Data Analyst Entry-Level

Sai Salunkhe

856-***-**** ************@*****.*** LinkedIn

Strategic and forward-thinking Data Analyst with 3+ years of experience driving innovation at the intersection of analytics, automation, and AI. Adept at translating complex business challenges into scalable, data-driven solutions by seamlessly connecting functional needs with technical execution. Proven track record in transforming processes through intelligent automation, NLP, and dynamic data pipelines. Expert in Python, SQL, and Power BI, with deep experience optimizing performance across enterprise systems, AI initiatives, and university-wide digital transformation projects. Known for delivering insights that power smarter decisions and measurable impact.

EDUCATION

Rutgers, The State University of New Jersey, USA MS, Business Analytics Sept 2022 – Dec 2023 Savitribai Phule Pune University, India BE, Computer Science Aug 2017 – Jul 2021 PROFESSIONAL EXPERIENCE

Data Analyst Cantonica New York, NY – Remote Mar 2024 – Present

• Built scalable ETL pipelines using Airflow and Python to ingest behavioral and web metrics data, reducing latency by 40%.

• Developed Snowflake-based data models to enhance analytics and reporting capabilities across user behavior datasets.

• Conducted NLP-based sentiment analysis on 10K+ reviews, integrating insights into ranking algorithms to increase engagement.

• Built dynamic Power BI dashboards by region, category, and device, improving decision-making across product teams.

• Led Agile ceremonies and translated business needs into user stories and acceptance criteria using Jira. Functional Data Analyst Rutgers University Camden, New Jersey Sept 2022 – Dec 2023

• Analyzed administrative processes by identifying automation opportunities using Microsoft Copilot and AI tools.

• Documented functional requirements and user stories while coordinating AI implementation with technical teams.

• Performed Python and SQL-based analysis to improve processes, reducing manual efforts by 20%.

• Led training sessions and created instructional materials to support adoption of AI-enabled tools.

• Defined test strategies and supported UAT to ensure smooth integration of new processes into enterprise systems. Data Analyst Intern Boston Scientific Pune, India May 2023 – Aug 2023

• Conducted extensive data visualization and eye-tracking studies with over 200 participants and conducted 30+ user testing sessions involving 300+ individuals, applying statistical methods that achieved a 15% improvement in medical device UI usability.

• Leveraged Power BI for comprehensive user interaction data analysis, that informed 40% of strategic decisions.

• Collaborated with UX designers and product teams to translate research findings into actionable design enhancements, improving overall user satisfaction and engagement.

Data Analyst Magnum Automotive Industries Pune, India Jul 2021 – Jul 2022

• Streamlined ERP workflows using SQL and SSIS, reducing procurement order processing time by 10%.

• Built Power BI dashboards to monitor supplier lead times and inventory turnover, reducing stockouts by 18%.

• Created Python-based forecasting models for 30+ suppliers, cutting excess inventory by 15%.

• Translated procurement and operations requirements into solutions to improve decision-making and vendor performance. ACADEMIC PROJECTS

GAP Inc. Omnichannel Loyalty Program Salesforce CRM, SQL, Tableau, Python Jan 2023 – Apr 2023

• Migrated 8M+ customer profiles to Salesforce CRM, resolving data silos and enabling unified tracking.

• Built a Python-based churn prediction model, reducing attrition by 15% via targeted campaigns.

• Executed RFM segmentation to boost email CTR by 25% through personalized outreach.

• Analyzed campaign performance and reallocated 30% of the budget to high-ROI channels.

• Built a Tableau dashboard tracking real-time customer touchpoints, that boosted omnichannel conversion rates by 18%. Regional Healthcare Network Salesforce Health Cloud, SQL, Python, Tableau, NLP Sept 2023 – Dec 2023

• Integrated 3.5M+ patient records into Salesforce Health Cloud to unify tracking across services.

• Leveraged NLP and SQL to analyze 20K+ feedback entries, identifying sentiment and care quality themes.

• Built a churn prediction model that decreased disengagement among chronic care patients by 17%.

• Designed Tableau dashboards for real-time engagement insights, increasing outreach effectiveness by 28%. SKILLS, CERTIFICATIONS AND EXTRA CURRICULUM

Certifications: AWS Certified Cloud Practitioner, Google Data Analytics Professional Programming Language: Python (Pandas, NumPy, Matplotlib, Seaborn), R, SQL, CSS, HTML, PySpark Software & Analysis Tools: Power BI (DAX), Tableau, Google Analytics, GitHub, Alteryx, Eclipse, Looker, Excel VBA Data Engineering/ELT/ETL: ETL Pipelines, Talend, Snowflake, Apache Spark, Hive, Amazon Kinesis, Apache Kafka Databases: MySQL, Google BigQuery, MongoDB, SAP HANA, PostgreSQL, T-SQL Cloud/ML: AWS (Redshift, Lambda, Glue, S3, EC2), Docker, Scikit-learn Project and Risk Management: Jira, MS Excel, Microsoft Office 365, Compliance, IT Audit, SOX, Governance

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