LAKESH KUMAR SURYADEVARA

About Me

Hello, I'm Lakesh!

I am a Data Scientist passionate about translating complex data into scalable, intelligent business solutions.

With a Master’s in Data Science (University of Memphis, 2025) and 3 years of professional experience, I specialize in building data-driven architectures, predictive models, and actionable analytics dashboards that drive measurable outcomes.

My technical expertise includes Python, SQL, R, TensorFlow, PySpark, and AWS. I’ve built production-grade ETL pipelines handling over 1TB of daily data, developed AI-driven healthcare models improving user adherence by 30%, and implemented Snowflake-based warehousing systems supporting product decisions for 500,000+ users.

I'm currently seeking full-time opportunities as a Data Scientist or Machine Learning Engineer — where I can create intelligent systems that make decision-making more data-informed, efficient, and impactful.

Core Skills

  • Programming: Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Flask), R, SQL, PySpark
  • Machine Learning: Predictive Modeling, NLP, Deep Learning, Regression, Classification, Clustering, Feature Engineering
  • Data Engineering: ETL Pipeline Design, Data Warehousing (Snowflake, AWS S3), Workflow Orchestration (Apache Airflow)
  • Visualization & BI: Tableau, Power BI, Looker, Matplotlib, Seaborn
  • Cloud & Big Data: AWS, Apache Spark, Distributed Computing
  • Healthcare Analytics: Clinical Outcomes Analysis, MNT Analytics, Behavioral Data Insights

Experience

Data Scientist - Fitpaa (Hyderabad, India)

June 2020 – July 2023

  • Built AI-driven health analytics pipelines processing 1TB/day using AWS S3, Apache Airflow, and PySpark, improving system efficiency by 40%.
  • Developed predictive behavior models on 100,000+ sessions leveraging TensorFlow and scikit-learn, enhancing user goal completion by 25%.
  • Designed real-time Power BI dashboards tracking engagement and clinical outcomes, enabling data-backed growth of 150% to 500,000+ users.
  • Implemented Snowflake-based testing frameworks across chronic disease programs, improving user retention by 28%.

Graduate Assistant – Data Mining

Department of Data Science, University of Memphis | Jan 2024 – May 2024

  • Designed lab materials for ML courses covering feature engineering, model evaluation, and classification algorithms.
  • Guided students in R, Python, and SQL projects using Scikit-learn, caret, and ggplot2.
  • Contributed to research in AI model interpretability and bias detection methods.

Education

Master of Science in Data Science

University of Memphis – May 2025

Coursework: Machine Learning, Artificial Intelligence, Predictive Analytics, Cloud Systems, Data Visualization

Bachelor of Technology in Electronics & Communication Engineering

SRM University – 2021

Want to Know More?

Download my full resume for complete details about my academic background, projects, and certifications.

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