About Chiranjeev

As a Primary Data Analyst with the Office of Academic Career Development (OACD) at the University of Pittsburgh, I focus on enhancing postdoctoral outcomes by analyzing key factors influencing career trajectories. My contributions to a landmark study of 268 postdoctoral researchers involved advanced statistical analyses and development of regression models, significantly improving support strategies for transitioning faculty members.

My career is driven by a passion for data analytics and machine learning, fields where I apply rigorous statistical modeling and machine learning algorithms to transform raw data into actionable insights. My analytical acumen, underscored by a lifelong fascination with mathematics and science, empowers me to tackle complex real-world problems effectively.

My passion for data analytics and machine learning is deeply rooted in its power to solve real-world business challenges. Throughout my academic and professional journey, I have been consistently driven by the opportunities to leverage my analytical skills to enhance decision-making processes in business environments. The integration of mathematics and science within the fields of data science and analytics has not only captivated me but has also been the backbone of my approach to analyzing data. My expertise in statistical modeling, machine learning algorithms, and data visualization has proven invaluable in transforming complex business data into strategic insights that drive efficiency and innovation.

The percentage symbol (%) represents the level of expertise, exposure, and projects worked on.

Programming Skills

  • Python

    90%
  • SQL

    80%
  • Data Structures

    60%
  • Java

    30%

Frameworks

  • Pandas

    70%
  • Scikit-Learn

    70%
  • NumPy

    60%
  • NLTK

    60%
  • OpenCV

    40%

Tools

  • Pandas

  • Power BI

  • Tableau

  • AWS

  • SQL

  • Jupyter

  • Google Cloud

  • MongoDB

  • Apache Spark

  • MongoDB

  • GitHub

  • VS Code

Soft Skills

  • Hindi

    100%
  • English

    90%