Summary
Overview
Work history
Education
Skills
Certification
ABOUT ME
Soft Skills
Timeline
Generic

Varshith Vajinapally

Boca Raton,Florida

Summary

  • Data Scientist with 4+ years of experience leveraging statistical modeling, machine learning, and data-driven insights to solve complex business problems and drive strategic decision-making.
  • Proven expertise in designing and deploying predictive models, performing advanced analytics, and delivering actionable recommendations that improve efficiency and revenue.
  • Skilled in Python, R, SQL, and big data technologies (Hadoop, Spark) with strong proficiency in data visualization tools such as Tableau and Power BI.
  • Hands-on experience working with cloud platforms (AWS, GCP, Azure) and implementing scalable data pipelines. Adept at collaborating with cross-functional teams, translating business requirements into analytical solutions, and mentoring junior data professionals.
  • Recognized for combining technical expertise with business acumen to deliver high-impact results in fast-paced environments. Experienced in Data Integration Validation and Data Quality controls for ETL process and Data Warehousing using MSVisual Studio SSIS, SSAS, SSRS.
  • Developed predictive models using Decision Tree, Random Forest, Naïve Bayes, Logistic Regression, Social Network Analysis, Cluster Analysis, and Neural Networks.
  • Experienced in Machine Learning and Statistical Analysis with Python Scikit-Learn.

Overview

5
5
years of professional experience
1
1
Certification

Work history

Senior data scientist

S&P Global
Antioch, Tennessee
01.2025 - Current
  • Lead design and deployment of machine learning models (Python, R, TensorFlow, PyTorch) to solve high-impact business problems.
  • Architect scalable data pipelines using Spark, Hadoop, Airflow, and cloud platforms (Azure, AWS, GCP).
  • Developed Azure Cloud Enterprise Data Platform integrating ADF, Databricks, and ADLS Gen2 for enterprise-wide analytics.
  • Built predictive analytics solutions with PySpark/Spark SQL on Databricks, uncovering insights to improve efficiency and sustainability.
  • Applied AI/ML algorithms (decision trees, regression, NLP, supervised & unsupervised learning) for predictive modeling.
  • Implemented MLOps (Docker, Kubernetes, CI/CD) for robust model deployment, monitoring, and maintenance.
  • Partner with cross-functional teams to translate business needs into advanced analytics strategies and mentor junior data scientists.

Data scientist

Envision Healthcare
Nashville, Tennessee
11.2023 - 12.2024
  • Designed and deployed predictive models and ML solutions (Python, R, Scikit-learn, TensorFlow).
  • Built scalable data pipelines with Spark, Hadoop, Airflow, and Snowflake across cloud and on-prem systems.
  • Implemented segmentation models using unsupervised ML (K-means with PySpark).
  • Created ETL processes for multi-source data (HDFS, MySQL, Oracle, DB2, PostgreSQL) with Sqoop and Flume.
  • Developed dashboards & visualizations using Tableau, Power BI, and Python libraries.
  • Deployed ML applications into production using Flask, FastAPI, Docker, and AWS ML services.
  • Collaborated with business stakeholders to deliver data-driven insights and strategic recommendations.

Data analyst

PayMate
Mumbai, India
03.2021 - 07.2023
  • Built and optimized predictive models (Regression, Random Forest, SVM, KNN, Naïve Bayes, K-means).
  • Collected, cleaned, and validated data using SQL, Python (Pandas, NumPy), and Excel.
  • Performed analytics to identify key patterns, anomalies, and business trends.
  • Developed dashboards and reports in Tableau, Power BI, and QlikView for stakeholders.
  • Designed KPIs and ad-hoc queries to support business operations.
  • Applied statistical techniques (hypothesis testing, regression) to support analysis.
  • Ensured data quality and governance through collaboration and documentation.

Education

Master of Science - Computer Science

Florida Atlantic University
Boca Raton
08/2023 - 05/2025

Bachelor of Science - Information Technology

Anurag University
Hyderabad
08/2019 - 06/2023

Skills

  • Programming & Scripting: Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch), R, SQL, Scala
  • Machine Learning & AI: Supervised & Unsupervised Learning, Deep Learning, NLP, Predictive Modeling, Clustering, Time Series Forecasting, Statistical Analysis
  • Data Engineering & Big Data: Spark, Hadoop, Hive, Kafka, ETL Pipelines, Data Warehousing (SSIS, SSAS, SSRS), Sqoop, Flume, Airflow, Databricks
  • Databases: MySQL, PostgreSQL, Oracle, MongoDB, Cassandra, HBase, Redshift, Snowflake
  • Cloud Platforms: AWS (S3, Redshift, SageMaker, Kinesis), Google Cloud Platform (BigQuery, Vertex AI), Microsoft Azure (ADF, Synapse, ADLS Gen2, ML Studio)
  • Data Visualization & BI Tools: Tableau, Power BI, QlikView, Matplotlib, Seaborn
  • MLOps & Deployment: Docker, Kubernetes, Git, CI/CD, Flask, FastAPI, Model Deployment & Monitoring
  • Other Tools: Excel (Advanced), Jupyter Notebook, GitHub/GitLab, Jira

Certification

HackerRank Python
Issued: Sep 1, 2023


Wipro Talent Next – Java Full Stacks

Issued: Sep, 2022


ABOUT ME

Data Scientist with over 4 years of experience in machine learning, statistical modeling, and real-time analytics. I want to use my skills in Python, R, SQL, big data tools like Hadoop and Spark, and cloud platforms such as AWS, GCP, and Azure to create scalable data solutions and provide actionable insights. I am skilled in predictive modeling, data visualization using Tableau and Power BI, and ETL processes. I have a proven record of turning complex data into business value. I excel at working with teams and supporting data-driven decisions to boost efficiency and revenue.

Soft Skills


  • Analytical & Problem Solving: Critical Thinking, Strategic Decision-Making, Attention to Detail
  • Collaboration & Communication: Cross-Functional Teamwork, Stakeholder Communication, Active Listening, Technical Writing
  • Adaptability & Agility: Fast Learner, Comfort with Ambiguity, Continuous Improvement
  • Leadership: Initiative, Accountability, Time Management, Prioritization

Timeline

Senior data scientist

S&P Global
01.2025 - Current

Data scientist

Envision Healthcare
11.2023 - 12.2024

Data analyst

PayMate
03.2021 - 07.2023

Master of Science - Computer Science

Florida Atlantic University
08/2023 - 05/2025

Bachelor of Science - Information Technology

Anurag University
08/2019 - 06/2023
Varshith Vajinapally