Data Analyst

SKILLS

Praveen Kumar Keshaboina

Baltimore, MD ************************@*****.*** 667-***-**** LinkedIn Open to Relocation SQL Python (Pandas, NumPy, matplotlib, Scikit-learn, Pytorch, TensorFlow, Keras, nltk) R (ggplot) Power BI Tableau Quicksight Looker Statistical Analysis Project Management (Git, Jira) Hadoop Apache Spark Apache Kafka AWS Azure GCP Ranking Methods (basic) Data Structures and Algorithms

WORK EXPERIENCE

Horizon IT Inc Charlotte, NC

Data Analyst March 2025 - Present

• Utilized SQL Server, SAS, and Python for data analysis and cleansing of loan data across 800,000+ accounts, improving data integrity and enabling accurate underwriting and risk assessment models for downstream analysis.

• Implemented Databricks workflows to automate ETL processes for financial reporting, reducing data processing time by 40% and enhancing risk assessment accuracy.

• Performed data validation and quality checks using Excel functions like conditional formatting, pivot tables, and VBA scripting, achieving 99% data accuracy and ensuring consistency in loss ratio calculations and portfolio risk management.

• Created interactive Tableau dashboards to visualize key loan metrics, such as loan-to-value ratio (LTV), default risk, and claims frequency, providing stakeholders with actionable insights to optimize risk-adjusted returns and improve reserve management. University of Maryland, Baltimore County Baltimore, MD Graduate Teaching Assistant, Machine Learning & Data Analysis January 2024 - December 2024

• Collaborated with the professor to develop and deploy an AI chatbot using Dialogflow and GPT-3.5-turbo, enhancing access to course-related, faculty, and program information for 5,000+ students; implemented LangChain and Chroma to improve retrieval accuracy by 15%.

• Automated data scraping, integrated CI/CD pipelines for continuous improvement, and conducted A/B testing to optimize chatbot responses, resulting in a 5% performance boost based on user feedback.

• Assisted 50+ students in Python programming, facilitated understanding of Data Analysis and Machine Learning concepts, and assessed student assignments and projects, providing constructive feedback to improve their analytical and technical skills. Accenture Hyderabad, India

Data Analyst November 2020 - December 2022

• Applied SQL, Databricks, and Python to collect, preprocess, and integrate financial data, improving cash flow forecasting variance by 15% and increasing portfolio risk-adjusted returns (Sharpe ratio) by 10%.

• Built interactive Power BI dashboards using DAX, visualizing profit margins, cash flow, and cost analysis to drive data-driven decisions, improving profitability and optimizing cash flow management.

• Developed Random Forest models in Python to analyze customer purchasing patterns and forecast demand trends, supporting more effective capital allocation and financial planning.

• Leveraged Snowflake to efficiently store and query large-scale financial datasets, improving data retrieval speed by 30% for real- time reporting and analysis.

• Collaborated with cross-functional teams to align customer segmentation and demand forecasting models with business KPIs, driving a 15% improvement in ROI through data-driven financial decision-making. Digiyoda Hyderabad, India

Data Analyst October 2019 - November 2020

• SQL, Python, and VBA automation were used to integrate patient data from EMR and EHR systems, ensuring consistency, enhancing interoperability, and supporting patient care analysis.

• Tableau dashboards with calculated fields and filters were developed to monitor patient outcomes and hospital resource utilization in real time, improving clinical workflow efficiency and healthcare delivery.

• AWS QuickSight and ggplot were applied for statistical analysis to identify trends in patient care and hospital performance, aiding in clinical outcome assessment and quality improvement initiatives. PROJECTS

Bike Demand Forecasting and Prediction August 2024 - December 2024

• Developed LSTM model with 91% accuracy to predict the e-bike demand at each station on every hour.

• Warehoused 5gb data by web scraping and writing Python scripts into an AWS redshift to perform analysis using Athena & Tableau. Image De-blurring Model January 2024 - May 2024

• Designed a GAN-based Image-deblurring model using Pytorch and Azure Machine Learning studio with an accuracy of 78%.

• Utilized OpenCV library to process 20,000 images, imparting image augmentation techniques and applied a relativistic blur function. Automatic MCQ Generation August 2023 - December 2023

• Built an NLP powered system to automatically generate MCQ’s using analyzing any text, by employing LSTM and BERT models.

• Employed Semi-supervised learning using Pytorch, Nltk, and AWS sagemaker to develop a model with 50.4 ROGUE score. EDUCATION

Master of Science, Data Science University of Maryland, Baltimore County Baltimore, MD 3.94 January 2023 - December 2024 Bachelor of Science, Electronics and Computers Jawaharlal Nehru Technological University Hyderabad, India 4.0 2016 - 2020 Certifications: DP-100 (Azure Data Scientist Associate), AZ-900 (Microsoft Azure Fundamentals), SQL for Data Science (Coursera)

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