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Data Analyt

Location:
Malden, MA
Salary:
100,000
Posted:
December 05, 2024

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Resume:

DARSHANA RAJPUT

*******@**.*** +1-781-***-**** Boston. USA LinkedIn profile GitHub

Education Background

Master of Science in Applied Data Analytics, Boston University, Boston Expected by Dec 2024 Relevant Coursework: Advanced Data Analytics, Machine Learning, Predictive Modeling, Data Visualization, Business Intelligence B. Tech in Computer Science and Engineering, NMIMS, Mumbai, India Jul 2017 to Aug 2021 Relevant Coursework: Data Structures & Algorithms, Database Management Systems, Cloud Computing, Software Engineering Skills

• Stakeholder Management & Soft Skills Excellent communication and collaboration skills, with expertise in stakeholder management and risk management, fostering a culture of continuous improvement, innovation, and accountability.

• Business Analysis & Stakeholder Management Skilled in project documentation, requirement gathering, and translating business needs into actionable project requirements. Expertise in stakeholder engagement, ensuring effective collaboration.

• Results-Oriented & Detail-Oriented Ability to work with complex datasets, deliver strong analytical and problem-solving skills.

• Project Management & Organizational Skills Expert in Microsoft Project, Slack, Tableau, Power BI, JIRA, Dropbox

• Advanced Excel & Reporting Skilled in Excel, PowerPoint and Microsoft Office

• Data Manipulation and Processing Proficient in SQL, Python (Pandas, NumPy), and R for data querying, cleaning, and EDA, ensuring high-quality data for decision-making and predictive models and SDLC. Professional Experience

Capgemini, India Mar 2022 to Mar 2023

Data Analyst

• Translated customer needs into structured project requirements, leading to a 30% improvement in data-driven decision-making in healthcare processes through effective stakeholder analysis and collaboration.

• Executed business analysis and project management practices, supporting strategic initiatives that increased healthcare technology market share by 30% and optimizing enterprise data architecture for more efficient workflows. Led analytics projects from inception to completion, documenting requirements and managing system integration, which boosted operational flow by 25% through alignment with stakeholder needs. Innodata, India Jul 2019 to Jan 2022

Business Analyst I

• Led cross-functional teams in agile project environments, integrating customer requirements into enterprise-level solutions, resulting in a 20% faster delivery flow and improved stakeholder satisfaction.

• Developed and documented strategic roadmaps and technical project specifications, fostering clear communication with stakeholders and improving product alignment with business goals by 15%.

• Utilized strong communication skills to gather, refine, and write product requirements, ensuring project clarity and driving successful project outcomes.

Projects

Customer Churn Analysis and Prediction Model Jan 2024 to Apr 2024

• Analyzed a dataset using SQL and Python to identify patterns influencing customer churn, leading to targeted retention strategies.

• Developed and validated predictive models (Logistic Regression, Decision Trees, Gradient Boosting) with 85% accuracy.

• Delivered insights into management, resulting in a 15% reduction in churn rates over the subsequent quarter, significantly enhancing customer retention efforts.

Depressive Disorder Prediction Model Aug 2023 to Dec 2023

• Preprocessed a 5,000-row dataset using Python and Excel, improving data quality for accurate model development.

• Applied feature selection methods (CFS, Boruta) to reduce dimensionality and enhance model performance.

• Built 36 models, achieving 80% accuracy with Random Forest, improving predictive reliability and detecting overfitting. Blood Bank Organization Project Sep 2023 to Dec 2023

• Cleaned and preprocessed 10,000+ donation records using Python (Pandas, NumPy), improving data quality by 30% for more accurate analysis and model outcomes.

• Developed machine learning models (Random Forest, Decision Trees), achieving 85% accuracy in predicting donor eligibility, enhancing targeting strategies for outreach.

• Designed dynamic dashboards in Power BI and Tableau, visualizing trends and improving donor retention by 15%, enabling data driven decision-making for blood donation campaigns. Certificates & Badges

• AWS Cloud Practitioner CLF-CO2

• CCNA (Cisco Certified Network Associate)



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