About Rahul Teja Veeravarapu

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    United States
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About me

“I’m Rahul Teja Veeravarapu, and my professional journey is all about turning data into actionable insights. With a Master of Science in Data Science from the University at Buffalo, I’ve cultivated a deep expertise in statistical learning, data mining, and machine learning. My career path includes hands-on experience in data analysis, predictive modeling, and time series analysis. My belief in the transformative power of data came to life during my internship at Futures First Info and Services Ltd, where I ventured into financial market analysis. Here, I built custom Python algorithms and harnessed data-driven solutions to enhance trading strategies. Lifelong learning is a core value, which is why I’ve earned certifications in data structures, self-driving cars, and cloud computing. Let’s connect and explore how our shared passion for data can drive innovation and create lasting impacts.”

 

Education

  • 2022 - 2023
    University at Buffalo, The State University of New York

    Master of Science - Data Science

    GPA: 3.5/4.0 Coursework: Statistical Learning and Data Mining, Numerical Math Computation, Probability Theory, Programming and Database, Introduction to Machine Learning, Data Model Query Language, Data Intensive Computing

  • 2018 - 2022
    Osmania University, Vasavi College of Engineering

    Bachelor of Engineering in Mechanical Engineering

    GPA: 3.5/4.0

Experience

  • 2022 - 2022
    Futures First Info and Services Ltd

    Financial Market Intern

    ◦ Spearheaded ”Financial Market Analysis” project, conducting extensive research on COCOA and SUGAR commodities
    leveraging historical data and advanced Excel tools.
    ◦ Constructed informative dashboards in ’TABLEAU’ to track ’ROI’ and ’AVG VALUE.’
    ◦ Designed impactful graphs and charts to reveal seasonal trends and market fluctuations.
    ◦ Pioneered algorithmic trading, crafting custom Python algorithms for swift and precise execution of strategies.
    ◦ Accomplished a significant milestone, obtaining a 1000 dollar gross profit within two months of trading.
    ◦ Gained hands-on experience in financial markets, data analysis, and custom Python algorithm development.Enhanced
    company’s trading operations, highlighting technology-driven solutions’ potential in finance.

Skills

Anomaly Detection Apache Spark AWS c Clustering Computer Vision Data analytics Data Mining Data Modeling Data Structures Data Warehousing Deep learning Docker Ensemble models ETL(Extract Excel GitHub Hadoop(Map Reduce) Hypothesis Testing Jupiter Notebook Linear & Non - Linear Optimization Load) Logistics Regression Mathematics(Linear Algebra Matlab Matplotlib MICROSOFT OFFICE: Power Point MLOps Ms Excel MySQL Natural Language Processing(NLP) OOPS IN Python Pandas PostgreSQL Predictive Models PYTHON (NumPy Pytorch Quantitative Analysis R SAS Scikit-learn Statistical Analysis Statistics Supervised Learning(Linear Regression SVM Tableau TensorFlow ) Statistical Modeling Time series Transform Unsupervised Learning Visual Studio Word
 
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