Data Analyst

Kavya Sri Kasarla

+1-812-***-**** **********@*****.*** LinkedIn GitHub

Detail-oriented Business/Data Analyst with a master’s degree in computer science from Indiana University Bloomington and experience in data management, reporting, and analytics with good knowledge of algorithms, software development. Proficient in longitudinal research, statistical analysis and machine learning model training, with hands-on expertise in Python and SQL for handling and querying large datasets. Adept in utilizing data visualization tools such as Microsoft Power BI and Tableau to deliver actionable insights. Highly ambitious individual with excellent organizational, problem-solving, and communication skills. Experienced in working with diverse technologies and tools, including IBM WebSphere, Linux, UNIX, and Docker, with a strong background in web technologies like HTML, CSS, React.js, and Next.js.

EDUCATION

Master of Science in Computer Science May 2024

Indiana University, Bloomington, Indiana, USA GPA: 3.6/4.0 Bachelor of Technology in Information Technology May 2021 Kakatiya Institute of Technology and Science, Warangal, Telangana, India GPA: 3.8/4.0 SKILLS

Programming Languages: Python, Java, JavaScript, C, C++, SQL, PHP. Databases: MySQL, PostgreSQL, NoSQL, Oracle, SSMS, SSIS, SSRS, SSAS. Web Technologies: Html5, CSS, React, Restful API Services Flask, Django. Tools/Framework: IBM WebSphere, Linux, UNIX, Visual Studio, Eclipse, PyCharm, Tableau, Power BI, GIT, JIRA, Snowflake. Technical Skills: Data analysis/visualization, Business Analytics, Business Intelligence, Business Development, ETL, Portal administration, Machine Learning, SDLC, Software Engineering, Artificial Intelligence, Data Mining, Data Structures, Lean 6 Sigma. Soft Skills: Communication, Project Management, Problem Solving, Decision Making, Organization, Teamwork, Adaptability. PROFESSIONAL EXPERIENCE

Research Data Scientist – Hoosier Community Network Bloomington, Indiana, US July 2024 – Present

• Spearheaded research projects applying advanced statistical analysis and machine learning algorithms, improving forecasting accuracy by 30%.

• Utilized Python, and SQL to analyze large datasets, identifying trends that led to a 25% increase in revenue.

• Conducted longitudinal research studies, tracking and analyzing data over extended periods to understand long-term trends, customer behaviors, and market dynamics, while designing and implementing data collection frameworks to ensure consistency and reliability.

• Analyzed the impact of various interventions on customer engagement and revenue growth, providing actionable insights for strategic planning.

• Collaborated with teams to design experiments, resulting in data-driven recommendations that boosted customer engagement by 20%.

• Used Microsoft SQL Server Services to manage the data and preprocess to draw patterns/trends for future forecasting.

• Created Data charts to analyze the customers of small-scale businesses to help them make informed decisions regarding future sales.

• Developed interactive data visualizations using Microsoft Power BI and Tableau, enhancing real-time monitoring of KPIs. Assistant Manager - Business Operations - Indiana University Bloomington, Indiana, US May 2023 – May 2024

• Streamlined inventory management by leveraging SQL and Power BI for data analysis, enhancing operational efficiency in the dining unit and reducing wastage, cutting manual workload and saving operational costs.

• Led JIRA-driven analysis of different eateries, aligning stakeholder needs with financial data by analyzing ledgers, balance sheets.

• Oversaw inventory management, reduced costs by 20% through data-driven analysis and optimization.

• Coordinated with vendors, improved supply chain efficiency by 15% using data insights.

• Developed training programs, increased service quality scores by 10% for new staff.

• Created dashboards using Tableau to draw insights regarding the staff requirement changes in future.

• Designed an inventory management dashboard, integrating customer preference data from PeopleSoft CRM enabling real-time insights, improving customer satisfaction and managerial budget decisions bolstering business efficiency.

• Resolved customer complaints, boosted satisfaction by 25% with CRM-driven process improvements. Associate Professional Software Engineer - DXC Technology Hyderabad, Telangana, India May 2021 – July 2022

• Led the management and optimization efforts for web portals, ensuring streamlined data access and improving user experience. Demonstrated proficiency in IBM WebSphere, effectively deploying, configuring, and maintaining web applications on the platform.

• Collaborated with cross-functional teams including developers, and stakeholders to identify user needs and implement improvements.

• Demonstrated proficiency in Linux and Unix administration, effectively managing server operating systems.

• Worked on large datasets on excel to create pivot tables and analyzing and prioritizing the servers based on requirements.

• Monitored batch job execution, provided technical support for computing infrastructure components, including data centers, and ensured the smooth functioning of critical processes; designed analytical approaches leveraging data visualization tools and Python.

• Worked with large datasets containing information on various servers used in a multinational corporation. Utilized Excel formulas and pivot tables to categorize and analyze servers, implementing necessary changes to address vulnerabilities and enhance security.

• Successfully assumed responsibilities typically held by a six-year experienced professional, demonstrating exceptional performance and earning the prestigious Quarter Champ Award for outstanding work. ACADEMIC PROJECTS

Digit And Face Classification using CNN (Python, CNN, Model Tuning) April 2023

• Created a robust model capable of detecting facial expressions and recognizing handwritten digits with high accuracy, leveraging CNN.

• Applied digit classification techniques for Optical Character Recognition (OCR) and image recognition tasks, improving accuracy in automated data entry and document processing.

• Used Convolutional Neural Network algorithms to make sure the model predicts the digit or facial emotion with 95% accuracy.

• Enabled precise face emotion classification for detailed feature analysis, contributing to advancements in fields such as human-computer interaction and psychological research.

Event/Venue Management System (React, MongoDB, Flask, CSS, HTML, Heroku) April 2023

• Designed a user-friendly website serving as a centralized hub for event organizers and venue proprietors.

• Simplified the process of finding, booking, and listing venues by facilitating seamless connections between venue owners and customers.

• Enhanced user experience with advanced search capabilities, secure payment options, and interactive features.

• Deployed the project through Heroku.

• Followed Agile methodology and followed sprints to finish the project and followed JIRA-driven approach for story boards and updates. Asset Management System (PHP, HTML5, CSS, JavaScript) March 2021

• Developed a web-based application to optimize asset management within organizations.

• Implemented continuous asset tracking, leading to significant cost and time savings for businesses.

• Developed prototypes on Figma recently and worked on it further with Lotus Education and Arts Foundation on design strategies PUBLICATIONS/CERTIFICATION

• MTA – Microsoft Training Associate for Programming in Python

• Analyzing and Visualizing data with Power BI – Forage & PWC Simulation certificate

• Business Analysis Foundations Certificate – PMI

• Recognized for successfully completing the SQL50 challenge on LeetCode, showcasing advanced skills in SQL.

• Secured a place in STARTUP 2020 top 200 Finalists.

• Co-authored “Image Segmentation based Hybrid Watermarking Algorithm for Copyright Protection” at the eleventh ICCCNT in association with IEEE. doi: 10.1109/ICCCNT49239.2020.9225668

• Presented a “Survey on Digital Watermarking” at the third National Conference on FACET.

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