Data Analyst and Machine Learning Engineer with 3 years of experience in data-driven decision-making and predictive modeling. Skilled in Python, SQL, Power BI, Tableau, and TensorFlow, with hands-on expertise in data wrangling, dashboarding, and deploying ML solutions on AWS and Azure. Adept at turning complex data into actionable insights and scalable models across Agile and hybrid environments.…

Akshay Vadala

Data Analyst and Machine Learning Engineer with 3 years of experience in data-driven decision-making and predictive modeling. Skilled in Python, SQL, Power BI, Tableau, and TensorFlow, with hands-on expertise in data wrangling, dashboarding, and deploying ML solutions on AWS and Azure. Adept at turning complex data into actionable insights and scalable models across Agile and hybrid environments.…

Available to hire

Data Analyst and Machine Learning Engineer with 3 years of experience in data-driven decision-making and predictive modeling.
Skilled in Python, SQL, Power BI, Tableau, and TensorFlow, with hands-on expertise in data wrangling, dashboarding, and
deploying ML solutions on AWS and Azure. Adept at turning complex data into actionable insights and scalable models across Agile
and hybrid environments.

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Work Experience

Machine Learning Engineer at Tempus
June 1, 2024 - November 6, 2025
Engineered and fine-tuned predictive models with TensorFlow and XGBoost to aid early detection of over 1,200 cancer cases by integrating genomic and clinical data. Automated end-to-end data ingestion, cleaning, and preprocessing with Pandas, NumPy, and SQL, reducing manual preprocessing hours by ~200 hours per quarter. Built scalable training and deployment pipelines on AWS S3 and RDS, achieving $5,000 monthly cost savings while maintaining performance. Created visualization dashboards with Matplotlib, Seaborn, and Power BI to help clinicians interpret model outputs. Led Agile sprint planning and backlog grooming, improving delivery times by approximately 5 days per sprint over 6 months.
Data Analyst at TCS
July 1, 2023 - July 1, 2023
Designed and deployed over 10 Tableau and Excel dashboards tracking 60+ KPIs, improving SLA visibility and operational responsiveness. Authored and optimized 150+ SQL queries on MySQL and PostgreSQL, automating weekly reports and saving 60+ hours monthly. Conducted statistical analysis on 400,000+ incident records using Seaborn to identify root causes and improve issue resolution times by 15%. Consolidated MongoDB datasets with Azure Data Factory, reducing duplication. Delivered 25+ ad hoc analyses in Python, reducing turnaround from 3 days to under 24 hours. Managed client migrations with hybrid Scrum-Waterfall, achieving early completion by 14 days. Presented insights to stakeholders contributing to a project expansion worth over $250,000.

Education

Master of Science in Information Technology at University of Cincinnati
August 1, 2023 - December 1, 2024
Bachelor of Technology in Computer Science at KL University
June 1, 2019 - April 1, 2023

Qualifications

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