Data Analyst Resume

Candidate Pitch:

Results-driven Data Analyst with over 3 years of hands-on experience in healthcare, finance, and retail domains. Skilled in extracting actionable insights from complex datasets to drive strategic business decisions. Proficient in tools and technologies such as SQL, Excel, Python, Power BI, Tableau, and SAP. Adept at working in Agile environments, building performance dashboards, conducting A/B testing, and collaborating with cross-functional teams. Passionate about leveraging data science, statistical modeling, and machine learning to optimize business performance and improve operational efficiency. Seeking a challenging opportunity to contribute analytical expertise and domain knowledge toward impactful, data-driven outcomes in a forward-thinking organization. Data Analyst | Infotech Global Inc. | New Jersey, USA | Nov 2022 – Apr 2024 Analyzed large-scale healthcare datasets to extract meaningful insights and trends. Developed dynamic dashboards using Power BI and Tableau to visualize KPIs, boosting executive decision-making. Used SQL to write complex queries for data extraction, manipulation, and validation across multiple systems. Collaborated with cross-functional teams to understand reporting needs and developed automated reports to reduce manual workload by 40%. Conducted data profiling and validation to improve data quality and ensure compliance with HIPAA standards. Supported ad hoc reporting and delivered data-driven recommendations to optimize patient care strategies. Business Analyst Intern | Healthfirst | New York, USA | Jan 2022 – Jul 2022 Worked closely with product and operations teams in Agile environment to translate business requirements into functional specifications. Conducted JAD sessions and created detailed process flow diagrams and use cases. Supported the creation of dashboards and reports to evaluate call center operations and member engagement metrics. Collaborated with developers and QA teams to ensure data accuracy during UAT testing cycles. Performed gap analysis and root cause analysis to identify process inefficiencies and proposed data-driven solutions. Business/Data Analyst | Accenture | Hyderabad, India | Aug 2019 – Dec 2021 Conducted end-to-end analysis of retail and financial datasets to support client strategy and operations. Developed and maintained reports using Excel, SQL, and Tableau to monitor performance metrics and track operational KPIs. Partnered with global stakeholders to gather business requirements and translate them into clear reporting deliverables. Automated reporting processes, reducing turnaround time by 50% and increasing data reliability. Conducted customer segmentation and behavior analysis, improving targeted marketing effectiveness. Assisted in financial forecasting and churn prediction using regression models and time-series techniques in Python. Academic Research Projects | Florida State University | USA | 2021 – 2022 Customer Churn Prediction Model: Used Python, pandas, and scikit-learn to build a logistic regression and random forest model predicting customer churn in a telecom dataset with 82% accuracy. Sales Forecasting: Applied ARIMA and Prophet models to perform time series forecasting on a retail sales dataset. CLTV Analysis: Developed a customer lifetime value model using Pareto/NBD and BG/NBD techniques. EDA & Visualization: Conducted exploratory data analysis and data cleaning on healthcare claims data and visualized findings using Tableau and Seaborn. Master of Science (M.S.) in Data Science Florida State University – Tallahassee, FL, USA Graduated: May 2023 Relevant Coursework: Machine Learning, Data Visualization, Statistical Inference, Time Series Analysis, Data Mining, Big Data Analytics, and Predictive Modeling Projects: Customer Churn Prediction: Built and evaluated classification models using Python and scikit-learn. CLTV Modeling: Applied probabilistic modeling and regression techniques to predict customer lifetime value. Sales Forecasting with Time Series: Implemented ARIMA, Exponential Smoothing, and Prophet models for revenue forecasting. Bachelor of Technology (B.Tech) in Electronics and Communication Engineering Jawaharlal Nehru Technological University – Hyderabad, India Graduated: May 2019 Relevant Skills Developed: Problem-solving, logical thinking, statistical reasoning, and analytical modeling. Capstone Project: Developed an IoT-based sensor system for environmental monitoring, applying basic data logging and analytics for performance insights. Member – Data Science Society, Florida State University Participated in peer-led workshops and data hackathons focused on Python, machine learning, and predictive analytics. Member – Women in Data Science (WiDS) Worldwide Engaged in knowledge-sharing forums, webinars, and events promoting women’s contributions in the data science field. Member – LinkedIn Groups Focused on OPT Hiring & Analytics Careers Active in communities such as “OPT, CPT, H1B, GC, Citizen Jobs in USA,” “Data Science & Analytics Careers,” and “Data Analysts & Business Intelligence Network.” Data Analysis & Reporting: SQL (Advanced), Excel (VLOOKUP, Pivot Tables, Power Query), Power BI, Tableau, Data Validation, KPI Dashboards, A/B Testing Programming & Scripting: Python (Pandas, NumPy, Matplotlib, Scikit-learn), R (Basic), Shell Scripting (Basics) Database & Tools: SQL Server, MySQL, SAP HANA, Snowflake (Basics), MS Access Statistical Methods & Modeling: Descriptive & Inferential Statistics, Hypothesis Testing, Linear/Logistic Regression, Time Series Forecasting, Clustering, Classification Machine Learning (Beginner to Intermediate): Scikit-learn, Jupyter Notebooks, Supervised & Unsupervised Learning, Model Evaluation Data Engineering Concepts: ETL Concepts, Data Cleaning, Data Merging, Data Normalization, Exploratory Data Analysis (EDA) Business & Domain Knowledge: Healthcare Claims & Eligibility, Financial Reporting, Retail Sales Analytics, Marketing Attribution Collaboration & Agile Workflow: JIRA, Confluence, SDLC, Agile/Scrum Methodologies, User Story Documentation, Cross-functional Team Communication Soft Skills: Analytical Thinking, Problem-Solving, Attention to Detail, Stakeholder Communication, Adaptability, Time Management Work Authorization: Authorized to work in the United States without the need for employer sponsorship (F1 OPT with STEM extension eligibility). Availability: Open to full-time roles with immediate or short notice availability. Remote & Onsite Flexibility: Comfortable with remote, hybrid, or onsite work arrangements. Certifications: 1.AWS Academy Graduate - AWS Academy Machine Learning. 2.AWS Academy Graduate - AWS Academy Machine Cloud Foundations. Hackathons & Projects: Participated in university data competitions and completed capstone projects focused on churn prediction, customer segmentation, and healthcare cost analysis. Languages: English (Fluent), Telugu & Hindi (Native) Interests: Data visualization, AI for healthcare, public health policy, emerging data ethics LinkedIn Profile: linkedin.com/in/shirishahechirla N/A