Data Analyst Processing
Resume:
SRIANUSHA PUNATI
Data Analyst Data Processing Data Visualization SQL, Python, R
+1-475-***-**** *************@*****.*** https://www.linkedin.com/in/srianushapunati Chicago, IL 60616 SUMMARY
Detail-oriented Data Analyst around 2 years of experience in data processing, visualization, and analytics. Proficient in SQL, Python, and R, with expertise in data querying, manipulation, and automation for business intelligence. Strong background in data modeling, statistical analysis, and machine learning, leveraging insights to drive data-driven decisions. Experienced in developing interactive dashboards and reports using Tableau, Power BI, and Excel to visualize key performance metrics. Skilled in ETL processes, data cleaning, and validation, ensuring data integrity, accuracy, and consistency. Knowledgeable in big data technologies and cloud platforms (AWS, Azure) for scalable data processing. Adept at collaborating with cross- functional teams, translating business requirements into actionable insights. Hands-on experience in predictive modeling and statistical forecasting, improving operational efficiency and business performance. Experienced in optimizing data workflows and automating processes to improve reporting speed and accuracy. Strong problem-solving, analytical thinking, and communication skills, ensuring seamless stakeholder engagement
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KEY ACHIEVEMENTS
Data Processing Improvement
Increased data processing efficiency by 30% through optimized workflows and automation strategies.
Dashboard Optimization
Developed dashboards with 25% faster loading time using efficient data visualization techniques.
Insightful Data Visualization
Provided insights that boosted decision-making processes accuracy by 20% for business strategy.
Automated Reporting Efficiency
Reduced manual reporting time by 35% through improved automated report generation processes.
Improved Data Efficiency
Reduced data processing time by 30% using optimized SQL queries and automation.
Dashboard Development
Developed 15 interactive dashboards in Tableau and Power BI, enhancing data insights.
Data Integrity Enhancement
Led a team to increase data accuracy by 25% through improved validation checks.
Reporting Speed Boost
Increased reporting speed by 40% by automating ETL processes and workflows.
EXPERIENCE
Data Analyst
Aptech
07/2024 - Present Remote
Gather, clean, and preprocess raw data from various sources to ensure accuracy and completeness Perform exploratory data analysis (EDA) to identify trends, patterns, and insights for decision-making Write and optimize SQL queries to extract, manipulate, and analyze data from relational databases Develop interactive dashboards in Tableau to visualize complex datasets, enabling real-time data-driven decision-making Create dynamic reports in Power BI, incorporating DAX functions and advanced analytics for business performance tracking Utilize Excel to generate automated reports, perform data analysis, and streamline workflows Apply statistical techniques and models to analyze business performance and forecast trends Ensure data integrity by conducting validation checks and reconciliation processes Create periodic reports to track KPIs, business metrics, and performance indicators Work closely with stakeholders, including business leaders and IT teams, to understand data needs and provide insights Identify inefficiencies in data workflows and recommend automation or optimization strategies Adhere to data security policies, privacy regulations, and best practices in data management www.enhancv.com Powered by
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EXPERIENCE
Data Analyst
Bornemindz Software Solutions Pvt. Ltd
08/2021 - 09/2022 Hyderabad,India
Collected, processed, and analyzed large datasets to identify trends and insights Developed interactive dashboards and reports using Tableau and Power BI to visualize key performance metrics Utilized SQL to extract and manipulate data from relational databases for reporting and analysis Performed data cleaning and transformation to ensure data accuracy and integrity Conducted statistical analysis and predictive modeling using Python and R to drive data-driven decision-making Optimized data pipelines and ETL processes to improve data workflow efficiency Assisted stakeholders in understanding complex data insights and provided recommendations for business improvements Collaborated with cross-functional teams to implement data-driven solutions for operational enhancements Documented data processes, methodologies, and findings to ensure reproducibility and knowledge sharing EDUCATION
Master of Computer Science
University of Bridgeport
2022 - 2024 Bridgeport,United states
Coursework: Data mining, Ethical hacking, Python, Intro to Robotics, deep learning, computer Communications
Bachelor of Computer Science
Jawaharlal Nehru Technological University
2017 - 2021 Kakinada
Coursework: Internet of things, LAN, WAN, TCP/IP, HTTP OSI, Data structures, Web Technologies Cryptography and Network security
LANGUAGES
English
Proficient
SKILLS
AWS C/C++ Data Mining Data Structures Deep Learning Encryption ETL Git Microsoft Office Microsoft Power Point OpenCV Power Query Python RDBMS Robotics Scikit-Learn SDLC SQL Tableau TensorFlow Vlookup WAN Pivot Table TCP R Power BI Statistical Anylasis Predictive modeling Data Warehousing Data cleaning spark Agile Environment www.enhancv.com Powered by
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PROJECTS
M PAD IMAGE PH PREDICTIONS
02/2021 - 05/2021 Narasaraopet
PADs are new microfluidic paper-based analytical diagnostic devices used to provide laboratory-based test ex: water, blood, urine, etc...) at the user location itself.
Microfluidic paper-based analytical devices (PADs) are known as a powerful analytical. Image Processing: Python's libraries like OpenCV and PIL facilitated efficient extraction of Regions of Interest (ROI) from MPAD images, enabling precise analysis.
Automation and Scalability: Deep learning allowed automated feature extraction and analysis, reducing human interpretation errors and ensuring scalability for various diagnostic needs. Ease of Implementation: Python's simplicity and extensive ecosystem, including TensorFlow and Scikit learn, streamlined the development of machine learning and deep learning models.
Colorimetric Analysis: Machine learning models were used to map colorimetric changes on MPADs to pH values, enhancing diagnostic accuracy.
Real-time Diagnostics: Machine learning models enabled real-time analysis of MPAD results, making the system efficient and suitable for point-of-care applications.
Integration and Accessibility: Python’s compatibility with mobile and web-based platforms made it easier to integrate the diagnostic system with user-friendly applications for widespread accessibility. Collaborated with cross-functional teams to organize fundraising events, raising $10,000+ for local health and education initiatives DATA SHARING THROUGH CRICTOGRAPHY AND STEGNOGRAPHY 02/2024 - 05/2024 Bridgeport
Project Focus: The project emphasizes data security through cryptography and steganography, aiming to ensure confidentiality and protect sensitive information during transmission.
Cryptography: Implemented techniques to convert plain text into cipher text, safeguarding messages from unauthorized access. Steganography: Utilized as a covert communication technique, hiding the presence of data in media like images or videos. R Usage: Probably used for data analysis and statistical evaluation related to encryption and decryption processes, aiding in testing and validation of security measures.
C++ Usage: Likely chosen for developing core cryptographic and steganographic algorithms, benefiting from its speed and efficiency in handling performance-intensive tasks.
Go (or STEGO): Could reference the Go programming language for backend system design or parallel computation, though it might also refer to "STEGO," representing steganography techniques. Python Potential: While not explicitly mentioned, Python is often used in similar projects for prototyping algorithms, data manipulation, and visualization.
Applications: Designed for scenarios where secure communication is critical, such as defense, financial transactions, and private communications.
Challenges Addressed: Tackled issues like illegal access, data interception, and the need for reliable confidentiality methods in digital communication systems.
Multilayered Security: The project combines cryptographic and steganographic approaches to create a robust, multi-layered security system for data.
Collaborated with cross-functional teams to organize fundraising events, raising $10,000+ for local health and education initiatives www.enhancv.com Powered by
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