Neha Yeramarus Muralidhar

316-***-**** ad485y@r.postjobfree.com https://www.linkedin.com/in/neha-muralidhar-868197227

Professional summary

●Over 8 years of expertise in data-related tasks, including Data Extraction, Data Modeling, Data Wrangling, Statistical Modeling, Data Mining, Machine Learning, ETL ingestion, and Data Visualization.

●Skilled in designing and implementing data pipelines (ETL) for data extraction, transformation, and loading.

●Proficient in Python for developing analytic models using packages like NumPy, Pandas, SciPy, and Matplotlib.

●Well-versed in Big Data technologies, including Spark, Scala, Map Reduce, and Hadoop.

●Familiarity with JAVA 8 features such as Multithreading, Exception Handling, Lambda Expressions, and Collection API.

●Skilled in converting business resources and requirements into manageable data formats and analytical models, developing algorithms, creating models, and building data mining and reporting solutions capable of handling large volumes of structured and unstructured data.

●Proficient in managing the entire data science project life cycle, including data acquisition, data cleaning, feature engineering, statistical modeling, testing, validation, and data visualization.

●Exceptional Tableau Developer with expertise in constructing and publishing customized interactive reports and dashboards, incorporating personalized parameters and user filters.

●Possesses exceptional ability to quickly grasp new concepts, works well within a team, demonstrates strong analytical skills, and consistently performs at a high level, meeting deadlines and adapting to changing priorities.

●Expertise in various Machine Learning algorithms, including Regression Models, Decision Trees, Random Forests, Sentiment Analysis, Naïve Bayes Classifier, SVM, and Ensemble Models.

●Advanced machine learning techniques, including deep learning, natural language processing (NLP), and recommendation systems.

●Skilled in model selection, hyperparameter tuning, and cross-validation to build robust predictive models.

●Strong understanding of statistics and probability theory to support data-driven decision- making.

●Proficiency in data storytelling using data visualization and narrative techniques to convey

the significance of data-driven insights.

●Experience with deploying machine learning models in production environments, including cloud platforms like AWS, Azure, or Google Cloud.

●Knowledge of ethical considerations and best practices in data science, including data privacy and bias mitigation.

●Ability to work with unstructured data sources, such as text and image data, and extract meaningful information.

●Adept at conducting A/B tests and experiments to validate data-driven recommendations.

●Collaborative team player, capable of working with cross-functional teams and

stakeholders to solve complex business problems.

●Proficiency in data analysis techniques, including exploratory data analysis (EDA), hypothesis testing, and A/B testing, to derive actionable insights from data.

●Experience in data cleansing and data quality assessment to ensure the accuracy and reliability of datasets.

●Proficiency in using SQL for querying and manipulating data from relational databases.

●Strong business acumen, capable of translating data findings into actionable recommendations for business stakeholders.

●Familiarity with data visualization tools like Power BI and Tableau for creating interactive reports and dashboards.

●Effective communication of complex analytical findings to both technical and non-technical stakeholders.

WORK EXPERIENCE

Intuit Inc, San Franciso, CA

Data Engineer 09-2021 - Till now

●Designed and implemented data pipelines and ETL processes to efficiently extract, transform, and load financial and accounting data from various sources into the QuickBooks ecosystem.

●Collaborated with cross-functional teams to define data requirements, ensuring data accuracy and completeness for QuickBooks products.

●Developed machine learning models and predictive analytics solutions to enhance the accuracy of financial forecasts and recommendations within QuickBooks.

●Leveraged data visualization tools and techniques to create intuitive and actionable reports and dashboards for QuickBooks users.

●Played a pivotal role in optimizing data storage and retrieval processes to improve the performance and scalability of QuickBooks systems.

●Actively participated in the data science project lifecycle, including data acquisition, data cleaning, feature engineering, statistical modeling, and testing/validation.

●Utilized big data technologies such as Spark and Hadoop to process and analyze large

volumes of financial data for QuickBooks.

●Applied advanced statistical and machine learning techniques to uncover valuable insights and trends in financial data, contributing to QuickBooks' data-driven decision-making.

●Ensured adherence to data privacy and security regulations, implementing robust data protection measures in compliance with industry standards.

●Collaborated with QuickBooks development teams to integrate data-driven features and enhancements into the software, improving user experiences and financial management capabilities.

Graduate Research Assistant

Kansas State University, Manhattan, KS 08/2019 – 08/2021

●Conducted data analysis and preprocessing for research projects.

●Utilized R/Python for statistical analysis and modeling.

●Created data visualization reports to communicate findings.

●Assisted in database management and data enrichment.

●Presented research results at conferences and contributed to publications.

●Collaborated effectively with professors and peers.

Data Scientist/ Analyst

Technovert Solutions, Hyderabad, India 07/2017 - 07/2019

●Conducted data analysis on large datasets to extract meaningful insights, trends, and patterns, contributing to informed decision-making.

●Utilized SQL for querying and manipulating data in relational databases, ensuring data accuracy and integrity.

●Created and maintained automated dashboards and reports using tools like Tableau or Power BI, facilitating data-driven decision-making for stakeholders.

●Collaborated with cross-functional teams to define key performance indicators (KPIs)

and develop data-driven strategies to improve business processes.

●Conducted A/B tests and hypothesis testing to evaluate the impact of various business strategies, resulting in data-backed recommendations.

●Assisted in data cleansing and preprocessing to improve data quality and eliminate inconsistencies.

Data Analyst

Digi360.in, Bengaluru, India 05/2013-06/2017

●Collaborated with cross-functional teams to develop and maintain software applications, gaining a strong foundation in programming and software development.

●Gained proficiency in Python and relevant libraries for data analysis and machine

learning, laying the groundwork for a transition into data roles.

●Conducted exploratory data analysis (EDA) on internal data sets to identify patterns and insights, sparking an interest in data-driven decision-making.

●Assisted in database management and SQL queries for data extraction, setting the stage for future data-related responsibilities.

●Actively engaged in self-study and online courses to acquire skills in statistical analysis and machine learning.

●Demonstrated adaptability and a willingness to learn, setting the stage for a successful transition into Data Analyst and Data Scientist roles.

Intern 01/2013-06/2013

Mind soft Technologies, Bengaluru, India

EDUCATION

Kansas State University, Manhattan, Kansas, USA Graduated: 2021 Masters in computer science & Engineering

Visvesvaraya Technological University, Belgaum, India Graduated: 2013

Global Academy of Technology, Bangalore, India

B. E., Computer Science & Engineering.

PROJECTS

Retail data and HRMS analytics using DAX query language. 08/2019 -12/2021

●Implemented DAX query language for advanced retail and HR analytics in Power BI.

●Created interactive reports and dashboards for sales, employee performance, and HR metrics.

●Calculated KPIs and enabled data-driven decision-making.

●Ensured data accuracy through cleansing and transformation processes.

●Collaborated with cross-functional teams to meet business requirements.

●Established a tailored DBMS for a pharmaceutical company.

●Designed and implemented a secure database schema using SQL.

●Enabled efficient data storage, retrieval, and backup strategies.

●Ensured integration with existing systems and applications.

●Provided training and documentation for internal staff.

●Developed a Traveling Ontology based on axiomatizations.

●Created OWL files for ontology representation.

●Contributed to knowledge representation and reasoning in travel domain.

Reversible and Irreversible Data Hiding Techniques 01/2013-06/2017

●Developed steganography techniques to embed the secret message using JavaScript.

SKILLS

Programming: C#, Java, SQL, C++, C, .Net, SQL Server, SSIS, SSRS

Web Designing: HTML, CSS, JSP, PHP Databases: MySQL

Operating Systems: Linux, Windows; Version Control Systems: GIT, Team Foundation Server Power BI – Developer

Data Lake: Date Ingestion, Data Storage, Data Cataloging, Data Quality and Governance, Data Transformation.

Business Analytics- Maintaining the data Records.

Coursework: Computer Networks, Data Structures, Software Architectures, Database Management Systems, System Modeling and Simulation.

ACHIEVEMENTS AND CO-CURRICULAR ACTIVITIES

I received a ‘Gold medal’ in 2013 for securing first class with distinction in bachelor’s degree.

Co- curricular Activities - Creativity, leadership, communication, problem solving, teamwork.

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