and share real-time market insights, and using Agent-to-Agent (A2A) communication with a dedicated Risk Assessment agent.

• Deployed the system on cloud infrastructure (Linode by Akamai) with agent registration, discovery, and interoperability, and built a web interface to make complex financial analysis accessible through conversation. Data Analytics & AI Project with Traxidy Northeastern University XN Project July 2025 – Sep 2025

• Analyzed and Structured 50,000+ project tasks across 76 SQL tables given by sponsor company to perform EDA on project status, risk distribution, task completion patterns, and customer segmentation.

• Designed an operational analytics dashboard using Tableau, visualizing project risk levels, task prioritization, milestones, and workload trends to help project managers focus on high-risk and high-priority tasks.

• Designed data transformation workflows and schema mapping to support analytics modelling.

• Applied clustering techniques and ARIMA time-series forecasting to segment projects by risk and predict project timelines, supporting proactive resource planning and reduced project delays.

• Collaborated with sponsor organization and academic team to translate operational challenges into technical analytics solutions. CMS Claims Data Warehousing Project Northeastern University Project April 2025 – June 2025

• Designed a scalable healthcare data warehouse in MySQL integrating 3 major claim tables (inpatient, outpatient, and prescription) for multi-level cost and utilization analysis.

• Cleaned and transformed 60K+ CMS Synthetic Claims records in R to structure beneficiary, provider, and prescription insights for analytical use.

• Built ETL workflows and interactive R-Shiny dashboards to visualize claims, inpatient costs, reimbursement trends, and demographic patterns improving analytical visibility by 40%.

TECHNICAL SKILLS

Programming & Databases: Python, R, MySQL, SQLite, PostgreSQL. Analytics & Visualization: Data Analysis, Machine Learning, Tableau, Power BI, SAS, Google Data Studio, MS Excel. Big Data & Cloud: Hadoop, Apache Spark, AWS, Microsoft Azure, Akamai Linode. AI & Automation: Generative & Agentic AI, ETL, Data Warehousing, KPI Optimization. Tools: GitHub, Jupyter Notebook, RStudio, VS Code, Microsoft Office, Jira, Confluence. Business & Project Management: Technical Analysis, Financial Reporting, Project Management, Data Governance, Agile & Scrum Methodologies, Sprint Planning. BRD and Documentation.

EDUCATION

Northeastern University – MS in Analytics Sep 2023 – Dec 2025 Devi Ahilya University – MBA in Marketing Management July 2019 – Jun 2021 Rajiv Gandhi Technical University – BE in Electronics and Instrumentation May 2012 – Jun 2017

Contact this candidate