Data Analyst Power Bi

PROFESSIONAL SUMMARY

Results-driven and detail-oriented Data Analyst with over 4 years of experience in leveraging data to drive informed business decisions. Expertise in data analysis, dashboard/report creation, and data visualization using SQL, Python, Power BI, and Tableau, statistical modeling, and data visualization across diverse industries. Adept at collecting, cleaning, and analyzing large datasets using tools such as SQL, Python, Excel, and Tableau to identify trends, optimize processes, and support strategic decision-making. Strong background in collaborating with cross-functional teams to translate business needs into actionable insights, and delivering impactful reports and dashboards to stakeholders at all levels. Proven ability to enhance operational efficiency and contribute to business growth through data-driven solutions. Skilled in ETL processes, data governance, and collaborating with stakeholders to support data-driven decision-making. Experienced in delivering client-ready reports with actionable recommendations to support pricing, product, and business decisions

EDUCATION

Master Of Science In Information Systems August 2023 – DECEMBER 2024

Bachelors in Computer Science and Engineering July 2018 – April 2022

SKILLS

Programming Languages Python, R, SQL,C,C++

Data Manipulation & Analysis Pandas, NumPy, Scikit-learn

Natural Language Processing NLTK, spaCy, Transformers

Machine Learning Neural Networks, Regression, Classification, Clustering

Data Visualization Matplotlib, Seaborn, Plotly, DAX( Power BI), Tableau

Databases SQL Server, MySQL, MongoDB

Tools Jupyter Notebook, ETL, Git/GitHub, Google Colab

PROFESSIONAL EXPERIENCE

Data Analyst

S&P Global, India — July 2021 — March 2023

Identified and resolved critical data quality issues by developing and implementing robust data validation processes, resulting in a significant 15% improvement in overall data quality and accuracy.

Conducted extensive data reviews and validation of rule logic to support the successful Report Certification process, contributing to the reduction of data redundancy and the maintenance of rigorous data quality standards.

Automated key data governance processes using IGC (Information Governance Center) and Python scripts, streamlining complex workflows, and reducing manual efforts by 30%, thus enhancing operational efficiency and data accuracy.

Led the validation of critical data dimensions including completeness, accuracy, integrity, uniqueness, and consistency for Critical Data Elements (CDE), achieving a 98% data accuracy rate and reducing the occurrence of release bugs by 30%.

Collaborated with cross-functional teams (including business analysts, project managers, and developers) to align data strategies with organizational goals, ensuring seamless integration of data solutions into business processes.

Designed and maintained interactive dashboards in Power BI and Tableau to track KPIs and provide real-time insights to leadership.

Partnered with business analysts to understand data needs and translated them into automated reports and visual dashboards, streamlining decision-making.

Utilized SQL and DAX within Power BI to extract, manipulate, and analyze data from multiple sources for executive-level reporting.

Delivered client-facing reports with key business insights supporting strategic decisions.

Took ownership of data projects from requirement gathering through delivery, ensuring alignment with business goals and timelines

Designed, developed, and delivered actionable insights through detailed data analysis and comprehensive reporting, empowering senior leadership and key stakeholders to make data-driven decisions that supported business growth.

Conducted deep-dive analysis on SKU-level data and pricing sensitivities using Python and SQL, supporting strategic decisions on product positioning and portfolio optimization. Created dashboards and executive reports with actionable insights on pricing effectiveness, aiding go-to-market and new product launch strategies.

Played a pivotal role in the automation of data validation processes, reducing the need for manual intervention and ensuring a more efficient data pipeline.

Continuously monitored and improved data quality metrics, helping to maintain high-quality data for reporting and business intelligence purposes.

Data Intern

Shape AI, Hyderabad — September 2019 — June 2021

Assisted senior data analysts in the collection, cleaning, and analysis of large and complex datasets, enabling accurate and insightful data-driven decisions to meet business objectives.

Developed, optimized, and maintained SQL queries to extract, clean, and transform data for reporting and analysis, ensuring that the data was accurate and ready for in-depth analysis.

Created and maintained visualizations using Python libraries such as Matplotlib and Seaborn, helping stakeholders visualize trends and patterns in data, which facilitated informed decision-making.

Actively participated in team meetings, contributing to project discussions by offering analytical insights, identifying potential challenges, and proposing effective solutions to streamline the process.

Assisted in conducting exploratory data analysis (EDA) to uncover hidden trends and insights that could contribute to improving business processes and enhancing data quality.

Worked on data integrity initiatives, ensuring that collected data met high standards of completeness and consistency, minimizing data discrepancies and ensuring reliable insights.

Gained hands-on experience in statistical modeling and A/B testing, providing valuable support in validating business hypotheses and refining analytical models.

Supported the team in automating various data collection and reporting processes, contributing to time savings and more efficient data workflows.

CERTIFICATIONS

•Certificate for completing machine learning and data science with python training in GOEDHUB TECHNOLOGIES

•Certificate for completing internship on python and machine learning in SHAPE AI

•Certificate for completing Python Essentials 1 &2 course from Cisco Networking Academy in collaboration with OpenEDG Python Institute

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