JESWANTH ADARI
774-***-**** **************@*****.*** LinkedIn Profile Portfolio
SUMMARY
Detail-oriented Business and Data Analyst with a strong foundation in finance systems, SQL, and automation, experienced in translating business requirements into efficient technical solutions. Adept at streamlining reporting workflows, developing dashboards, and collaborating cross-functionally to improve decision-making processes. Passionate about leveraging data and technology to optimize operational efficiency and support financial growth. EDUCATION:
• Worcester Polytechnic Institute (WPI), Worcester, MA (August 2023 – May 2025) Master of Science in Business Analytics, GPA 3.7/4.0
• Gayatri Vidya Parishad (GVP), Andhra Pradesh, India (June 2017 – June 2021) Bachelor of Science in Computer Science
Technical Skills & Tools:
• Languages & Tools: SQL (Snowflake, Redshift, MySQL), Python (Pandas, NumPy, Matplotlib, Seaborn), R
• Visualization & Reporting: Tableau, Power BI, Looker Studio, Excel (Advanced), Google Data Studio
• CRM & GTM Systems: Salesforce, HubSpot, Marketo, Outreach, Gainsight
• Cloud Platforms: AWS, Azure, Databricks, BigQuery, dbt, Airflow
• Analytics Expertise: Revenue Forecasting, Sales Funnel Analytics, Pipeline Modeling, Cohort & Churn Analysis, Market Segmentation, A/B Testing, Experiment Design
• Soft Skills: Business Storytelling, Stakeholder Management, Cross-Functional Collaboration, Agile Execution, Strategic Problem Solving
EXPERIENCE
GTM Data Analyst Voda.ai – Boston, MA Jun 2025 – August 2025
• Partnered with Finance, Sales, and Operations teams to automate reporting workflows using SQL and Power BI.
• Designed a finance health dashboard integrating cost metrics, revenue streams, and operational KPIs — improved executive visibility by 40%.
• Collaborated with engineering teams to enhance data pipelines, ensuring accuracy and completeness of real- time performance data.
• Led documentation and change management for new dashboard releases, ensuring adoption across departments.
• Collaborated with Sales Ops and Marketing teams to refine reporting pipelines and ensure alignment on metrics.
Data Analyst Intern Re-Volt Charging – Boston, MA Jan 2025 – May 2025
• Developed Power BI dashboards visualizing EV charger placement efficiency across 200+ MA locations.
• Performed financial analysis on cost-benefit of charger installations to support strategic partnerships.
• Leveraged SQL and Python to aggregate traffic and demographic datasets, improving investment recommendations by 25%.
• Created data-driven reports for business development, influencing 5 new MOU signings across Massachusetts. Graduate Assistant – Data Analytics The Business School, WPI – Worcester, MA Oct 2023 – May 2024
• Built SQL-powered operational dashboards monitoring compliance, student utilization.
• Conducted data quality audits and implemented governance standards that reduced reporting discrepancies
• Trained staff in self-service BI tools (Tableau, Power BI) to promote adoption and data-driven culture. Data Analyst Trainee Andhra Pradesh, India Feb 2022 – Jul 2023
• Designed and deployed Tableau dashboards for operational KPIs and compliance metrics, now widely adopted across business units.
• Wrote optimized SQL queries and stored procedures to handle large relational datasets, cutting reporting lag
• Mentored junior analysts on BI and SQL practices, fostering a more standardized analytics approach. PROJECTS:
HR Analytics Dashboard Tableau Interactive Tableau Dashboard GitHub Repo
• Designed an interactive dashboard visualizing workforce turnover and diversity.
• Conducted statistical analysis to uncover attrition drivers; recommended retention strategies that cut attrition
• Built monitoring and logging framework, and documented processes in HLD/LLD + runbooks. Transaction Monitoring & Anomaly Detection SQL + Python (Isolation Forest)
• Processed 500K+ financial transactions to flag outliers and fraud patterns, improving compliance
• Automated anomaly alerts through Python scripts and developed interactive Tableau dashboards segmented by geography and transaction type.