Mukesh Reddy Mavurapu

ad3bdz@r.postjobfree.com **** Fannin Street, Houston LinkedIn 920-***-****

• Data Science graduate with 18 months of industry experience in data engineering and expertise in data warehousing.

• Working as a research assistant at the University of Houston in the field of application development and data analysis.

• Proficient in SQL, Python, Tableau, Machine Learning, Consulting, Project Management, Reporting and Client Interaction.

• Industry experience in Financial and Healthcare domain, a team player with excellent communication and management skills. TECHNICAL SKILLS:

BI/Data Analytics: R, Python, Advanced Excel Databases: MySQL, PostgreSQL, SQL Server Data Visualization: Tableau (Desktop/Server), R studio, Power BI Programming: Python, SQL, R, C#, C++, Visual Basic Cloud Technologies: AWS, Snowflake, Databricks Frameworks: .Net, Apache Spark, Hadoop, Hive, Airflow Stats/Machine Learning: Regression, Random Forest, Ensemble Learning, Anomaly detection, Clustering, Sentiment Analysis, SVM EDUCATION:

Master of Science -Engineering Data Science, University of Houston at Houston (GPA: 3.79) December 2024 Bachelor of Technology -Electrical and Electronics, National Institute of Technology, Calicut (GPA 3.66) May 2021 PROFESSIONAL EXPERIENCE:

Senior Data Analyst, Measurement and Evaluation Center, UH May 2023 - Present

• Developed and maintained C#, ASP.NET applications, improving departmental processes.

• Spearheaded migration to python, automated and modularized report generation across 70 departments for 10,000 professors.

• Deployed 6 interactive BI dashboards for internal stakeholders, providing real-time access to institutional information using Tableau.

• Leveraged MS-SQL databases and streamlined over 50 PL/SQL procedures resulting in 30% reduction in execution time.

• Employed on a transformative effort to revamp course evaluation process, introducing customization by allowing faculty to select questions they want to ask, replacing previous predefined question set. Data Engineering Analyst, Accenture AI, Hyderabad, India June 2021 - Dec 2022

• Orchestrated metadata migration and ETL pipelines between Glue, S3, Snowflake, and Tibco EBX using Databricks and Airflow.

• Collaborated on banking project pipelines, reducing turnaround time for home loan processing through H2O driverless AI for auto MLOP’s, scoring around 1000 customers/second based on model, business, and scenario-based rules from SQS message queue.

• Optimized and modularized existing pipeline to reduce processing time from 6min per execution in lambda to 30sec.

• Created 2 pipelines for salaried and self-employed with respective business rules and models for home loan application approval.

• Used a broad set of data curation and analytical tools and techniques to facilitate development of quantitative business insights. ACADEMIC PROJECTS:

Cloud-Enabled YouTube data analysis and visualization Nov 2023 – Dec 2023

• Enhanced data driven decision-making through Python scripting and Spark for entire ETL processing and QuickSight visualization.

• Unified diverse data types to a consistent format, conducted regional analysis using Glue ETL, Lambda, and S3 with 0 error rate. Store-Item-Demand-Forecasting-Challenge: Kaggle time series Forecasting May 2023 – June 2023

• Created time-related features from model training, applies moving average for noise reduction, and generated 90-day before data.

• Employed XGBRegressor for accurate time series predictions, utilized moving average of sales as target for reliable predictions. Page Block Classification Ensemble Model building Jan 2023 - Apr 2023

• Enhanced web page analysis using 10 machine learning models for accurate section and block categorization from the UCL dataset.

• Conducted extensive hyperparameter tuning to optimize model performance and ensure robust classification accuracy. Intelligent ECG Acquisition system for Chronic Heart Disorder Detection using Machine learning Dec 2020 – Apr 2021

• Implemented an event-driven acquisition process on real time ECG data, achieving F measure of 0.88 and kappa statistics of 0.75.

• Incorporated feature extraction method resulting in improvement in algorithm performance. CERTIFICATIONS

• AWS Solutions Architect Associate (Amazon Web Services) June 2022

• Databricks Developer Essentials (Databricks) April 2022

• Data Analysis using Spark (Coursera Project Network) May 2022 LEADERSHIP

• Secretary for Programming committee during annual technical fest Tathva, NIT Calicut 2018-2019

• Event Manager for Robotics event Hover drive for technical fest Tathva, NIT Calicut 2019

• Member of Indian Society for Technical Education (ISTE) technical club, NIT Calicut 2018-2021