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                                                      Candidate's Name
                                                          Data Scientist
                                 Blacksburg, VA | PHONE NUMBER AVAILABLE | EMAIL AVAILABLE
SUMMARY
A highly motivated and results-oriented Data Scientist with 5+ years of experience in leveraging data analysis to drive strategic
decision-making. Proven ability to design, develop, and implement machine learning models to solve complex business problems.
Skilled in data wrangling, visualization, and communication of insights to both technical and non-technical audiences.
SKILLS
Methodologies: SDLC, Agile, Waterfall
Language: Python, R, SQL, SAS, Java, C++, Scala
IDEs: Visual Studio Code, PyCharm, Google Colab, Jupyter Notebook
Machine Learning Skills: Linear Regression, Logistic Regression, Decision Trees, Classification, SVM, Random Forests, Naive Bayes,
KNN, K- Means, CNN, XGBoost, AdaBoost, Gradient Boost, ViT, LSTM
Cloud Technologies: AWS, GCP
Packages: NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, Seaborn, TensorFlow, ggplot2, PyTorch
Visualization / Other Tools: Tableau, Power BI, Microsoft Excel, Git
Database and Warehouses: MongoDB, MySQL, Microsoft SQL Server, PostgreSQL, Oracle, Big Query, Snowflake
Other Skills: MS Excel, Structured Data, Unstructured Data, Machine Learning, NLP, EDA, Communication Skill, Databricks, Data
Visualization, LLM Model, Predictive Analytics, Pattern Recognition, JMP, Data Integrity, Quantitative Data, Data Science, Statistics,
Statistical Analysis, Data Analytics
Operating System: Windows, Linux, Mac
EXPERIENCE
Principal Financial, USA | Data Scientist                                                                       July 2023 - Current
    Designed, developed, and deployed machine learning models for complex business challenges (customer churn prediction, product
    recommendation, anomaly detection).
    Managed and optimized data pipelines using AWS services like Glue, Kinesis, and Step Functions to automate data ingestion,
    transformation, and processing.
    Lead the development and implementation of a new machine learning pipeline, resulting in a 25% improvement in model accuracy.
    Continuously evaluate and optimize model performance to ensure ongoing effectiveness.
    Troubleshooted and resolved issues related to AWS services used for data science tasks.
    Collaborated with engineers to integrate machine learning models into production systems.
Amadeus It Group, India | Data Scientist                                                                      July 2018 - June 2021
    Worked on an R&D project to classify the incident records (natural language text) received by Amadeus into their products, ro ot
    causes using deep neural networks, statistical machine learning, and NLP.
    Designed, developed, and implemented deep learning models using frameworks like TensorFlow, PyTorch, or Keras for tasks such
    as optical character recognition, natural language processing (NLP), or time series forecasting.
    Used conventional NLP, Advanced 1D-CNN, bi-RNNs and experimented with novel ensemble techniques.
    Achieved 70-90% accuracy in the classifiers; Insights from which reduced the overall incidents by up to 20%.
    Used Python, Java, AWS, Docker, TensorFlow, Keras, MySQL, Spark, Node.js.
    Built a UI using Flask, JavaScript, jQuery for showing recommendations and trends.
Magna Infotech, India | Data Scientist                                                                       May 2017 - June 2018
    Utilized data analysis to identify key trends and patterns impacting business performance (marketing campaign effectiveness,
    customer segmentation).
    Developed and maintained data pipelines to automate data collection and processing, ensuring timely access to insights.
    Managed and maintained data infrastructure, including databases (SQL and NoSQL) and cloud platforms (AWS).
    Develop and maintain technical documentation for data pipelines, models, and analysis processes.
    Created clear and concise data visualizations (dashboards and reports) to effectively communicate findings to stakeholders across
    departments.
    Designed, developed, and deployed machine learning models using AWS SageMaker for model development and training, AWS
    Glue for data preparation, and Amazon EC2 instances for flexible, scalable deployments.
    Partner with cross-functional teams (marketing, finance, sales) to translate data insights into actionable business strategies.
    Conducted in-depth analysis to support strategic decision-making and resource allocation.
EDUCATION
Master in Computer Science | Virginia Tech, Blacksburg, VA
Bachelor in Electronics and Communication Engineering | Thapar Institute of Engineering & Technology, Patiala, Punjab