Data Analyst Machine Learning

SravanthMandava

********.**********@*****.*** NY 973-***-**** LinkedIn

Summary

Results-driven Data Analyst with over 4 years of experience in data processing, machine learning and optimizing ETL processes to solve business problems. Skilled in identifying key data insights, collaborating with cross-functional teams, and designing data models and visualizations using Power BI, SQL, and Python. Proficient in ensuring data quality, security, and compliance, while managing and mentoring teams on efficient querying and production solutions. Education

New Jersey Institute of Technology, Masters in Management Science and Business Analytics Aug 2022 – Dec 2023 Coursework: Data Visualization, Data Mining and Analytics, Big Data Management, Applied Statistics Jawaharlal Nehru Technological University, B.Tech. in Computer Science and Engineering June 2015 –May2019 Coursework: Data Structures, Object Oriented Programming, Computer Networks, Operating Systems Professional Experience

Data Analyst, Vitosha Inc [King of Prussia, PA] Mar 2024 - Present

Worked on Python data processing pipelines, reducing cleaning and preparation time by 50% while managing large datasets. Automated cleansing tasks and ensured data integrity, significantly enhancing analytics processes.

Streamlining ETL (Extraction, Transformation, and Loading) processes through optimizations led to a 60% increase in data throughput, significantly improving operational efficiency and business performance by enhancing data processing rates and developing robust data models.

Designed and Implemented Power BI dashboards to visualize key business metrics and retail healthcare sales trends. Optimized SQL queries and implemented Row Level Security, improving decision-making efficiency by 25%.

Developed and deployed machine learning models and advanced visualizations that transformed complex health data into production-ready insights, mentoring team members on efficient querying and Agile best practices. Data Analyst Intern, Mayo Clinic [Rochester, MN] Jun 2023 – Sep 2023

Developed a comprehensive health data analytics framework Leveraging Python and SQL to process, clean, and transform over 1 million patient records, incorporating automated quality checks and logging mechanisms to ensure data accuracy, availability, and HIPAA compliance. Which Accelerated actionable insights for product initiatives with SLA compliance.

Engineered and deployed advanced statistical analysis and visualization solutions using Python and R to analyze genomics data from over 500,000 participants, leveraging custom clustering, and hypothesis testing scripts. Data Analyst, GVS Projects [Hyderabad, India] Jun 2021 – Aug 2022

Managed an end-to-end data pipeline including data scraping, data cleaning, EDA, and feature engineering, thereby extracting meaningful patterns of key performance indicators (KPI) that resulted in a direct business impact on the client, improving business intelligence and decision-making.

Designed Power BI dashboards to visualize the derived insights dynamically and enabled various filters to examine independent factors that directed the company’s focus toward unidentified features, thereby boosting sales and revenue.

Achieved remarkable results with a 33% enhancement in data accuracy and operational efficiency, positively impacting customer service and facilitating more informed decision-making for the company through predictive analysis. Pega Developer, Tata Consultancy Services [Hyderabad, India] Aug 2019 – May 2021

Developed and optimized access groups, roles, SLAs, and flow actions to streamline activities and process flows. Implemented core business logic through rule development in PEGA, integrating Rule-Connect and Rule-Service for seamless data exchange.

Refined application components like Harness, Sections, Flow Action rules to streamline data logging and ensure seamless ETL processes, while integrating with external systems SOAP, HTTP, SQL to maintain robust data availability and quality.

Developed intuitive UI elements and defined key Service Level Agreements, while independently engineering scalable data workflows that ensured compliance with privacy, security, and data quality standards.

Leveraged Agile and Scrum methodologies to work with engineers, product managers, and QA teams, gathering business requirements and executing comprehensive testing to deliver production-ready applications. Technical SKILLS and Certifications

Programming Languages: Python, SQL, R, Java, NoSQL, PL/SQL, C, C++, HTML, CSS Data Visualization: Power BI, Tableau, Excel, Looker, Seaborn, Matplotlib, Plotly, ggplot2 Databases: PostgreSQL, MySQL, Oracle, SQL Server, Azure SQL, MongoDB AI & Data Science Libraries: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Flask. Other Skills: PEGA, Azure Data Factory, Docker, Kubernetes, Web Scraping, Git, JIRA, Agile Certifications: Advanced Data Analytics from Linkedin, PEGA CSSA(7.4) Projects

COVID-19 Detection from CT Scan Images

Implemented a deep learning model by stacking 4 pre-trained models, achieving 94% accuracy in classifying CT scan images into COVID or non-COVID cases, thereby improving the model's ability to capture complex patterns. Job and Skill Mapping Dashboard

Created data-driven Power BI dashboards using SQL to extract data from large datasets, resulting in a 45% increase in user engagement by enabling strategic career planning based on local job market trends. YouTube Data Analysis

Built a data management system using Azure to analyze YouTube trending videos, with a centralized data lake in Azure Data Lake Storage and an interactive dashboard powered by Power BI.

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